Abstract

This paper presents an acquisition system and a procedure to capture 3D scenes in different spectral bands. The acquisition system is formed by a monochrome camera, and a Liquid Crystal Tunable Filter (LCTF) that allows to acquire images at different spectral bands in the [480, 680]nm wavelength interval. The Synthetic Aperture Integral Imaging acquisition technique is used to obtain the elemental images for each wavelength. These elemental images are used to computationally obtain the reconstruction planes of the 3D scene at different depth planes. The 3D profile of the acquired scene is also obtained using a minimization of the variance of the contribution of the elemental images at each image pixel. Experimental results show the viability to recover the 3D multispectral information of the scene. Integration of 3D and multispectral information could have important benefits in different areas, including skin cancer detection, remote sensing and pattern recognition, among others.

© 2012 OSA

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    [CrossRef]
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    [CrossRef]
  31. S.-H. Hong, J.-S. Jang, and B. Javidi, “Three dimensional volumetric object reconstruction using computational integral imaging ” Opt. Express12, 483–491 (2004).
    [CrossRef] [PubMed]
  32. M. DansehPanah and B. Javidi, “Profilometry and optical slicing by passive three-dimensional imaging,” Opt. Lett.34, 1105–1107 (2009).
    [CrossRef]
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2012 (4)

I. Quinzán Suárez, P. Latorre Carmona, P. García Sevilla, E. Boldo, F. Pla, V. García Jiménez, R. Lozoya, and G. Pérez de Lucía, “Non-Invasive melanoma diagnosis using multispectral imaging,” Int. Conf. on Pat. Rec. Applic. and Methods386–393 (2012).

C. G. Lee, I. Moon, and B. Javidi, “Photon-counting three-dimensional integral imaging with compression of elemental images,” J. Opt. Soc. Am. A29, 854–860 (2012).
[CrossRef]

M. A. Powers and C. C. Davis, “Spectral LADAR: active range-resolved three dimensional imaging spectroscopy,” Appl. Opt.51, 1468–1478 (2012).
[CrossRef] [PubMed]

A. Wallace, C. Nichol, and I. Woodhouse, “Recovery of forest canopy parameters by inversion of multispectral LiDAR data,” Remote Sens.4, 509–531 (2012).
[CrossRef]

2011 (3)

I. Kuzmina, I. Diebele, D. Jakovels, J. Spigulis, L. Valeine, J. Kapostinsh, and A. Berzina, “Towards noncontact skin melanoma selection by multispectral imaging analysis,” J. Biom. Opt.16, 0605021 (2011).
[CrossRef]

I. Kuzmina, I. Diebele, L. Valeine, D. Jakovels, A. Kempele, J. Kapostinsh, and J. Spigulis, “Multispectral imaging analysis of pigmented and vascular skin lesions: results of a clinical trial,” Proc. SPIE7883, 7883121 (2011).

H. H. Tran, H. Suenaga, K. Kuwana, K. Masamune, T. Dohi, S. Nakajima, and H. Liao, “Augmented reality system for oral surgery using 3D stereoscopic visualization,” Lecture Notes in Computer Science6891, 81–88 (2011).
[CrossRef]

2010 (4)

H. Liao, T. Inomata, I. Sakuma, and T. Dohi, “3D augmented reality for MRI-guided surgery using integral videography autostereoscopic image overlay,” IEEE Trans. Biomed. Eng.57, 1476–1486 (2010).
[CrossRef] [PubMed]

J. Arai, F. Okano, M. Kawakita, M. Okui, Y. Haino, M. Yohimura, M. Furuya, and M. Sato, “Integral three-dimensional television using a 33-megapixel imaging system,” J. Disp. Technol.6, 422–430 (2010).
[CrossRef]

M. Cho and B. Javidi, “Three-dimensional visualization of objects in turbid water using integral imaging,” J. Disp. Technol.6, 544–547 (2010).
[CrossRef]

D. S. Rigel, J. Russak, and R. Friedman, “The evolution of melanoma diagnosis: 25 years beyond the abcds. CA: A Cancer Journal for Clinicians60, 301–316 (2010).
[CrossRef]

2009 (4)

M. DansehPanah and B. Javidi, “Profilometry and optical slicing by passive three-dimensional imaging,” Opt. Lett.34, 1105–1107 (2009).
[CrossRef]

R. Martinez-Cuenca, G. Saavedra, M. Martinez-Corral, and B. Javidi, “Progress in 3-D multiperspective display by integral imaging,” Proc. IEEE97, 1067–1077 (2009).
[CrossRef]

G. P. Asner and R. E. Martin, “Airborne spectranomics: mapping canopy chemical and taxonomic diversity in tropical forests,” Front. Ecol. Environ.7, 269–276 (2009).
[CrossRef]

G. Moser and S. B. Serpico, “Automatic parameter optimization for support vector regression for land and sea surface temperature estimation from remote sensing data,” IEEE Trans. Geosci. Remote Sens.47, 909–921 (2009).
[CrossRef]

2008 (2)

S. Ahn, A. J. Chaudhuri, F. Darvas, C. A. Bouman, and R. M. Leahy, “Fast iterative image reconstruction methods for fully 3D multispectral bioluminiscence tomography,” Phys. Med. Biol.53, 3921–3942 (2008).
[CrossRef] [PubMed]

S. Sinha, D. Steedly, R. Szeliski, M. Agrawala, and M. Pollefeys, “Interactive 3D architectural modeling from unordered photo collections,” ACM Trans. Graphics27, 1–10 (2008).
[CrossRef]

2006 (3)

A. Stern and B. Javidi, “Three dimensional Sensing, visualization, and processing using integral imaging,” Proc. IEEE94, 591–607 (2006).
[CrossRef]

J. F. Andresen, J. Busck, and H. Heiselberg, “Pulsed raman fiber laser and multispectral imaging in three dimensions,” Appl. Opt.45, 6198–6204 (2006).

