C. Shi, G. Wang, X. Pei, B. He, and X. Lin, “An interleaving updating framework of disparity and confidence map for stereo matching,” IEICE Trans. Inf. Syst. E95-D, 1552–1555 (2012).

[CrossRef]

C. Shi, G. Wang, X. Pei, B. He, and X. Lin, “Stereo matching using local plane fitting in confidence-based support window,” IEICE Trans. Inf. Syst. E95-D, 699–702 (2012).

[CrossRef]

K. Khoshelham and S. Elberink, “Accuracy and resolution of kinect depth data for indoor mapping applications,” Sensors 12, 1437–1454 (2012).

[CrossRef]

I. Haller and S. Nedevschi, “Design of interpolation functions for sub-pixel accuracy stereo-vision systems,” IEEE Trans. Image Process. 21, 889–898 (2011).

[CrossRef]

Q. Yang, L. Wang, R. Yang, H. Stewenius, and D. Nister, “Stereo matching with color-weighted correlation, hierarchical belief propagation, and occlusion handling,” IEEE Trans. Pattern Anal. Mach. Intell. 31, 492–504 (2009).

[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]

K. Muhlmann, D. Maier, J. Hesser, and R. Manner, “Calculating dense disparity maps from color stereo images, an efficient implementation,” Int. J. Comput. Vis. 47, 79–88 (2002).

[CrossRef]

H. Dai and X. Su, “Shape measurement by digital speckle temporal sequence correlation with digital light projector,” Opt. Eng. 40, 793–800 (2001) (in Chinese).

[CrossRef]

R. Zahib and J. Woodfill, “Non-parametric local transforms for computing visual correspondence,” Proc. ECCV 801, 151–158 (1994).

[CrossRef]

B. Freedman, A. Shpunt, M. Machline, and Y. Arieli, “Depth mapping using projected patterns,” U.S. patent 0,118,123 (13May2010).

H. Dai and X. Su, “Shape measurement by digital speckle temporal sequence correlation with digital light projector,” Opt. Eng. 40, 793–800 (2001) (in Chinese).

[CrossRef]

K. Khoshelham and S. Elberink, “Accuracy and resolution of kinect depth data for indoor mapping applications,” Sensors 12, 1437–1454 (2012).

[CrossRef]

B. Freedman, A. Shpunt, M. Machline, and Y. Arieli, “Depth mapping using projected patterns,” U.S. patent 0,118,123 (13May2010).

I. Haller and S. Nedevschi, “Design of interpolation functions for sub-pixel accuracy stereo-vision systems,” IEEE Trans. Image Process. 21, 889–898 (2011).

[CrossRef]

C. Shi, G. Wang, X. Pei, B. He, and X. Lin, “Stereo matching using local plane fitting in confidence-based support window,” IEICE Trans. Inf. Syst. E95-D, 699–702 (2012).

[CrossRef]

C. Shi, G. Wang, X. Pei, B. He, and X. Lin, “An interleaving updating framework of disparity and confidence map for stereo matching,” IEICE Trans. Inf. Syst. E95-D, 1552–1555 (2012).

[CrossRef]

K. Muhlmann, D. Maier, J. Hesser, and R. Manner, “Calculating dense disparity maps from color stereo images, an efficient implementation,” Int. J. Comput. Vis. 47, 79–88 (2002).

[CrossRef]

K. Khoshelham and S. Elberink, “Accuracy and resolution of kinect depth data for indoor mapping applications,” Sensors 12, 1437–1454 (2012).

[CrossRef]

C. Shi, G. Wang, X. Pei, B. He, and X. Lin, “Stereo matching using local plane fitting in confidence-based support window,” IEICE Trans. Inf. Syst. E95-D, 699–702 (2012).

[CrossRef]

C. Shi, G. Wang, X. Pei, B. He, and X. Lin, “An interleaving updating framework of disparity and confidence map for stereo matching,” IEICE Trans. Inf. Syst. E95-D, 1552–1555 (2012).

[CrossRef]

B. Freedman, A. Shpunt, M. Machline, and Y. Arieli, “Depth mapping using projected patterns,” U.S. patent 0,118,123 (13May2010).

K. Muhlmann, D. Maier, J. Hesser, and R. Manner, “Calculating dense disparity maps from color stereo images, an efficient implementation,” Int. J. Comput. Vis. 47, 79–88 (2002).

[CrossRef]

K. Muhlmann, D. Maier, J. Hesser, and R. Manner, “Calculating dense disparity maps from color stereo images, an efficient implementation,” Int. J. Comput. Vis. 47, 79–88 (2002).

[CrossRef]

K. Muhlmann, D. Maier, J. Hesser, and R. Manner, “Calculating dense disparity maps from color stereo images, an efficient implementation,” Int. J. Comput. Vis. 47, 79–88 (2002).

[CrossRef]

I. Haller and S. Nedevschi, “Design of interpolation functions for sub-pixel accuracy stereo-vision systems,” IEEE Trans. Image Process. 21, 889–898 (2011).

[CrossRef]

Q. Yang, L. Wang, R. Yang, H. Stewenius, and D. Nister, “Stereo matching with color-weighted correlation, hierarchical belief propagation, and occlusion handling,” IEEE Trans. Pattern Anal. Mach. Intell. 31, 492–504 (2009).

[CrossRef]

C. Shi, G. Wang, X. Pei, B. He, and X. Lin, “An interleaving updating framework of disparity and confidence map for stereo matching,” IEICE Trans. Inf. Syst. E95-D, 1552–1555 (2012).

