TY - GEN
T1 - Optimized aperture for estimating depth from projector's defocus
AU - Kawasaki, Hiroshi
AU - Horita, Yuki
AU - Masuyama, Hitoshi
AU - Ono, Satoshi
AU - Kimura, Makoto
AU - Takane, Yasuo
PY - 2013
Y1 - 2013
N2 - This paper proposes a method for designing a coded aperture, which is installed in a projector for active depth measurement. The aperture design is achieved by genetic algorithm. In this paper, a system for depth measurement using projector and camera system is introduced. The system involves a prototype projector with a coded aperture which is used to reconstruct a shape using Depth from Defocus (DfD) technique. Then, we propose a method to create a coded aperture to achieve the best performance on depth measurement. We also propose an efficient calibration technique on defocus parameters and a cost function for DfD to improve the accuracy and the robustness. Experimental results show that the proposed method can create an aperture pattern using simulation considering noise for fitness calculation. Evaluations are conducted to confirm that the proposed pattern is better than other patterns with our depth measurement algorithm.
AB - This paper proposes a method for designing a coded aperture, which is installed in a projector for active depth measurement. The aperture design is achieved by genetic algorithm. In this paper, a system for depth measurement using projector and camera system is introduced. The system involves a prototype projector with a coded aperture which is used to reconstruct a shape using Depth from Defocus (DfD) technique. Then, we propose a method to create a coded aperture to achieve the best performance on depth measurement. We also propose an efficient calibration technique on defocus parameters and a cost function for DfD to improve the accuracy and the robustness. Experimental results show that the proposed method can create an aperture pattern using simulation considering noise for fitness calculation. Evaluations are conducted to confirm that the proposed pattern is better than other patterns with our depth measurement algorithm.
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U2 - 10.1109/3DV.2013.26
DO - 10.1109/3DV.2013.26
M3 - Conference contribution
AN - SCOPUS:84886066810
SN - 9780769550671
T3 - Proceedings - 2013 International Conference on 3D Vision, 3DV 2013
SP - 135
EP - 142
BT - Proceedings - 2013 International Conference on 3D Vision, 3DV 2013
T2 - 2013 International Conference on 3D Vision, 3DV 2013
Y2 - 29 June 2013 through 1 July 2013
ER -