A. Abdelhafiz, B. Riedel, and W. Niemeier, “Towards a 3D true colored space by the fusion of laser scanner point cloud and digital photos,” in Proceedings of the ISPRS Working Group V/4 Workshop (ISPRS, 2005).

A. Sharf, M. Alexa, and D. Cohen-Or, “Context-based surface completion,” ACM Trans. Graph. 23, 878–887 (2004).

[CrossRef]

M. Bertalmo, G. Sapiro, V. Caselles, and C. Ballester, “Image inpainting,” in Proceedings of ACM SIGGRAPH (ACM, 2000), pp. 417–424.

R. Koch, I. Schiller, B. Bartczak, F. Kellner, and K. Kser, “MixIn3D: 3D mixed reality with ToF-camera,” Lect. Notes Comput. Sci. 5742, 126–141 (2009).

[CrossRef]

M. Bertalmo, G. Sapiro, V. Caselles, and C. Ballester, “Image inpainting,” in Proceedings of ACM SIGGRAPH (ACM, 2000), pp. 417–424.

P. Besl and H. McKay, “A method for registration of 3-D shapes,” IEEE Trans. Pattern Anal. Mach. Intell. 14, 239–256 (1992).

[CrossRef]

A. Bhavsar and A. Rajagopalan, “Inpainting large missing regions in range images,” in IEEE Conference on Pattern Recognition (IEEE, 2010), pp. 3464–3467.

A. Brunton, S. Wuhrer, and C. Shu, “Image-based model completion,” in Proceedings of the 6th International Conference on 3-D Digital Imaging and Modeling (IEEE, 2007), pp. 305–311.

M. Bertalmo, G. Sapiro, V. Caselles, and C. Ballester, “Image inpainting,” in Proceedings of ACM SIGGRAPH (ACM, 2000), pp. 417–424.

Z. J. Chen and J. Samaranbandu, “Planar region depth filling using edge detection with embedded confidence technique and Hough transform,” in International Conference on Multimedia and Expo (IEEE, 2003), pp. 89–92.

A. Sharf, M. Alexa, and D. Cohen-Or, “Context-based surface completion,” ACM Trans. Graph. 23, 878–887 (2004).

[CrossRef]

I. Tosic, B. A. Olshausen, and B. J. Culpepper, “Learning sparse representations of depth,” IEEE J. Sel. Top. Signal Process. 5, 941–952 (2011).

[CrossRef]

P. Dias, V. Sequeira, F. Vaz, and J. Goncalves, “Registration and fusion of intensity and range data for 3D modelling of real world scenes,” in Proceedings 4th International Conference on 3-D Digital Imaging and Modeling (IEEE, 2003), pp. 418–425.

S. Xu, A. Georghiades, H. Rushmeier, J. Dorsey, and L. McMillan, “Image guided geometry inference,” in Third International Symposium on 3D Data Processing, Visualization, and Transmission (ACM, 2006), pp. 310–317.

R. Duda and P. Hart, “Use of the Hough transformation to detect lines and curves in pictures,” Commun. ACM 15, 11–15 (1972).

[CrossRef]

C. Frueh, S. Jain, and A. Zakhor, “Data processing algorithms for generating textured 3D building facade meshes from laser scans and camera images,” Int. J. Comput. Vis. 61, 159–184 (2005).

[CrossRef]

C. Frueh, R. Sammon, and A. Zakhor, “Automated texture mapping of 3D city models with oblique aerial imagery,” in Proceedings of 2nd International Symposium on 3D Data Processing, Visualization, and Transmission (ACM, 2004), pp. 396–403.

Davis S. Marschner, M. Garr, and M. Levoy, “Filling holes in complex surfaces using volumetric diffusion,” in First International Symposium on 3D Data Processing, Visualization, and Transmission (IEEE, 2002), pp. 428–441.

S. Xu, A. Georghiades, H. Rushmeier, J. Dorsey, and L. McMillan, “Image guided geometry inference,” in Third International Symposium on 3D Data Processing, Visualization, and Transmission (ACM, 2006), pp. 310–317.

P. Dias, V. Sequeira, F. Vaz, and J. Goncalves, “Registration and fusion of intensity and range data for 3D modelling of real world scenes,” in Proceedings 4th International Conference on 3-D Digital Imaging and Modeling (IEEE, 2003), pp. 418–425.