F. Okano, J. Arai, K. Mitani, and M. Okui, “Real-time integral imaging based on extremely high resolution video system,” Proc. IEEE94, 490–501 (2006).
[CrossRef]

2005 (1)

S.-H. Hong and B. Javidi, “Three-dimensional visualization of partially occluded objects using integral imaging,” IEEE/OSA J. Disp. Technol.1, 354–359 (2005).
[CrossRef]

2004 (1)

2003 (1)

E. J. Kwiatkowska and G. S. Fargion, “Application of machine-learning Techniques toward the creation of a consistent and calibrated global chlorophyll concentration baseline dataset using remotely sensed ocean color data,” IEEE Trans. Geosci. Remote Sens.41, 2844–2860 (2003).
[CrossRef]

2002 (1)

1997 (1)

1988 (1)

1971 (1)

1968 (1)

1931 (1)

1908 (1)

G. Lippmann, “Epreuves reversibles donnant la sensation du relief,” J. Phys. (Paris)7, 821–825 (1908).

Agrawala, M.

S. Sinha, D. Steedly, R. Szeliski, M. Agrawala, and M. Pollefeys, “Interactive 3D architectural modeling from unordered photo collections,” ACM Trans. Graphics27, 1–10 (2008).
[CrossRef]

Ahn, S.

S. Ahn, A. J. Chaudhuri, F. Darvas, C. A. Bouman, and R. M. Leahy, “Fast iterative image reconstruction methods for fully 3D multispectral bioluminiscence tomography,” Phys. Med. Biol.53, 3921–3942 (2008).
[CrossRef] [PubMed]

Andresen, J. F.

Arai, J.

J. Arai, F. Okano, M. Kawakita, M. Okui, Y. Haino, M. Yohimura, M. Furuya, and M. Sato, “Integral three-dimensional television using a 33-megapixel imaging system,” J. Disp. Technol.6, 422–430 (2010).
[CrossRef]

F. Okano, J. Arai, K. Mitani, and M. Okui, “Real-time integral imaging based on extremely high resolution video system,” Proc. IEEE94, 490–501 (2006).
[CrossRef]

F. Okano, H. Hoshino, J. Arai, and I. Yuyama, “Real-time pickup method for a three-dimensional image based on integral photography,” Appl. Opt.36, 1598–1603 (1997).
[CrossRef] [PubMed]

Asner, G. P.

G. P. Asner and R. E. Martin, “Airborne spectranomics: mapping canopy chemical and taxonomic diversity in tropical forests,” Front. Ecol. Environ.7, 269–276 (2009).
[CrossRef]

Berns, R. S.

R. S. Berns, Y. Zhao, L. A. Taplin, J. Coddington, C. McGlinchey, and A. Martins, “The use of spectral imaging as an analytical tool for art conservation,” American Institute of Conservation, Annual Meeting, Los Angeles, California, United States (2009).

Berzina, A.

I. Kuzmina, I. Diebele, D. Jakovels, J. Spigulis, L. Valeine, J. Kapostinsh, and A. Berzina, “Towards noncontact skin melanoma selection by multispectral imaging analysis,” J. Biom. Opt.16, 0605021 (2011).
[CrossRef]

Boldo, E.

I. Quinzán Suárez, P. Latorre Carmona, P. García Sevilla, E. Boldo, F. Pla, V. García Jiménez, R. Lozoya, and G. Pérez de Lucía, “Non-Invasive melanoma diagnosis using multispectral imaging,” Int. Conf. on Pat. Rec. Applic. and Methods386–393 (2012).

Bouman, C. A.

S. Ahn, A. J. Chaudhuri, F. Darvas, C. A. Bouman, and R. M. Leahy, “Fast iterative image reconstruction methods for fully 3D multispectral bioluminiscence tomography,” Phys. Med. Biol.53, 3921–3942 (2008).
[CrossRef] [PubMed]

Burckhardt, C. B.

Busck, J.

Chaudhuri, A. J.

S. Ahn, A. J. Chaudhuri, F. Darvas, C. A. Bouman, and R. M. Leahy, “Fast iterative image reconstruction methods for fully 3D multispectral bioluminiscence tomography,” Phys. Med. Biol.53, 3921–3942 (2008).
[CrossRef] [PubMed]

Cho, M.

M. Cho and B. Javidi, “Three-dimensional visualization of objects in turbid water using integral imaging,” J. Disp. Technol.6, 544–547 (2010).
[CrossRef]

Coddington, J.

