lecture 1 overview and introduction
DESCRIPTION
Lecture 1 Overview and Introduction. Reconstruction from images – The Fundamental Problem. Input: Corresponding “features” in multiple perspective images. Output: Camera pose, calibration, scene structure representation. APPLICATIONS – Autonomous Highway Vehicles. - PowerPoint PPT PresentationTRANSCRIPT
![Page 1: Lecture 1 Overview and Introduction](https://reader035.vdocument.in/reader035/viewer/2022062407/56812bd6550346895d90413b/html5/thumbnails/1.jpg)
MASKS © 2004 Invitation to 3D vision
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MASKS © 2004 Invitation to 3D vision
Lecture 1 Lecture 1 Overview and IntroductionOverview and Introduction
![Page 3: Lecture 1 Overview and Introduction](https://reader035.vdocument.in/reader035/viewer/2022062407/56812bd6550346895d90413b/html5/thumbnails/3.jpg)
MASKS © 2004 Invitation to 3D vision
Reconstruction from images – The Fundamental Problem
Input: Corresponding “features” in multiple perspective images.Output: Camera pose, calibration, scene structure representation.
![Page 4: Lecture 1 Overview and Introduction](https://reader035.vdocument.in/reader035/viewer/2022062407/56812bd6550346895d90413b/html5/thumbnails/4.jpg)
MASKS © 2004 Invitation to 3D vision
APPLICATIONS – Autonomous Highway Vehicles
Image courtesy of California PATH
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MASKS © 2004 Invitation to 3D vision
APPLICATIONS – Unmanned Aerial Vehicles (UAVs)
Courtesy of Berkeley Robotics Lab
Rate: 10Hz; Accuracy: 5cm, 4o
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MASKS © 2004 Invitation to 3D vision
APPLICATIONS – Real-Time Virtual Object Insertion
UCLA Vision Lab
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MASKS © 2004 Invitation to 3D vision
APPLICATIONS – Real-Time Sports Coverage
Princeton Video Image, Inc.
First-down line and virtual advertising
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MASKS © 2004 Invitation to 3D vision
APPLICATIONS – Image Based Modeling and Rendering
Image courtesy of Paul Debevec
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MASKS © 2004 Invitation to 3D vision
APPLICATIONS – Image Alignment, Mosaicing, and Morphing
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MASKS © 2004 Invitation to 3D vision
GENERAL STEPS – Feature Selection and Correspondence
1. Small baselines versus large baselines2. Point features versus line features
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MASKS © 2004 Invitation to 3D vision
GENERAL STEPS – Structure and Motion Recovery
1. Two views versus multiple views2. Discrete versus continuous motion3. General versus planar scene4. Calibrated versus uncalibrated camera5. One motion versus multiple motions
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MASKS © 2004 Invitation to 3D vision
GENERAL STEPS – Image Stratification and Dense Matching
Left
Right
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MASKS © 2004 Invitation to 3D vision
GENERAL STEPS – 3-D Surface Model and Rendering
1. Point clouds versus surfaces (level sets)2. Random shapes versus regular structures