@techreport{oai:ipsj.ixsq.nii.ac.jp:00184148,
 author = {Yuki, Shiba and Satoshi, Ono and Ryo, Furukawa and Shinsaku, Hiura and Hiroshi, Kawasaki and Yuki, Shiba and Satoshi, Ono and Ryo, Furukawa and Shinsaku, Hiura and Hiroshi, Kawasaki},
 issue = {33},
 month = {Nov},
 note = {Combination of a pattern projector and a camera is widely used for 3D measurement. From the pattern projection, various kinds of depth queues are extracted from the captured image such as disparities for active stereo, projector defocus for depth from defocus, or intensity variations for photometric stereo. To increase the depth queue information, while widening the working space and reducing the occlusions, increasing the number of projectors can be a promising solution. However, multiple projectors form a complicated light field where the captured image is difficult to process analytically. In this paper, we use the configuration of multiple projectors and a camera. To process the complicated light field, matching-based analysis is applied. In the preprocess of the 3D measurement, virtual sample images of planar board with various depths are generated with CG techniques. Then, their image features of small patches are extracted with PCA. In the 3D measurement step, the same image features of patches of the captured image are extracted and compared with the sample images. By utilizing the dimensional reduction of PCA and ANN search algorithm, the matching is processed effectively. Since our approach is sampling based, the proposed technique can handle arbitrary patterns for projection., Combination of a pattern projector and a camera is widely used for 3D measurement. From the pattern projection, various kinds of depth queues are extracted from the captured image such as disparities for active stereo, projector defocus for depth from defocus, or intensity variations for photometric stereo. To increase the depth queue information, while widening the working space and reducing the occlusions, increasing the number of projectors can be a promising solution. However, multiple projectors form a complicated light field where the captured image is difficult to process analytically. In this paper, we use the configuration of multiple projectors and a camera. To process the complicated light field, matching-based analysis is applied. In the preprocess of the 3D measurement, virtual sample images of planar board with various depths are generated with CG techniques. Then, their image features of small patches are extracted with PCA. In the 3D measurement step, the same image features of patches of the captured image are extracted and compared with the sample images. By utilizing the dimensional reduction of PCA and ANN search algorithm, the matching is processed effectively. Since our approach is sampling based, the proposed technique can handle arbitrary patterns for projection.},
 title = {Data-based 3D shape reconstruction using light field constructed by multiple projectors},
 year = {2017}
}