G. Medioni and G. Guy, “Inference of surfaces, 3D curves, and junctions from sparse, noisy, 3-D data,” IEEE Trans. Pattern Anal. Mach. Intell. 19, 1265–1277 (1997).

[CrossRef]

F. Qi, J. Han, P. Wang, G. Shi, and F. Li, “Structure guided fusion for depth map inpainting,” Pattern Recogn. Lett. 34, 70–76 (2013).

[CrossRef]

R. Duda and P. Hart, “Use of the Hough transformation to detect lines and curves in pictures,” Commun. ACM 15, 11–15 (1972).

[CrossRef]

K.-J. Oh, S. Yea, and Y.-S. Ho, “Hole-filling method using depth based in-painting for view synthesis in free viewpoint television (FTV) and 3D video,” in Picture Coding Symposium (IEEE, 2009), pp. 1–4.

C. Frueh, S. Jain, and A. Zakhor, “Data processing algorithms for generating textured 3D building facade meshes from laser scans and camera images,” Int. J. Comput. Vis. 61, 159–184 (2005).

[CrossRef]

J. Jia and C.-K. Tang, “Image repairing: robust image synthesis by adaptive ND tensor voting,” in IEEE Conference on Computer Vision and Pattern Recognition (IEEE, 2003), pp. 643–650.

R. Koch, I. Schiller, B. Bartczak, F. Kellner, and K. Kser, “MixIn3D: 3D mixed reality with ToF-camera,” Lect. Notes Comput. Sci. 5742, 126–141 (2009).

[CrossRef]

R. Koch, I. Schiller, B. Bartczak, F. Kellner, and K. Kser, “MixIn3D: 3D mixed reality with ToF-camera,” Lect. Notes Comput. Sci. 5742, 126–141 (2009).

[CrossRef]

R. Koch, I. Schiller, B. Bartczak, F. Kellner, and K. Kser, “MixIn3D: 3D mixed reality with ToF-camera,” Lect. Notes Comput. Sci. 5742, 126–141 (2009).

[CrossRef]

M. Kulkarni, A. Rajagopalan, and G. Rigoll, “Depth inpainting with tensor voting using local geometry,” in Proceedings of International Conference on Computer Vision Theory and Applications (SciTePress, 2012), pp. 22–30.

G. Medioni, M. Lee, and C. Tang, A Computational Framework for Segmentation and Grouping (Elsevier, 2000).

G. Medioni, C. K. Tang, and M. S. Lee, “Tensor voting—theory and applications,” Int. J. Comput. Inf. Sci. 5, 1–10 (2000).

S. Lee and G. Medioni, “Non-uniform skew estimation by tensor voting,” in Proceedings of Workshop on Document Image Analysis (ACM, 1997), pp. 1–4.

Davis S. Marschner, M. Garr, and M. Levoy, “Filling holes in complex surfaces using volumetric diffusion,” in First International Symposium on 3D Data Processing, Visualization, and Transmission (IEEE, 2002), pp. 428–441.

F. Qi, J. Han, P. Wang, G. Shi, and F. Li, “Structure guided fusion for depth map inpainting,” Pattern Recogn. Lett. 34, 70–76 (2013).

[CrossRef]

X. Liu, X. Yang, and H. Zhang, “Fusion of depth maps based on confidence,” in International Conference on Electronics, Communications, and Control (IEEE, 2011), pp. 2658–2661.

Davis S. Marschner, M. Garr, and M. Levoy, “Filling holes in complex surfaces using volumetric diffusion,” in First International Symposium on 3D Data Processing, Visualization, and Transmission (IEEE, 2002), pp. 428–441.

P. Stavrou, P. Mavridis, G. Papaioannou, G. Passalis, and T. Theoharis, “3D object repair using 2D algorithms,” in Proceedings of International Conference on Computational Science (ACM, 2006), pp. 271–278.

P. Besl and H. McKay, “A method for registration of 3-D shapes,” IEEE Trans. Pattern Anal. Mach. Intell. 14, 239–256 (1992).

[CrossRef]

S. Xu, A. Georghiades, H. Rushmeier, J. Dorsey, and L. McMillan, “Image guided geometry inference,” in Third International Symposium on 3D Data Processing, Visualization, and Transmission (ACM, 2006), pp. 310–317.

G. Medioni, C. K. Tang, and M. S. Lee, “Tensor voting—theory and applications,” Int. J. Comput. Inf. Sci. 5, 1–10 (2000).