R. S. Berns, Y. Zhao, L. A. Taplin, J. Coddington, C. McGlinchey, and A. Martins, “The use of spectral imaging as an analytical tool for art conservation,” American Institute of Conservation, Annual Meeting, Los Angeles, California, United States (2009).

DansehPanah, M.

Darvas, F.

S. Ahn, A. J. Chaudhuri, F. Darvas, C. A. Bouman, and R. M. Leahy, “Fast iterative image reconstruction methods for fully 3D multispectral bioluminiscence tomography,” Phys. Med. Biol.53, 3921–3942 (2008).
[CrossRef] [PubMed]

Davies, N.

Davis, C. C.

Diebele, I.

I. Kuzmina, I. Diebele, L. Valeine, D. Jakovels, A. Kempele, J. Kapostinsh, and J. Spigulis, “Multispectral imaging analysis of pigmented and vascular skin lesions: results of a clinical trial,” Proc. SPIE7883, 7883121 (2011).

I. Kuzmina, I. Diebele, D. Jakovels, J. Spigulis, L. Valeine, J. Kapostinsh, and A. Berzina, “Towards noncontact skin melanoma selection by multispectral imaging analysis,” J. Biom. Opt.16, 0605021 (2011).
[CrossRef]

Dohi, T.

H. H. Tran, H. Suenaga, K. Kuwana, K. Masamune, T. Dohi, S. Nakajima, and H. Liao, “Augmented reality system for oral surgery using 3D stereoscopic visualization,” Lecture Notes in Computer Science6891, 81–88 (2011).
[CrossRef]

H. Liao, T. Inomata, I. Sakuma, and T. Dohi, “3D augmented reality for MRI-guided surgery using integral videography autostereoscopic image overlay,” IEEE Trans. Biomed. Eng.57, 1476–1486 (2010).
[CrossRef] [PubMed]

Fargion, G. S.

E. J. Kwiatkowska and G. S. Fargion, “Application of machine-learning Techniques toward the creation of a consistent and calibrated global chlorophyll concentration baseline dataset using remotely sensed ocean color data,” IEEE Trans. Geosci. Remote Sens.41, 2844–2860 (2003).
[CrossRef]

Friedman, R.

D. S. Rigel, J. Russak, and R. Friedman, “The evolution of melanoma diagnosis: 25 years beyond the abcds. CA: A Cancer Journal for Clinicians60, 301–316 (2010).
[CrossRef]

Furuya, M.

J. Arai, F. Okano, M. Kawakita, M. Okui, Y. Haino, M. Yohimura, M. Furuya, and M. Sato, “Integral three-dimensional television using a 33-megapixel imaging system,” J. Disp. Technol.6, 422–430 (2010).
[CrossRef]

García Jiménez, V.

I. Quinzán Suárez, P. Latorre Carmona, P. García Sevilla, E. Boldo, F. Pla, V. García Jiménez, R. Lozoya, and G. Pérez de Lucía, “Non-Invasive melanoma diagnosis using multispectral imaging,” Int. Conf. on Pat. Rec. Applic. and Methods386–393 (2012).

García Sevilla, P.

I. Quinzán Suárez, P. Latorre Carmona, P. García Sevilla, E. Boldo, F. Pla, V. García Jiménez, R. Lozoya, and G. Pérez de Lucía, “Non-Invasive melanoma diagnosis using multispectral imaging,” Int. Conf. on Pat. Rec. Applic. and Methods386–393 (2012).

Haino, Y.

J. Arai, F. Okano, M. Kawakita, M. Okui, Y. Haino, M. Yohimura, M. Furuya, and M. Sato, “Integral three-dimensional television using a 33-megapixel imaging system,” J. Disp. Technol.6, 422–430 (2010).
[CrossRef]

Heiselberg, H.

Hong, S.-H.

S.-H. Hong and B. Javidi, “Three-dimensional visualization of partially occluded objects using integral imaging,” IEEE/OSA J. Disp. Technol.1, 354–359 (2005).
[CrossRef]

S.-H. Hong, J.-S. Jang, and B. Javidi, “Three dimensional volumetric object reconstruction using computational integral imaging ” Opt. Express12, 483–491 (2004).
[CrossRef] [PubMed]

Hoshino, H.

Inomata, T.

H. Liao, T. Inomata, I. Sakuma, and T. Dohi, “3D augmented reality for MRI-guided surgery using integral videography autostereoscopic image overlay,” IEEE Trans. Biomed. Eng.57, 1476–1486 (2010).
[CrossRef] [PubMed]

Ives, H. E.

Jakovels, D.

I. Kuzmina, I. Diebele, D. Jakovels, J. Spigulis, L. Valeine, J. Kapostinsh, and A. Berzina, “Towards noncontact skin melanoma selection by multispectral imaging analysis,” J. Biom. Opt.16, 0605021 (2011).
[CrossRef]

I. Kuzmina, I. Diebele, L. Valeine, D. Jakovels, A. Kempele, J. Kapostinsh, and J. Spigulis, “Multispectral imaging analysis of pigmented and vascular skin lesions: results of a clinical trial,” Proc. SPIE7883, 7883121 (2011).

