TY - GEN
T1 - Space-sampling method for 3D cinemas
AU - Senoh, Takanori
AU - Aoki, Terumasa
AU - Yasuda, Hiroshi
AU - Kogure, Takuyo
PY - 2006/12/21
Y1 - 2006/12/21
N2 - A new approach to 3D Cinematography based on Space-Sampling method is presented. This method treats a projected 3D image space instead of a linear 3D space. It well matches with the visual perception and nicely reduces the data size needed for 3D scenes. It also matches with the 3D camera-shooting and the 3D displays requiring no eyewear. Space-Sampling method captures 3D natural scenes through a lens with transparent image-sensor layers. Hence, the 3D image space is directly sampled at a video-rate with single camera. Captured images are rendered on a transparent multi-layer display. Thus, a truly volumetric image is observed without eyeglasses. Combination rendering of these natural scenes with 3D computer-graphic (CG) objects creates a realistic Synthesized & Natural Hybrid scene at a reasonable cost. Depth from Focus technology and Depth-Fuse anti-aliasing technology were used to eliminate the blurred objects and to enhance the depth resolution, respectively.
AB - A new approach to 3D Cinematography based on Space-Sampling method is presented. This method treats a projected 3D image space instead of a linear 3D space. It well matches with the visual perception and nicely reduces the data size needed for 3D scenes. It also matches with the 3D camera-shooting and the 3D displays requiring no eyewear. Space-Sampling method captures 3D natural scenes through a lens with transparent image-sensor layers. Hence, the 3D image space is directly sampled at a video-rate with single camera. Captured images are rendered on a transparent multi-layer display. Thus, a truly volumetric image is observed without eyeglasses. Combination rendering of these natural scenes with 3D computer-graphic (CG) objects creates a realistic Synthesized & Natural Hybrid scene at a reasonable cost. Depth from Focus technology and Depth-Fuse anti-aliasing technology were used to eliminate the blurred objects and to enhance the depth resolution, respectively.
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U2 - 10.1109/CVPRW.2006.195
DO - 10.1109/CVPRW.2006.195
M3 - Conference contribution
AN - SCOPUS:33845521847
SN - 0769526462
SN - 9780769526461
T3 - Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
BT - 2006 Conference on Computer Vision and Pattern Recognition Workshop
T2 - 2006 Conference on Computer Vision and Pattern Recognition Workshops
Y2 - 17 June 2006 through 22 June 2006
ER -