G. Medioni and G. Guy, “Inference of surfaces, 3D curves, and junctions from sparse, noisy, 3-D data,” IEEE Trans. Pattern Anal. Mach. Intell. 19, 1265–1277 (1997).

[CrossRef]

S. Lee and G. Medioni, “Non-uniform skew estimation by tensor voting,” in Proceedings of Workshop on Document Image Analysis (ACM, 1997), pp. 1–4.

G. Medioni, M. Lee, and C. Tang, A Computational Framework for Segmentation and Grouping (Elsevier, 2000).

A. Abdelhafiz, B. Riedel, and W. Niemeier, “Towards a 3D true colored space by the fusion of laser scanner point cloud and digital photos,” in Proceedings of the ISPRS Working Group V/4 Workshop (ISPRS, 2005).

K.-J. Oh, S. Yea, and Y.-S. Ho, “Hole-filling method using depth based in-painting for view synthesis in free viewpoint television (FTV) and 3D video,” in Picture Coding Symposium (IEEE, 2009), pp. 1–4.

J. Wang and M. Oliveira, “A hole-filling strategy for reconstruction of smooth surfaces in range images,” in Brazilian Symposium on Computer Graphics and Image Processing (IEEE, 2003), pp. 11–18.

I. Tosic, B. A. Olshausen, and B. J. Culpepper, “Learning sparse representations of depth,” IEEE J. Sel. Top. Signal Process. 5, 941–952 (2011).

[CrossRef]

D. Scharstein and C. Pal, “Learning conditional random fields for stereo,” in IEEE Conference on Computer Vision and Pattern Recognition (IEEE, 2007), pp. 1–8.

P. Stavrou, P. Mavridis, G. Papaioannou, G. Passalis, and T. Theoharis, “3D object repair using 2D algorithms,” in Proceedings of International Conference on Computational Science (ACM, 2006), pp. 271–278.

P. Stavrou, P. Mavridis, G. Papaioannou, G. Passalis, and T. Theoharis, “3D object repair using 2D algorithms,” in Proceedings of International Conference on Computational Science (ACM, 2006), pp. 271–278.

F. Qi, J. Han, P. Wang, G. Shi, and F. Li, “Structure guided fusion for depth map inpainting,” Pattern Recogn. Lett. 34, 70–76 (2013).

[CrossRef]

R. Sahay and A. Rajagopalan, “Joint image and depth completion in shape-from-focus: taking a cue from parallax,” J. Opt. Soc. Am. A 27, 1203–1213 (2010).

[CrossRef]

A. Bhavsar and A. Rajagopalan, “Inpainting large missing regions in range images,” in IEEE Conference on Pattern Recognition (IEEE, 2010), pp. 3464–3467.

M. Kulkarni, A. Rajagopalan, and G. Rigoll, “Depth inpainting with tensor voting using local geometry,” in Proceedings of International Conference on Computer Vision Theory and Applications (SciTePress, 2012), pp. 22–30.

A. Abdelhafiz, B. Riedel, and W. Niemeier, “Towards a 3D true colored space by the fusion of laser scanner point cloud and digital photos,” in Proceedings of the ISPRS Working Group V/4 Workshop (ISPRS, 2005).

M. Kulkarni, A. Rajagopalan, and G. Rigoll, “Depth inpainting with tensor voting using local geometry,” in Proceedings of International Conference on Computer Vision Theory and Applications (SciTePress, 2012), pp. 22–30.

L. Yin, X. Wei, Y. Sun, J. Wang, and M. J. Rosato, “A 3D facial expression database for facial behavior research,” in 7th International Conference on Automatic Face and Gesture Recognition (IEEE, 2006), pp. 211–216.

S. Xu, A. Georghiades, H. Rushmeier, J. Dorsey, and L. McMillan, “Image guided geometry inference,” in Third International Symposium on 3D Data Processing, Visualization, and Transmission (ACM, 2006), pp. 310–317.

Z. J. Chen and J. Samaranbandu, “Planar region depth filling using edge detection with embedded confidence technique and Hough transform,” in International Conference on Multimedia and Expo (IEEE, 2003), pp. 89–92.

C. Frueh, R. Sammon, and A. Zakhor, “Automated texture mapping of 3D city models with oblique aerial imagery,” in Proceedings of 2nd International Symposium on 3D Data Processing, Visualization, and Transmission (ACM, 2004), pp. 396–403.