Jang, J. S.

Jang, J.-S.

Javidi, B.

C. G. Lee, I. Moon, and B. Javidi, “Photon-counting three-dimensional integral imaging with compression of elemental images,” J. Opt. Soc. Am. A29, 854–860 (2012).
[CrossRef]

M. Cho and B. Javidi, “Three-dimensional visualization of objects in turbid water using integral imaging,” J. Disp. Technol.6, 544–547 (2010).
[CrossRef]

M. DansehPanah and B. Javidi, “Profilometry and optical slicing by passive three-dimensional imaging,” Opt. Lett.34, 1105–1107 (2009).
[CrossRef]

R. Martinez-Cuenca, G. Saavedra, M. Martinez-Corral, and B. Javidi, “Progress in 3-D multiperspective display by integral imaging,” Proc. IEEE97, 1067–1077 (2009).
[CrossRef]

A. Stern and B. Javidi, “Three dimensional Sensing, visualization, and processing using integral imaging,” Proc. IEEE94, 591–607 (2006).
[CrossRef]

S.-H. Hong and B. Javidi, “Three-dimensional visualization of partially occluded objects using integral imaging,” IEEE/OSA J. Disp. Technol.1, 354–359 (2005).
[CrossRef]

S.-H. Hong, J.-S. Jang, and B. Javidi, “Three dimensional volumetric object reconstruction using computational integral imaging ” Opt. Express12, 483–491 (2004).
[CrossRef] [PubMed]

J. S. Jang and B. Javidi, “Three dimensional synthetic aperture integral imaging,” Opt. Lett.27, 1144–1146 (2002).
[CrossRef]

J.-Y. Son, W.-H. Son, S.-K. Kim, K.-H. Lee, and B. Javidi, “Three-dimensional imaging for creating real-world-like environments,” Proc. IEEE, doc. ID 6145598, to be published (2012).
[CrossRef]

Kapostinsh, J.

I. Kuzmina, I. Diebele, D. Jakovels, J. Spigulis, L. Valeine, J. Kapostinsh, and A. Berzina, “Towards noncontact skin melanoma selection by multispectral imaging analysis,” J. Biom. Opt.16, 0605021 (2011).
[CrossRef]

I. Kuzmina, I. Diebele, L. Valeine, D. Jakovels, A. Kempele, J. Kapostinsh, and J. Spigulis, “Multispectral imaging analysis of pigmented and vascular skin lesions: results of a clinical trial,” Proc. SPIE7883, 7883121 (2011).

Kawakita, M.

J. Arai, F. Okano, M. Kawakita, M. Okui, Y. Haino, M. Yohimura, M. Furuya, and M. Sato, “Integral three-dimensional television using a 33-megapixel imaging system,” J. Disp. Technol.6, 422–430 (2010).
[CrossRef]

Kempele, A.

I. Kuzmina, I. Diebele, L. Valeine, D. Jakovels, A. Kempele, J. Kapostinsh, and J. Spigulis, “Multispectral imaging analysis of pigmented and vascular skin lesions: results of a clinical trial,” Proc. SPIE7883, 7883121 (2011).

Kim, S.-K.

J.-Y. Son, W.-H. Son, S.-K. Kim, K.-H. Lee, and B. Javidi, “Three-dimensional imaging for creating real-world-like environments,” Proc. IEEE, doc. ID 6145598, to be published (2012).
[CrossRef]

Kuwana, K.

H. H. Tran, H. Suenaga, K. Kuwana, K. Masamune, T. Dohi, S. Nakajima, and H. Liao, “Augmented reality system for oral surgery using 3D stereoscopic visualization,” Lecture Notes in Computer Science6891, 81–88 (2011).
[CrossRef]

Kuzmina, I.

I. Kuzmina, I. Diebele, L. Valeine, D. Jakovels, A. Kempele, J. Kapostinsh, and J. Spigulis, “Multispectral imaging analysis of pigmented and vascular skin lesions: results of a clinical trial,” Proc. SPIE7883, 7883121 (2011).

I. Kuzmina, I. Diebele, D. Jakovels, J. Spigulis, L. Valeine, J. Kapostinsh, and A. Berzina, “Towards noncontact skin melanoma selection by multispectral imaging analysis,” J. Biom. Opt.16, 0605021 (2011).
[CrossRef]

Kwiatkowska, E. J.

E. J. Kwiatkowska and G. S. Fargion, “Application of machine-learning Techniques toward the creation of a consistent and calibrated global chlorophyll concentration baseline dataset using remotely sensed ocean color data,” IEEE Trans. Geosci. Remote Sens.41, 2844–2860 (2003).
[CrossRef]

Latorre Carmona, P.

I. Quinzán Suárez, P. Latorre Carmona, P. García Sevilla, E. Boldo, F. Pla, V. García Jiménez, R. Lozoya, and G. Pérez de Lucía, “Non-Invasive melanoma diagnosis using multispectral imaging,” Int. Conf. on Pat. Rec. Applic. and Methods386–393 (2012).

Leahy, R. M.