[CrossRef]

C. Shi, G. Wang, X. Pei, B. He, and X. Lin, “Stereo matching using local plane fitting in confidence-based support window,” IEICE Trans. Inf. Syst. E95-D, 699–702 (2012).

[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]

C. Shi, G. Wang, X. Pei, B. He, and X. Lin, “Stereo matching using local plane fitting in confidence-based support window,” IEICE Trans. Inf. Syst. E95-D, 699–702 (2012).

[CrossRef]

C. Shi, G. Wang, X. Pei, B. He, and X. Lin, “An interleaving updating framework of disparity and confidence map for stereo matching,” IEICE Trans. Inf. Syst. E95-D, 1552–1555 (2012).

[CrossRef]

A. Shpunt and Z. Zalevsky, “Three-dimensional sensing using speckle patterns,” U.S. patent 0,096,783 (16April2009).

B. Freedman, A. Shpunt, M. Machline, and Y. Arieli, “Depth mapping using projected patterns,” U.S. patent 0,118,123 (13May2010).

Q. Yang, L. Wang, R. Yang, H. Stewenius, and D. Nister, “Stereo matching with color-weighted correlation, hierarchical belief propagation, and occlusion handling,” IEEE Trans. Pattern Anal. Mach. Intell. 31, 492–504 (2009).

[CrossRef]

H. Dai and X. Su, “Shape measurement by digital speckle temporal sequence correlation with digital light projector,” Opt. Eng. 40, 793–800 (2001) (in Chinese).

[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]

C. Shi, G. Wang, X. Pei, B. He, and X. Lin, “Stereo matching using local plane fitting in confidence-based support window,” IEICE Trans. Inf. Syst. E95-D, 699–702 (2012).

[CrossRef]

C. Shi, G. Wang, X. Pei, B. He, and X. Lin, “An interleaving updating framework of disparity and confidence map for stereo matching,” IEICE Trans. Inf. Syst. E95-D, 1552–1555 (2012).

[CrossRef]

Q. Yang, L. Wang, R. Yang, H. Stewenius, and D. Nister, “Stereo matching with color-weighted correlation, hierarchical belief propagation, and occlusion handling,” IEEE Trans. Pattern Anal. Mach. Intell. 31, 492–504 (2009).

[CrossRef]

R. Zahib and J. Woodfill, “Non-parametric local transforms for computing visual correspondence,” Proc. ECCV 801, 151–158 (1994).

[CrossRef]

Q. Yang, L. Wang, R. Yang, H. Stewenius, and D. Nister, “Stereo matching with color-weighted correlation, hierarchical belief propagation, and occlusion handling,” IEEE Trans. Pattern Anal. Mach. Intell. 31, 492–504 (2009).

[CrossRef]

Q. Yang, L. Wang, R. Yang, H. Stewenius, and D. Nister, “Stereo matching with color-weighted correlation, hierarchical belief propagation, and occlusion handling,” IEEE Trans. Pattern Anal. Mach. Intell. 31, 492–504 (2009).

[CrossRef]

R. Zahib and J. Woodfill, “Non-parametric local transforms for computing visual correspondence,” Proc. ECCV 801, 151–158 (1994).

[CrossRef]

A. Shpunt and Z. Zalevsky, “Three-dimensional sensing using speckle patterns,” U.S. patent 0,096,783 (16April2009).

I. Haller and S. Nedevschi, “Design of interpolation functions for sub-pixel accuracy stereo-vision systems,” IEEE Trans. Image Process. 21, 889–898 (2011).

[CrossRef]

Q. Yang, L. Wang, R. Yang, H. Stewenius, and D. Nister, “Stereo matching with color-weighted correlation, hierarchical belief propagation, and occlusion handling,” IEEE Trans. Pattern Anal. Mach. Intell. 31, 492–504 (2009).

[CrossRef]

C. Shi, G. Wang, X. Pei, B. He, and X. Lin, “An interleaving updating framework of disparity and confidence map for stereo matching,” IEICE Trans. Inf. Syst. E95-D, 1552–1555 (2012).

[CrossRef]

C. Shi, G. Wang, X. Pei, B. He, and X. Lin, “Stereo matching using local plane fitting in confidence-based support window,” IEICE Trans. Inf. Syst. E95-D, 699–702 (2012).

[CrossRef]

K. Muhlmann, D. Maier, J. Hesser, and R. Manner, “Calculating dense disparity maps from color stereo images, an efficient implementation,” Int. J. Comput. Vis. 47, 79–88 (2002).

[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]

H. Dai and X. Su, “Shape measurement by digital speckle temporal sequence correlation with digital light projector,” Opt. Eng. 40, 793–800 (2001) (in Chinese).

[CrossRef]

R. Zahib and J. Woodfill, “Non-parametric local transforms for computing visual correspondence,” Proc. ECCV 801, 151–158 (1994).

[CrossRef]

K. Khoshelham and S. Elberink, “Accuracy and resolution of kinect depth data for indoor mapping applications,” Sensors 12, 1437–1454 (2012).

[CrossRef]

B. Freedman, A. Shpunt, M. Machline, and Y. Arieli, “Depth mapping using projected patterns,” U.S. patent 0,118,123 (13May2010).

A. Shpunt and Z. Zalevsky, “Three-dimensional sensing using speckle patterns,” U.S. patent 0,096,783 (16April2009).