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--- Stereoscopic Vision and Range Finders
Chapter Three: 3-D Data Acquisition --- Stereoscopic Vision and Range Finders 2018/11/24 3DVIP-01
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Representation of 3D data
Chapter 3: Acquisition of 3-D Data Representation of 3D data range images image format shaded image 2018/11/24 3DVIP-01
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Chapter 3: Acquisition of 3-D Data
Non-Touching Methods Passive methods: shading and texture analysis stereo cameras motion analysis lens focusing Active methods: photometric stereo structured lights radar sensing 2018/11/24 3DVIP-01
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Principle of stereo vision Methods of correspondence searching
Chapter 3: Acquisition of 3-D Data Main Topics Principle of stereo vision Methods of correspondence searching Range finders based on laser scanning 2018/11/24 3DVIP-01
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Chapter 3: Acquisition of 3-D Data
Visual System of Human Brain 2018/11/24 3DVIP-01
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Chapter 3: Acquisition of 3-D Data
Stereograms: Random Dots 2018/11/24 3DVIP-01
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Chapter 3: Acquisition of 3-D Data
Stereograms: Recovered Depth 2018/11/24 3DVIP-01
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Stereoscopic Viewing Chapter 3: Acquisition of 3-D Data 2018/11/24
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A Stereo Vision System Chapter 3: Acquisition of 3-D Data 2018/11/24
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Problem Statements Compute 3-D coordinates for a point
Chapter 3: Acquisition of 3-D Data Problem Statements Compute 3-D coordinates for a point in space from its image coordinates in two images taken with a stereo vision system. 2018/11/24 3DVIP-01
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Object-centered system
Chapter 3: Acquisition of 3-D Data Definition of Coordinate Systems Object-centered system 2018/11/24 3DVIP-01
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Definition of Coordinate Systems
Chapter 3: Acquisition of 3-D Data Definition of Coordinate Systems Camera head system 2018/11/24 3DVIP-01
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triangulation principle
Chapter 3: Acquisition of 3-D Data Definition of Coordinate Systems r W V U R Computation based on triangulation principle 2018/11/24 3DVIP-01
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Epipolar Constraints Chapter 3: Acquisition of 3-D Data 2018/11/24
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A Depth Image from Stereo
Chapter 3: Acquisition of 3-D Data A Depth Image from Stereo 2018/11/24 3DVIP-01
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Correspondence Problem
Chapter 3: Acquisition of 3-D Data Correspondence Problem 2018/11/24 3DVIP-01
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Ambiguity in Correspondence
Chapter 3: Acquisition of 3-D Data Ambiguity in Correspondence 2018/11/24 3DVIP-01
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Correlation-Based Correspondence
Chapter 3: Acquisition of 3-D Data Correlation-Based Correspondence 2018/11/24 3DVIP-01
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Peak Detection sharp peak smooth peak
Chapter 3: Acquisition of 3-D Data Peak Detection sharp peak smooth peak 2018/11/24 3DVIP-01
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Aperture Problem Chapter 3: Acquisition of 3-D Data 2018/11/24
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Feature Matching by Relaxation
Chapter 3: Acquisition of 3-D Data Feature Matching by Relaxation 2018/11/24 3DVIP-01
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A Range Finder System Chapter 3: Acquisition of 3-D Data 2018/11/24
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Laser slit images Chapter 3: Acquisition of 3-D Data 2018/11/24
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A laser slit and a camera
Chapter 3: Acquisition of 3-D Data Laser Scanner A laser slit and a camera 2018/11/24 3DVIP-01
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Geometrical relationship
Chapter 3: Acquisition of 3-D Data Laser Scanner Geometrical relationship 2018/11/24 3DVIP-01
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Laser Scanner: Vivid 700 Chapter 3: Acquisition of 3-D Data 2018/11/24
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Laser Scanner: Fast Scan
Chapter 3: Acquisition of 3-D Data Laser Scanner: Fast Scan 2018/11/24 3DVIP-01
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Chapter 3: Acquisition of 3-D Data
Laser Scanner: Cyrax 2500 A portable laser scanner produced origianlly by Cyra, Canada, and now by Leica, Switzerland 2018/11/24 3DVIP-01
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Time-of-Flight Imaging Radar
Chapter 3: Acquisition of 3-D Data Time-of-Flight Imaging Radar 2018/11/24 3DVIP-01
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A Video Clip from Cyra 2018/11/24 3DVIP-01
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