S. Ahn, A. J. Chaudhuri, F. Darvas, C. A. Bouman, and R. M. Leahy, “Fast iterative image reconstruction methods for fully 3D multispectral bioluminiscence tomography,” Phys. Med. Biol.53, 3921–3942 (2008).
[CrossRef] [PubMed]

Lee, C. G.

Lee, K.-H.

J.-Y. Son, W.-H. Son, S.-K. Kim, K.-H. Lee, and B. Javidi, “Three-dimensional imaging for creating real-world-like environments,” Proc. IEEE, doc. ID 6145598, to be published (2012).
[CrossRef]

Liao, H.

H. H. Tran, H. Suenaga, K. Kuwana, K. Masamune, T. Dohi, S. Nakajima, and H. Liao, “Augmented reality system for oral surgery using 3D stereoscopic visualization,” Lecture Notes in Computer Science6891, 81–88 (2011).
[CrossRef]

H. Liao, T. Inomata, I. Sakuma, and T. Dohi, “3D augmented reality for MRI-guided surgery using integral videography autostereoscopic image overlay,” IEEE Trans. Biomed. Eng.57, 1476–1486 (2010).
[CrossRef] [PubMed]

Lippmann, G.

G. Lippmann, “Epreuves reversibles donnant la sensation du relief,” J. Phys. (Paris)7, 821–825 (1908).

Lozoya, R.

I. Quinzán Suárez, P. Latorre Carmona, P. García Sevilla, E. Boldo, F. Pla, V. García Jiménez, R. Lozoya, and G. Pérez de Lucía, “Non-Invasive melanoma diagnosis using multispectral imaging,” Int. Conf. on Pat. Rec. Applic. and Methods386–393 (2012).

Martin, R. E.

G. P. Asner and R. E. Martin, “Airborne spectranomics: mapping canopy chemical and taxonomic diversity in tropical forests,” Front. Ecol. Environ.7, 269–276 (2009).
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Martinez-Corral, M.

R. Martinez-Cuenca, G. Saavedra, M. Martinez-Corral, and B. Javidi, “Progress in 3-D multiperspective display by integral imaging,” Proc. IEEE97, 1067–1077 (2009).
[CrossRef]

Martinez-Cuenca, R.

R. Martinez-Cuenca, G. Saavedra, M. Martinez-Corral, and B. Javidi, “Progress in 3-D multiperspective display by integral imaging,” Proc. IEEE97, 1067–1077 (2009).
[CrossRef]

Martins, A.

R. S. Berns, Y. Zhao, L. A. Taplin, J. Coddington, C. McGlinchey, and A. Martins, “The use of spectral imaging as an analytical tool for art conservation,” American Institute of Conservation, Annual Meeting, Los Angeles, California, United States (2009).

Masamune, K.

H. H. Tran, H. Suenaga, K. Kuwana, K. Masamune, T. Dohi, S. Nakajima, and H. Liao, “Augmented reality system for oral surgery using 3D stereoscopic visualization,” Lecture Notes in Computer Science6891, 81–88 (2011).
[CrossRef]

McCornick, M.

McGlinchey, C.

R. S. Berns, Y. Zhao, L. A. Taplin, J. Coddington, C. McGlinchey, and A. Martins, “The use of spectral imaging as an analytical tool for art conservation,” American Institute of Conservation, Annual Meeting, Los Angeles, California, United States (2009).

Mitani, K.

F. Okano, J. Arai, K. Mitani, and M. Okui, “Real-time integral imaging based on extremely high resolution video system,” Proc. IEEE94, 490–501 (2006).
[CrossRef]

Moon, I.

Moser, G.

G. Moser and S. B. Serpico, “Automatic parameter optimization for support vector regression for land and sea surface temperature estimation from remote sensing data,” IEEE Trans. Geosci. Remote Sens.47, 909–921 (2009).
[CrossRef]

Nakajima, S.

H. H. Tran, H. Suenaga, K. Kuwana, K. Masamune, T. Dohi, S. Nakajima, and H. Liao, “Augmented reality system for oral surgery using 3D stereoscopic visualization,” Lecture Notes in Computer Science6891, 81–88 (2011).
[CrossRef]

Nichol, C.

A. Wallace, C. Nichol, and I. Woodhouse, “Recovery of forest canopy parameters by inversion of multispectral LiDAR data,” Remote Sens.4, 509–531 (2012).
[CrossRef]

Okano, F.

J. Arai, F. Okano, M. Kawakita, M. Okui, Y. Haino, M. Yohimura, M. Furuya, and M. Sato, “Integral three-dimensional television using a 33-megapixel imaging system,” J. Disp. Technol.6, 422–430 (2010).
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F. Okano, J. Arai, K. Mitani, and M. Okui, “Real-time integral imaging based on extremely high resolution video system,” Proc. IEEE94, 490–501 (2006).
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F. Okano, H. Hoshino, J. Arai, and I. Yuyama, “Real-time pickup method for a three-dimensional image based on integral photography,” Appl. Opt.36, 1598–1603 (1997).
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Okoshi, T.

Okui, M.

