TY - GEN
T1 - Single camera-based full depth map estimation using color shifting property of a multiple color-filter aperture
AU - Lee, Seungwon
AU - Lee, Junghyun
AU - Hayes, Monson H.
AU - Katsaggelos, Aggelos K
AU - Paik, Joonki
PY - 2012/10/23
Y1 - 2012/10/23
N2 - A multiple color-filter aperture (MCA) camera can provide depth information as well as color and intensity in the single-camera framework, where the MCA generates misalignment between color channels depending on the distance of a region-of-interest. In this paper, we present a single camera-based estimation of the full depth map using the color shifting property of the MCA. For estimating the color shifting vectors (CSVs) among red, green, and blue color channels, edges are extracted at each color channel. At the edge, we estimate CSVs using normalized cross correlation combined with color shifting mask map. A full depth map is then generated by depth interpolation using the matting Laplacian method from sparsely estimated CSVs at an edge location. Experimental results show that the proposed method can not only estimate the full depth map but also correct the misaligned color image to generate photorealistic color images using a single camera equipped with MCA.
AB - A multiple color-filter aperture (MCA) camera can provide depth information as well as color and intensity in the single-camera framework, where the MCA generates misalignment between color channels depending on the distance of a region-of-interest. In this paper, we present a single camera-based estimation of the full depth map using the color shifting property of the MCA. For estimating the color shifting vectors (CSVs) among red, green, and blue color channels, edges are extracted at each color channel. At the edge, we estimate CSVs using normalized cross correlation combined with color shifting mask map. A full depth map is then generated by depth interpolation using the matting Laplacian method from sparsely estimated CSVs at an edge location. Experimental results show that the proposed method can not only estimate the full depth map but also correct the misaligned color image to generate photorealistic color images using a single camera equipped with MCA.
KW - 3D image acquisition
KW - Depth estimation
KW - computational camera
KW - depth interpolation
KW - normalized cross correlation
UR - http://www.scopus.com/inward/record.url?scp=84867596617&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84867596617&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2012.6288005
DO - 10.1109/ICASSP.2012.6288005
M3 - Conference contribution
AN - SCOPUS:84867596617
SN - 9781467300469
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 801
EP - 804
BT - 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings
T2 - 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012
Y2 - 25 March 2012 through 30 March 2012
ER -