StereoVision_1 - Nanyang Technological University

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Example Application of 3D Reconstruction Comparing Matrix movie’s super slow-motion technology and Kanade’s Virtualized Reality Matrix movie’s technology •Does not use stereo vision •Needs a lot of cameras •Trajectory of slow-mo sequence fixed School of Computer Engineering Nanyang Technological University SC437 Computer Vision and Image Processing Virtualized Reality •Based on 3D stereo vision • Needs fewer cameras •No constraint on trajectory TJ Cham 2002-03 / S2
Example Application of 3D Reconstruction Virtualized Reality (Kanade et al.) School of Computer Engineering Nanyang Technological University SC437 Computer Vision and Image Processing TJ Cham 2002-03 / S2
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School of Computer Engineering Nany
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Range Sensing Radars and Sonars Tim
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Representation of Raw Range Data Cl
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Fitting 3D Models to Range Data We
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Parallax Parallax refers to the obs
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Parallax from Z Translation Paralla
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No Parallax from Pure Rotation No p
Page 15 and 16:
Simple 2D Triangulation Assume 1D c
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Simple 2D Triangulation Depth from
Page 19 and 20: Relation of Baseline to Accuracy Le
Page 21 and 22: Recap on Parallax and 1D Triangulat
Page 23 and 24: Matching Image Points Appearance-ba
Page 25 and 26: Appearance-based Matching Assumptio
Page 27 and 28: Minimize Sum-of-Squares Difference
Page 29 and 30: Appearance Matching Example Point G
Page 31 and 32: Matching Accuracy Examples SSD Imag
Page 33 and 34: S( x 0 Quantifying Matching Localiz
Page 35 and 36: Cornerness Cornerness is defined as
Page 37 and 38: Recap on Appearance-Based Matching
Page 39 and 40: Feature-based Matching Want to matc
Page 41 and 42: Feature-based Matching Example Exam
Page 43 and 44: Feature Matching Heuristics Example
Page 45 and 46: Geometric Search Constraint A very
Page 47 and 48: Stereo Rig for Epipolar Geometry Sc
Page 49 and 50: Epipoles and Epipolar Lines Example
Page 51 and 52: Epipolar Geometry Derivation P l,
Page 53 and 54: Epipolar Geometry Derivation Subst
Page 55 and 56: Fundamental Matrix Equation Affin
Page 57 and 58: Using Epipolar Geometry If we know
Page 59 and 60: Estimating Fundamental Matrix The F
Page 61 and 62: Estimating Fundamental Matrix We ca
Page 63 and 64: 3D Reconstruction from Perspective
Page 65 and 66: 3D Reconstruction from Perspective
Page 67 and 68: 3D Reconstruction from Weak- Perspe
Page 69: Recap on 3D Reconstruction 3D recon
Page 73: Summary of 3D Stereo Vision Represe
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StereoVision_1 - Nanyang Technological University

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