J. Arai, F. Okano, M. Kawakita, M. Okui, Y. Haino, M. Yohimura, M. Furuya, and M. Sato, “Integral three-dimensional television using a 33-megapixel imaging system,” J. Disp. Technol.6, 422–430 (2010).
[CrossRef]

F. Okano, J. Arai, K. Mitani, and M. Okui, “Real-time integral imaging based on extremely high resolution video system,” Proc. IEEE94, 490–501 (2006).
[CrossRef]

Pérez de Lucía, G.

I. Quinzán Suárez, P. Latorre Carmona, P. García Sevilla, E. Boldo, F. Pla, V. García Jiménez, R. Lozoya, and G. Pérez de Lucía, “Non-Invasive melanoma diagnosis using multispectral imaging,” Int. Conf. on Pat. Rec. Applic. and Methods386–393 (2012).

Pla, F.

I. Quinzán Suárez, P. Latorre Carmona, P. García Sevilla, E. Boldo, F. Pla, V. García Jiménez, R. Lozoya, and G. Pérez de Lucía, “Non-Invasive melanoma diagnosis using multispectral imaging,” Int. Conf. on Pat. Rec. Applic. and Methods386–393 (2012).

Pollefeys, M.

S. Sinha, D. Steedly, R. Szeliski, M. Agrawala, and M. Pollefeys, “Interactive 3D architectural modeling from unordered photo collections,” ACM Trans. Graphics27, 1–10 (2008).
[CrossRef]

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Quinzán Suárez, I.

I. Quinzán Suárez, P. Latorre Carmona, P. García Sevilla, E. Boldo, F. Pla, V. García Jiménez, R. Lozoya, and G. Pérez de Lucía, “Non-Invasive melanoma diagnosis using multispectral imaging,” Int. Conf. on Pat. Rec. Applic. and Methods386–393 (2012).

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D. S. Rigel, J. Russak, and R. Friedman, “The evolution of melanoma diagnosis: 25 years beyond the abcds. CA: A Cancer Journal for Clinicians60, 301–316 (2010).
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D. S. Rigel, J. Russak, and R. Friedman, “The evolution of melanoma diagnosis: 25 years beyond the abcds. CA: A Cancer Journal for Clinicians60, 301–316 (2010).
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R. Martinez-Cuenca, G. Saavedra, M. Martinez-Corral, and B. Javidi, “Progress in 3-D multiperspective display by integral imaging,” Proc. IEEE97, 1067–1077 (2009).
[CrossRef]

Sakuma, I.

H. Liao, T. Inomata, I. Sakuma, and T. Dohi, “3D augmented reality for MRI-guided surgery using integral videography autostereoscopic image overlay,” IEEE Trans. Biomed. Eng.57, 1476–1486 (2010).
[CrossRef] [PubMed]

Sato, M.

J. Arai, F. Okano, M. Kawakita, M. Okui, Y. Haino, M. Yohimura, M. Furuya, and M. Sato, “Integral three-dimensional television using a 33-megapixel imaging system,” J. Disp. Technol.6, 422–430 (2010).
[CrossRef]

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G. Moser and S. B. Serpico, “Automatic parameter optimization for support vector regression for land and sea surface temperature estimation from remote sensing data,” IEEE Trans. Geosci. Remote Sens.47, 909–921 (2009).
[CrossRef]

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S. Sinha, D. Steedly, R. Szeliski, M. Agrawala, and M. Pollefeys, “Interactive 3D architectural modeling from unordered photo collections,” ACM Trans. Graphics27, 1–10 (2008).
[CrossRef]

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J.-Y. Son, W.-H. Son, S.-K. Kim, K.-H. Lee, and B. Javidi, “Three-dimensional imaging for creating real-world-like environments,” Proc. IEEE, doc. ID 6145598, to be published (2012).
[CrossRef]

Son, W.-H.

J.-Y. Son, W.-H. Son, S.-K. Kim, K.-H. Lee, and B. Javidi, “Three-dimensional imaging for creating real-world-like environments,” Proc. IEEE, doc. ID 6145598, to be published (2012).
[CrossRef]

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I. Kuzmina, I. Diebele, D. Jakovels, J. Spigulis, L. Valeine, J. Kapostinsh, and A. Berzina, “Towards noncontact skin melanoma selection by multispectral imaging analysis,” J. Biom. Opt.16, 0605021 (2011).
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I. Kuzmina, I. Diebele, L. Valeine, D. Jakovels, A. Kempele, J. Kapostinsh, and J. Spigulis, “Multispectral imaging analysis of pigmented and vascular skin lesions: results of a clinical trial,” Proc. SPIE7883, 7883121 (2011).

Steedly, D.

S. Sinha, D. Steedly, R. Szeliski, M. Agrawala, and M. Pollefeys, “Interactive 3D architectural modeling from unordered photo collections,” ACM Trans. Graphics27, 1–10 (2008).
[CrossRef]

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A. Stern and B. Javidi, “Three dimensional Sensing, visualization, and processing using integral imaging,” Proc. IEEE94, 591–607 (2006).
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H. H. Tran, H. Suenaga, K. Kuwana, K. Masamune, T. Dohi, S. Nakajima, and H. Liao, “Augmented reality system for oral surgery using 3D stereoscopic visualization,” Lecture Notes in Computer Science6891, 81–88 (2011).
[CrossRef]

Szeliski, R.

