20160612 関東cv勉強会 sumisumithパート

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5. 5.1 (EPI) 5.2 5.3 2016/06/12@sumisumith

Computer Vision and Image Media 5 Section 20

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Computational Photograpy

Computational photography extends digital photography by providing the capability to record much more information and by offering the possibility of processing this information afterward.--Oliver Bimber--

CG, CV,

Page 3IEEE Computer, Vol.39, Issue 8 (2006)



Computational Photography

Page 4Sheer K. Nayar (Columbia Univ.)

http://www1.cs.columbia.edu/CAVE/projects/what_is/


Computer Vision and Image Media 5 Section 2NayarComputational Photography, Computational Imaging/Camera, Computational Image SensorComputational Photography = Computational Imaging/Camera = Computational Image Sensor = 3

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Computational Camera

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Sheer K. Nayar (Columbia Univ.)http://www1.cs.columbia.edu/CAVE/projects/what_is/

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Computer Vision and Image Media 5 Section 2NayarComputational CameraComputational CameraProgrammable ImagingComputational CameraProgrammable Flash

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Efficient Fourier-Based Approach for Detecting Orientations and Occlusions in Epipolar Plane Images for 3D Scene Modeling, Z. Zhu, 2005


Computer Vision and Image Media 5 Section 2D

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Epipolar-Plane Image Analysis An Approach to Determining Structure from Motion, R.C.Bolles,1987



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Page 10The Lumigraph, S. J. Gortler, 1996



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Efficient Fourier-Based Approach for Detecting Orientations and Occlusions in Epipolar Plane Images for 3D Scene Modeling, Z. Zhu, 2005



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EPIEPIEfficient Fourier-Based Approach for Detecting Orientations and Occlusions in Epipolar Plane Images for 3D Scene Modeling, Z. Zhu, 2005


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12Efficient Fourier-Based Approach for Detecting Orientations and Occlusions in Epipolar Plane Images for 3D Scene Modeling, Z. Zhu, 2005()EPI



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@tomoaki_teshima

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()LytroLytro Cinema Life 2016/04 Page 25

http://japanese.engadget.com/2016/04/12/7-40k-lytro-cinema-3d/



()RaskerDPage 26

http://cameraculture.media.mit.edu/handheld-3d-imager-to-visualize-features-in-the-throat-like-tonsils/


Computer Vision and Image Media 5 Section 2()Sheer K. NayarColumbia Univ., Computer Science Dept.Computer Vision Laboratory (CAVE) Research Interests Ramesh RaskarMIT, Media LabMERL (Mitsubishi Electric Research Laboratories)Research InterestsComputational Light Transport HCI

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http://www.cs.columbia.edu/~nayar/http://web.media.mit.edu/~raskar/http://cameraculture.media.mit.edu/


Computer Vision and Image Media 5 Section 2()(Nayer)NayerTowards Flexible Sheet Cameras : Deformable Lens Arrays with Intrinsic Optical AdaptationPage 28


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https://www.cgarts.or.jp/report/rep_kr/rep0413-3.html


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()()Active oneshot scan for wide depth range using a light-field projector based on coded aperture, ICCV20153D

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Computer Vision and Image Media 5 Section 2()()Active oneshot scan for wide depth range using a light-field projector based on coded aperture, ICCV20153D

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Computer Vision and Image Media 5 Section 25. 5.1 (EPI)EPI5.2 5.3 EPI

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Computer Vision and Image Media 5 Section 2Page 34

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20160612 関東cv勉強会 sumisumithパート

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