M. Bertalmo, G. Sapiro, V. Caselles, and C. Ballester, “Image inpainting,” in Proceedings of ACM SIGGRAPH (ACM, 2000), pp. 417–424.

D. Scharstein and R. Szeliski, “A taxonomy and evaluation of dense two-frame stereo correspondence algorithms,” Int. J. Comput. Vis. 47, 7–42 (2002).

[CrossRef]

D. Scharstein and C. Pal, “Learning conditional random fields for stereo,” in IEEE Conference on Computer Vision and Pattern Recognition (IEEE, 2007), pp. 1–8.

R. Koch, I. Schiller, B. Bartczak, F. Kellner, and K. Kser, “MixIn3D: 3D mixed reality with ToF-camera,” Lect. Notes Comput. Sci. 5742, 126–141 (2009).

[CrossRef]

P. Dias, V. Sequeira, F. Vaz, and J. Goncalves, “Registration and fusion of intensity and range data for 3D modelling of real world scenes,” in Proceedings 4th International Conference on 3-D Digital Imaging and Modeling (IEEE, 2003), pp. 418–425.

A. Sharf, M. Alexa, and D. Cohen-Or, “Context-based surface completion,” ACM Trans. Graph. 23, 878–887 (2004).

[CrossRef]

F. Qi, J. Han, P. Wang, G. Shi, and F. Li, “Structure guided fusion for depth map inpainting,” Pattern Recogn. Lett. 34, 70–76 (2013).

[CrossRef]

J. Shi and C. Tomasi, “Good features to track,” in IEEE Conference on Computer Vision and Pattern Recognition (IEEE, 1994), pp. 593–600.

A. Brunton, S. Wuhrer, and C. Shu, “Image-based model completion,” in Proceedings of the 6th International Conference on 3-D Digital Imaging and Modeling (IEEE, 2007), pp. 305–311.

P. Stavrou, P. Mavridis, G. Papaioannou, G. Passalis, and T. Theoharis, “3D object repair using 2D algorithms,” in Proceedings of International Conference on Computational Science (ACM, 2006), pp. 271–278.

L. Yin, X. Wei, Y. Sun, J. Wang, and M. J. Rosato, “A 3D facial expression database for facial behavior research,” in 7th International Conference on Automatic Face and Gesture Recognition (IEEE, 2006), pp. 211–216.

D. Scharstein and R. Szeliski, “A taxonomy and evaluation of dense two-frame stereo correspondence algorithms,” Int. J. Comput. Vis. 47, 7–42 (2002).

[CrossRef]

G. Medioni, M. Lee, and C. Tang, A Computational Framework for Segmentation and Grouping (Elsevier, 2000).

G. Medioni, C. K. Tang, and M. S. Lee, “Tensor voting—theory and applications,” Int. J. Comput. Inf. Sci. 5, 1–10 (2000).

J. Jia and C.-K. Tang, “Image repairing: robust image synthesis by adaptive ND tensor voting,” in IEEE Conference on Computer Vision and Pattern Recognition (IEEE, 2003), pp. 643–650.

P. Stavrou, P. Mavridis, G. Papaioannou, G. Passalis, and T. Theoharis, “3D object repair using 2D algorithms,” in Proceedings of International Conference on Computational Science (ACM, 2006), pp. 271–278.

J. Shi and C. Tomasi, “Good features to track,” in IEEE Conference on Computer Vision and Pattern Recognition (IEEE, 1994), pp. 593–600.

I. Tosic, B. A. Olshausen, and B. J. Culpepper, “Learning sparse representations of depth,” IEEE J. Sel. Top. Signal Process. 5, 941–952 (2011).

[CrossRef]

P. Dias, V. Sequeira, F. Vaz, and J. Goncalves, “Registration and fusion of intensity and range data for 3D modelling of real world scenes,” in Proceedings 4th International Conference on 3-D Digital Imaging and Modeling (IEEE, 2003), pp. 418–425.

L. Yin, X. Wei, Y. Sun, J. Wang, and M. J. Rosato, “A 3D facial expression database for facial behavior research,” in 7th International Conference on Automatic Face and Gesture Recognition (IEEE, 2006), pp. 211–216.