S. Sinha, D. Steedly, R. Szeliski, M. Agrawala, and M. Pollefeys, “Interactive 3D architectural modeling from unordered photo collections,” ACM Trans. Graphics27, 1–10 (2008).
[CrossRef]

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R. S. Berns, Y. Zhao, L. A. Taplin, J. Coddington, C. McGlinchey, and A. Martins, “The use of spectral imaging as an analytical tool for art conservation,” American Institute of Conservation, Annual Meeting, Los Angeles, California, United States (2009).

Tran, H. H.

H. H. Tran, H. Suenaga, K. Kuwana, K. Masamune, T. Dohi, S. Nakajima, and H. Liao, “Augmented reality system for oral surgery using 3D stereoscopic visualization,” Lecture Notes in Computer Science6891, 81–88 (2011).
[CrossRef]

Valeine, L.

I. Kuzmina, I. Diebele, L. Valeine, D. Jakovels, A. Kempele, J. Kapostinsh, and J. Spigulis, “Multispectral imaging analysis of pigmented and vascular skin lesions: results of a clinical trial,” Proc. SPIE7883, 7883121 (2011).

I. Kuzmina, I. Diebele, D. Jakovels, J. Spigulis, L. Valeine, J. Kapostinsh, and A. Berzina, “Towards noncontact skin melanoma selection by multispectral imaging analysis,” J. Biom. Opt.16, 0605021 (2011).
[CrossRef]

Wallace, A.

A. Wallace, C. Nichol, and I. Woodhouse, “Recovery of forest canopy parameters by inversion of multispectral LiDAR data,” Remote Sens.4, 509–531 (2012).
[CrossRef]

Woodhouse, I.

A. Wallace, C. Nichol, and I. Woodhouse, “Recovery of forest canopy parameters by inversion of multispectral LiDAR data,” Remote Sens.4, 509–531 (2012).
[CrossRef]

Yang, L.

Yohimura, M.

J. Arai, F. Okano, M. Kawakita, M. Okui, Y. Haino, M. Yohimura, M. Furuya, and M. Sato, “Integral three-dimensional television using a 33-megapixel imaging system,” J. Disp. Technol.6, 422–430 (2010).
[CrossRef]

Yuyama, I.

Zhao, Y.

R. S. Berns, Y. Zhao, L. A. Taplin, J. Coddington, C. McGlinchey, and A. Martins, “The use of spectral imaging as an analytical tool for art conservation,” American Institute of Conservation, Annual Meeting, Los Angeles, California, United States (2009).

A Cancer Journal for Clinicians (1)

D. S. Rigel, J. Russak, and R. Friedman, “The evolution of melanoma diagnosis: 25 years beyond the abcds. CA: A Cancer Journal for Clinicians60, 301–316 (2010).
[CrossRef]

ACM Trans. Graphics (1)

S. Sinha, D. Steedly, R. Szeliski, M. Agrawala, and M. Pollefeys, “Interactive 3D architectural modeling from unordered photo collections,” ACM Trans. Graphics27, 1–10 (2008).
[CrossRef]

Appl. Opt. (5)

Front. Ecol. Environ. (1)

G. P. Asner and R. E. Martin, “Airborne spectranomics: mapping canopy chemical and taxonomic diversity in tropical forests,” Front. Ecol. Environ.7, 269–276 (2009).
[CrossRef]

IEEE Trans. Biomed. Eng. (1)

H. Liao, T. Inomata, I. Sakuma, and T. Dohi, “3D augmented reality for MRI-guided surgery using integral videography autostereoscopic image overlay,” IEEE Trans. Biomed. Eng.57, 1476–1486 (2010).
[CrossRef] [PubMed]

IEEE Trans. Geosci. Remote Sens. (2)

G. Moser and S. B. Serpico, “Automatic parameter optimization for support vector regression for land and sea surface temperature estimation from remote sensing data,” IEEE Trans. Geosci. Remote Sens.47, 909–921 (2009).
[CrossRef]

E. J. Kwiatkowska and G. S. Fargion, “Application of machine-learning Techniques toward the creation of a consistent and calibrated global chlorophyll concentration baseline dataset using remotely sensed ocean color data,” IEEE Trans. Geosci. Remote Sens.41, 2844–2860 (2003).
[CrossRef]

IEEE/OSA J. Disp. Technol. (1)

S.-H. Hong and B. Javidi, “Three-dimensional visualization of partially occluded objects using integral imaging,” IEEE/OSA J. Disp. Technol.1, 354–359 (2005).
[CrossRef]

Int. Conf. on Pat. Rec. Applic. and Methods (1)

I. Quinzán Suárez, P. Latorre Carmona, P. García Sevilla, E. Boldo, F. Pla, V. García Jiménez, R. Lozoya, and G. Pérez de Lucía, “Non-Invasive melanoma diagnosis using multispectral imaging,” Int. Conf. on Pat. Rec. Applic. and Methods386–393 (2012).

