Computer Vision: Uncalibrated Reconstruction (Di, 20.01.2015)

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Kapitel:

00:00:00
Lecture 19: Uncalibrated Reconstruction
00:00:30
Course Outline
00:01:22
Recap: A General Point
00:02:16
Recap: Camera Parameters
00:05:32
Recap: Calibrating a Camera
00:06:11
Recap: Camera Calibration (DLT Algorithm)
00:07:29
Recap: Triangulation - Linear Algebraic Approach
00:10:00
Topics of This Lecture
00:11:04
Revisiting Epipolar Geometry
00:12:49
Epipolar Geometry: Calibrated Case
00:20:58
Epipolar Geometry: Uncalibrated Case
00:27:32
Estimating the Fundamental Matrix
00:28:23
The Eight-Point Algorithm
00:32:15
Excursion: Properties of SVD
00:35:11
The Eight-Point Algorithm
00:39:27
Problem with the Eight-Point Algorithm
00:41:31
The Normalized Eight-Point Algorithm
00:45:01
The Eight-Point Algorithm
00:48:49
Comparison of Estimation Algorithms
00:52:47
3D Reconstruction with Weak Calibration
00:54:34
Stereo Pipeline with Weak Calibration
00:56:59
Putative Matches based on Correlation Search
00:57:59
RANSAC for Robust Estimation of F
00:59:29
Pruned Matches
00:59:51
Resulting Epipolar Geometry
01:00:39
Epipolar Transfer
01:02:17
Extension: Epipolar Transfer
01:04:54
Topics of This Lecture
01:06:05
Active Stereo
01:06:30
Microsoft Kinect - How Does It Work?
01:08:55
Recall: Optical Triangulation
01:10:16
Active Stereo with Structured Light
01:11:22
What the Kinect Sees...
01:13:16
3D Reconstruction with the Kinect
01:17:40
Active Stereo with Structured Light
01:18:22
Laser Scanning
01:19:37
Laser Scanned Models
01:21:28
Multi-Stripe Triangulation
01:23:04
Time-Coded Light Patterns
01:23:53
Better codes...
01:24:23
Phase-Shift Structured Light Scanning
01:25:46
A High-Speed 3D Scanner
01:26:49
Problems with Dynamically Moving Objects
01:26:53
Effect of Motion Compensation
01:27:23
Application: Online Model Reconstruction
01:28:01
Poor Man's Scanner
01:29:15
Slightly More Elaborate (But Still Cheap)
01:30:31
References and Further Reading