J. Wang and M. Oliveira, “A hole-filling strategy for reconstruction of smooth surfaces in range images,” in Brazilian Symposium on Computer Graphics and Image Processing (IEEE, 2003), pp. 11–18.

F. Qi, J. Han, P. Wang, G. Shi, and F. Li, “Structure guided fusion for depth map inpainting,” Pattern Recogn. Lett. 34, 70–76 (2013).

[CrossRef]

L. Yin, X. Wei, Y. Sun, J. Wang, and M. J. Rosato, “A 3D facial expression database for facial behavior research,” in 7th International Conference on Automatic Face and Gesture Recognition (IEEE, 2006), pp. 211–216.

A. Brunton, S. Wuhrer, and C. Shu, “Image-based model completion,” in Proceedings of the 6th International Conference on 3-D Digital Imaging and Modeling (IEEE, 2007), pp. 305–311.

S. Xu, A. Georghiades, H. Rushmeier, J. Dorsey, and L. McMillan, “Image guided geometry inference,” in Third International Symposium on 3D Data Processing, Visualization, and Transmission (ACM, 2006), pp. 310–317.

X. Liu, X. Yang, and H. Zhang, “Fusion of depth maps based on confidence,” in International Conference on Electronics, Communications, and Control (IEEE, 2011), pp. 2658–2661.

K.-J. Oh, S. Yea, and Y.-S. Ho, “Hole-filling method using depth based in-painting for view synthesis in free viewpoint television (FTV) and 3D video,” in Picture Coding Symposium (IEEE, 2009), pp. 1–4.

L. Yin, X. Wei, Y. Sun, J. Wang, and M. J. Rosato, “A 3D facial expression database for facial behavior research,” in 7th International Conference on Automatic Face and Gesture Recognition (IEEE, 2006), pp. 211–216.

C. Frueh, S. Jain, and A. Zakhor, “Data processing algorithms for generating textured 3D building facade meshes from laser scans and camera images,” Int. J. Comput. Vis. 61, 159–184 (2005).

[CrossRef]

C. Frueh, R. Sammon, and A. Zakhor, “Automated texture mapping of 3D city models with oblique aerial imagery,” in Proceedings of 2nd International Symposium on 3D Data Processing, Visualization, and Transmission (ACM, 2004), pp. 396–403.

X. Liu, X. Yang, and H. Zhang, “Fusion of depth maps based on confidence,” in International Conference on Electronics, Communications, and Control (IEEE, 2011), pp. 2658–2661.

A. Sharf, M. Alexa, and D. Cohen-Or, “Context-based surface completion,” ACM Trans. Graph. 23, 878–887 (2004).

[CrossRef]

R. Duda and P. Hart, “Use of the Hough transformation to detect lines and curves in pictures,” Commun. ACM 15, 11–15 (1972).

[CrossRef]

I. Tosic, B. A. Olshausen, and B. J. Culpepper, “Learning sparse representations of depth,” IEEE J. Sel. Top. Signal Process. 5, 941–952 (2011).

[CrossRef]

G. Medioni and G. Guy, “Inference of surfaces, 3D curves, and junctions from sparse, noisy, 3-D data,” IEEE Trans. Pattern Anal. Mach. Intell. 19, 1265–1277 (1997).

[CrossRef]

P. Besl and H. McKay, “A method for registration of 3-D shapes,” IEEE Trans. Pattern Anal. Mach. Intell. 14, 239–256 (1992).

[CrossRef]

G. Medioni, C. K. Tang, and M. S. Lee, “Tensor voting—theory and applications,” Int. J. Comput. Inf. Sci. 5, 1–10 (2000).

C. Frueh, S. Jain, and A. Zakhor, “Data processing algorithms for generating textured 3D building facade meshes from laser scans and camera images,” Int. J. Comput. Vis. 61, 159–184 (2005).

[CrossRef]

D. Scharstein and R. Szeliski, “A taxonomy and evaluation of dense two-frame stereo correspondence algorithms,” Int. J. Comput. Vis. 47, 7–42 (2002).

[CrossRef]

R. Koch, I. Schiller, B. Bartczak, F. Kellner, and K. Kser, “MixIn3D: 3D mixed reality with ToF-camera,” Lect. Notes Comput. Sci. 5742, 126–141 (2009).

[CrossRef]

F. Qi, J. Han, P. Wang, G. Shi, and F. Li, “Structure guided fusion for depth map inpainting,” Pattern Recogn. Lett. 34, 70–76 (2013).