J. Biom. Opt. (1)

I. Kuzmina, I. Diebele, D. Jakovels, J. Spigulis, L. Valeine, J. Kapostinsh, and A. Berzina, “Towards noncontact skin melanoma selection by multispectral imaging analysis,” J. Biom. Opt.16, 0605021 (2011).
[CrossRef]

J. Disp. Technol. (2)

J. Arai, F. Okano, M. Kawakita, M. Okui, Y. Haino, M. Yohimura, M. Furuya, and M. Sato, “Integral three-dimensional television using a 33-megapixel imaging system,” J. Disp. Technol.6, 422–430 (2010).
[CrossRef]

M. Cho and B. Javidi, “Three-dimensional visualization of objects in turbid water using integral imaging,” J. Disp. Technol.6, 544–547 (2010).
[CrossRef]

J. Opt. Soc. Am. (2)

J. Opt. Soc. Am. A (1)

J. Phys. (Paris) (1)

G. Lippmann, “Epreuves reversibles donnant la sensation du relief,” J. Phys. (Paris)7, 821–825 (1908).

Lecture Notes in Computer Science (1)

H. H. Tran, H. Suenaga, K. Kuwana, K. Masamune, T. Dohi, S. Nakajima, and H. Liao, “Augmented reality system for oral surgery using 3D stereoscopic visualization,” Lecture Notes in Computer Science6891, 81–88 (2011).
[CrossRef]

Opt. Express (1)

Opt. Lett. (2)

Phys. Med. Biol. (1)

S. Ahn, A. J. Chaudhuri, F. Darvas, C. A. Bouman, and R. M. Leahy, “Fast iterative image reconstruction methods for fully 3D multispectral bioluminiscence tomography,” Phys. Med. Biol.53, 3921–3942 (2008).
[CrossRef] [PubMed]

Proc. IEEE (3)

F. Okano, J. Arai, K. Mitani, and M. Okui, “Real-time integral imaging based on extremely high resolution video system,” Proc. IEEE94, 490–501 (2006).
[CrossRef]

A. Stern and B. Javidi, “Three dimensional Sensing, visualization, and processing using integral imaging,” Proc. IEEE94, 591–607 (2006).
[CrossRef]

R. Martinez-Cuenca, G. Saavedra, M. Martinez-Corral, and B. Javidi, “Progress in 3-D multiperspective display by integral imaging,” Proc. IEEE97, 1067–1077 (2009).
[CrossRef]

Proc. SPIE (1)

I. Kuzmina, I. Diebele, L. Valeine, D. Jakovels, A. Kempele, J. Kapostinsh, and J. Spigulis, “Multispectral imaging analysis of pigmented and vascular skin lesions: results of a clinical trial,” Proc. SPIE7883, 7883121 (2011).

Remote Sens. (1)

A. Wallace, C. Nichol, and I. Woodhouse, “Recovery of forest canopy parameters by inversion of multispectral LiDAR data,” Remote Sens.4, 509–531 (2012).
[CrossRef]

Other (3)

Schneider, “Industrial Optics: OEM,” http://www.schneiderkreuznach.com , 2011.

R. S. Berns, Y. Zhao, L. A. Taplin, J. Coddington, C. McGlinchey, and A. Martins, “The use of spectral imaging as an analytical tool for art conservation,” American Institute of Conservation, Annual Meeting, Los Angeles, California, United States (2009).

J.-Y. Son, W.-H. Son, S.-K. Kim, K.-H. Lee, and B. Javidi, “Three-dimensional imaging for creating real-world-like environments,” Proc. IEEE, doc. ID 6145598, to be published (2012).
[CrossRef]

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Figures (6)

Fig. 1
Fig. 1

Integral Imaging data acquisition system setup.

Fig. 2
Fig. 2

Image reconstruction step using a projection of the elemental images through a virtual pinhole array

Fig. 3
Fig. 3

Image acquisition using the Integral Imaging technique.

Fig. 4
Fig. 4

Elemental images corresponding to positions: (2, 1), (2, 6), (2, 11), (6, 1), (6, 6), (6, 11), (9, 1), (9, 6), and (9, 11), for λ = 650nm.

Fig. 5
Fig. 5

False colour RGB reconstructed images at planes corresponding to z = 230, z = 249 and z = 267mm. The colour images were created using the spectral assumption: 480nm ← B, 550nm ← G and 650nm ← R.

Fig. 6
Fig. 6

(a) 3D profile of the 3 dice scene for λ = 650nm. (b) Elemental image corresponding to position (6, 5).

Equations (5)

Equations on this page are rendered with MathJax. Learn more.

E M p q = E I p q ( s x p x s x p M , s y q y s y q M ) ( z + g ) 2 + [ ( x s x p ) 2 + ( y s y q ) 2 ] ( 1 + 1 M ) 2
E M ( x , y , z ) = p = 0 m 1 q = 0 n 1 E M p q ( x , y , z )
D ( x , y , z ) = [ ( θ , ϕ , λ ) ( λ ) ] ( x , y , z ) 2 d θ d ϕ d λ
z ^ ( x , y ) = arg min z Z D ( x , y , z )
z ^ ( x , y ) = arg min z Z j = 1 M i = 1 N [ ( θ i , ϕ i , λ j ) ( λ j ) ] ( x , y , z ) 2

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