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--- Stereoscopic Vision and Range Finders

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Presentation on theme: "--- Stereoscopic Vision and Range Finders"— Presentation transcript:

1 --- Stereoscopic Vision and Range Finders
Chapter Three: 3-D Data Acquisition --- Stereoscopic Vision and Range Finders 2018/11/24 3DVIP-01

2 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

3 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

4 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

5 Chapter 3: Acquisition of 3-D Data
Visual System of Human Brain 2018/11/24 3DVIP-01

6 Chapter 3: Acquisition of 3-D Data
Stereograms: Random Dots 2018/11/24 3DVIP-01

7 Chapter 3: Acquisition of 3-D Data
Stereograms: Recovered Depth 2018/11/24 3DVIP-01

8 Stereoscopic Viewing Chapter 3: Acquisition of 3-D Data 2018/11/24
3DVIP-01

9 A Stereo Vision System Chapter 3: Acquisition of 3-D Data 2018/11/24
3DVIP-01

10 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

11 Object-centered system
Chapter 3: Acquisition of 3-D Data Definition of Coordinate Systems Object-centered system 2018/11/24 3DVIP-01

12 Definition of Coordinate Systems
Chapter 3: Acquisition of 3-D Data Definition of Coordinate Systems Camera head system 2018/11/24 3DVIP-01

13 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

14 Epipolar Constraints Chapter 3: Acquisition of 3-D Data 2018/11/24
3DVIP-01

15 A Depth Image from Stereo
Chapter 3: Acquisition of 3-D Data A Depth Image from Stereo 2018/11/24 3DVIP-01

16 Correspondence Problem
Chapter 3: Acquisition of 3-D Data Correspondence Problem 2018/11/24 3DVIP-01

17 Ambiguity in Correspondence
Chapter 3: Acquisition of 3-D Data Ambiguity in Correspondence 2018/11/24 3DVIP-01

18 Correlation-Based Correspondence
Chapter 3: Acquisition of 3-D Data Correlation-Based Correspondence 2018/11/24 3DVIP-01

19 Peak Detection sharp peak smooth peak
Chapter 3: Acquisition of 3-D Data Peak Detection sharp peak smooth peak 2018/11/24 3DVIP-01

20 Aperture Problem Chapter 3: Acquisition of 3-D Data 2018/11/24
3DVIP-01

21 Feature Matching by Relaxation
Chapter 3: Acquisition of 3-D Data Feature Matching by Relaxation 2018/11/24 3DVIP-01

22 A Range Finder System Chapter 3: Acquisition of 3-D Data 2018/11/24
3DVIP-01

23 Laser slit images Chapter 3: Acquisition of 3-D Data 2018/11/24
3DVIP-01

24 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

25 Geometrical relationship
Chapter 3: Acquisition of 3-D Data Laser Scanner Geometrical relationship 2018/11/24 3DVIP-01

26 Laser Scanner: Vivid 700 Chapter 3: Acquisition of 3-D Data 2018/11/24
3DVIP-01

27 Laser Scanner: Fast Scan
Chapter 3: Acquisition of 3-D Data Laser Scanner: Fast Scan 2018/11/24 3DVIP-01

28 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

29 Time-of-Flight Imaging Radar
Chapter 3: Acquisition of 3-D Data Time-of-Flight Imaging Radar 2018/11/24 3DVIP-01

30 A Video Clip from Cyra 2018/11/24 3DVIP-01


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