s tereoscopic 3d
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S tereoscopic 3D. 2013/10/30. Stereoscopic Image Transforms to Autostereoscopic Multiplexed Image. Wei-Ming Chen, Chi- Hao Chiou and Sheng- Hao Jhang. Computer Science and Automation Engineering (CSAE), 2011. Outline. Introduction Related Work Proposed Method Experimental Results - PowerPoint PPT PresentationTRANSCRIPT
Stereoscopic 3D
Stereoscopic 3D2013/10/30Stereoscopic Image Transforms to Autostereoscopic Multiplexed ImageWei-Ming Chen, Chi-Hao Chiou and Sheng-Hao Jhang
Computer Science and Automation Engineering (CSAE), 2011OutlineIntroduction Related WorkProposed MethodExperimental ResultsConclusion3Introduction44Introduction3D technologies have become popular in recent years.Widely applied to movie, films and show.In early 3D vision technology:Anaglyph PolarizationShutter
5With special glasses
Anaglyph
Polarization LCD TV(Micro-retarder)
Shutter - 120Hz3D3D5Anaglyph Glass
Polarization Glass
Polarization GlassShutter Glass
IntroductionAutostereoscopic 3D displayNon-glass system
Propose a new technique for generating Autostereoscopic multiplexed content.
9Objective:Related Work1010DisparityVertical ParallaxUsually = 0focus on horizontal parallax
Horizontal ParallaxIdentify the distance of the object
Disparity
retina12Image RectificationZero Parallax
Zero parallax plane
Image RectificationSimplified to one dimension - horizontal
Solution : All epipolar lines are parallel in the rectified image plane.
Image Rectification
3D coordinate of real scene:Disparity to Depth
f : focal lengthb : the length of baselined : disparity(u0, v0) : coordinate of image center(camera intrinsic parameter matrix K)(u, v) : pixel coordinate
Du Xin, Zhu Yun-fimg, "A Flexible Method for 3D Reconstruction of Urban Building", ICSP 2008 proceedings.
BaselineEpipolar line3D ReconstructionWei-wei Ma, My-Ha Le, Kang-Hyun Jo, "3D Reconstruction and Measurement of Indoor Object Using Stereo Camera", The 6th International Forum on Strategic Technology, 2011.
Autostereoscopic 3D displayTime-multiplexedSwitch rapidly (left and right images)2D & 3D : same resolutionSpatial-multiplexedParallax barrierLenticular lensesLower resolution for 3D
18(Parallax barrier)(Lenticular lenses)18Autostereoscopic 3D displayParallax barrier
19Lenticular lenses
(Parallax barrier)(Lenticular lenses)19ProposedMethod2020System Flow of Depth-map Generation 21
Stereo matching21
Depth-map Generation1) Feature point detectionUse SURF algorithm[5] (based on SIFT)2) Epipolar GeometryMatching the feature points3) InterpolationEstimate the pixels which is not feature points4) GraphcutGrouping the close pixels (segmentation)
22Disparity between stereo images[5] H. Bay, A. Ess, T. Tuytelaars, and L. Van Gool, "Speeded-Up Robust Features (SURF)," Computer Vision and Image Understanding, vol. 110, pp. 346-359, 2008.22System Flow of Synthesis 23
23Zero-parallax settingThe most comfortably distance between user and display could be determined from Zc .
Zc (Base plane)
24
Zfar : the highest depth map valueZnear : the lowest depth map value 24Pre-processing the Depth MapMean filterGaussian filter
25253D-image WarpingMulti-ViewNeed large storage space use depth map to create virtual views
Warping Reference view Virtual view
26
warp2D 0 s 263D-image WarpingMulti-ViewNeed large storage space use depth map to create virtual views
27
Warping2D 0 s 273D-image WarpingLenticular autostereoscopic displayDIBR
28
2D 0 s 28Issues[*]: Disparity RangeLimitations of perception and technologyDisparity SensitivityMore sensitive to nearby objectsDisparity GradientDisparity VelocityTemporal information
3D-image Warping29[*] :Lang, M., Hornung, A., Wang, O., Poulakos, S., Smolic, A. & Gross, M. (2010, July).Nonlinear Disparity Mapping for Stereoscopic 3D.To appear inACM Transactions on Graphics (Proc. SIGGRAPH). 2D 0 s 29Disoccluded Regions-fillingDisoccluded Regions : regions without warped pixel
30warpReference viewVirtual view30Disoccluded Regions-fillingAssociated with DIBR:
31
Similar to occlusion handling31Disoccluded Regions-filling32
32ExperimentalResults3333Experimental ResultsDisoccluded Regions-filling:
34
Previous WorkProposedExperimental Results35The six warping views
Experimental Results36
Synthesized resultConclusion3737Conclusion3D-image generation of stereo images with good 3D effect was proposed.Future : using temporal information
Stereo images Disparity map 3D warping Hole fillingIssues:Zero-parallax setting Disparity Range / Disparity Velocity Hole filling
38ReferenceOptical Design, Fabrication, and Measurement 3D Introduction and Project (Dept. of Photonics & Display Institute,National Chiao Tung University)
Image Rectification (Stereo) , Guido Gerig
AGENCY1903 BLOG http://www.agency1903.com/blog/2010/8/18/z-axis-power
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