[CrossRef]

S. Lee and G. Medioni, “Non-uniform skew estimation by tensor voting,” in Proceedings of Workshop on Document Image Analysis (ACM, 1997), pp. 1–4.

J. Jia and C.-K. Tang, “Image repairing: robust image synthesis by adaptive ND tensor voting,” in IEEE Conference on Computer Vision and Pattern Recognition (IEEE, 2003), pp. 643–650.

M. Kulkarni, A. Rajagopalan, and G. Rigoll, “Depth inpainting with tensor voting using local geometry,” in Proceedings of International Conference on Computer Vision Theory and Applications (SciTePress, 2012), pp. 22–30.

M. Bertalmo, G. Sapiro, V. Caselles, and C. Ballester, “Image inpainting,” in Proceedings of ACM SIGGRAPH (ACM, 2000), pp. 417–424.

G. Medioni, M. Lee, and C. Tang, A Computational Framework for Segmentation and Grouping (Elsevier, 2000).

C. Frueh, R. Sammon, and A. Zakhor, “Automated texture mapping of 3D city models with oblique aerial imagery,” in Proceedings of 2nd International Symposium on 3D Data Processing, Visualization, and Transmission (ACM, 2004), pp. 396–403.

A. Abdelhafiz, B. Riedel, and W. Niemeier, “Towards a 3D true colored space by the fusion of laser scanner point cloud and digital photos,” in Proceedings of the ISPRS Working Group V/4 Workshop (ISPRS, 2005).

A. Brunton, S. Wuhrer, and C. Shu, “Image-based model completion,” in Proceedings of the 6th International Conference on 3-D Digital Imaging and Modeling (IEEE, 2007), pp. 305–311.

P. Dias, V. Sequeira, F. Vaz, and J. Goncalves, “Registration and fusion of intensity and range data for 3D modelling of real world scenes,” in Proceedings 4th International Conference on 3-D Digital Imaging and Modeling (IEEE, 2003), pp. 418–425.

S. Xu, A. Georghiades, H. Rushmeier, J. Dorsey, and L. McMillan, “Image guided geometry inference,” in Third International Symposium on 3D Data Processing, Visualization, and Transmission (ACM, 2006), pp. 310–317.

X. Liu, X. Yang, and H. Zhang, “Fusion of depth maps based on confidence,” in International Conference on Electronics, Communications, and Control (IEEE, 2011), pp. 2658–2661.

A. Bhavsar and A. Rajagopalan, “Inpainting large missing regions in range images,” in IEEE Conference on Pattern Recognition (IEEE, 2010), pp. 3464–3467.

Davis S. Marschner, M. Garr, and M. Levoy, “Filling holes in complex surfaces using volumetric diffusion,” in First International Symposium on 3D Data Processing, Visualization, and Transmission (IEEE, 2002), pp. 428–441.

K.-J. Oh, S. Yea, and Y.-S. Ho, “Hole-filling method using depth based in-painting for view synthesis in free viewpoint television (FTV) and 3D video,” in Picture Coding Symposium (IEEE, 2009), pp. 1–4.

J. Wang and M. Oliveira, “A hole-filling strategy for reconstruction of smooth surfaces in range images,” in Brazilian Symposium on Computer Graphics and Image Processing (IEEE, 2003), pp. 11–18.

P. Stavrou, P. Mavridis, G. Papaioannou, G. Passalis, and T. Theoharis, “3D object repair using 2D algorithms,” in Proceedings of International Conference on Computational Science (ACM, 2006), pp. 271–278.

J. Shi and C. Tomasi, “Good features to track,” in IEEE Conference on Computer Vision and Pattern Recognition (IEEE, 1994), pp. 593–600.

L. Yin, X. Wei, Y. Sun, J. Wang, and M. J. Rosato, “A 3D facial expression database for facial behavior research,” in 7th International Conference on Automatic Face and Gesture Recognition (IEEE, 2006), pp. 211–216.

D. Scharstein and C. Pal, “Learning conditional random fields for stereo,” in IEEE Conference on Computer Vision and Pattern Recognition (IEEE, 2007), pp. 1–8.

Z. J. Chen and J. Samaranbandu, “Planar region depth filling using edge detection with embedded confidence technique and Hough transform,” in International Conference on Multimedia and Expo (IEEE, 2003), pp. 89–92.