03: Automotive Vision / Fahrzeugsehen, Vorlesung, SS 2019, 13.05.2019
Author
Participating institute
Fakultät für Maschinenbau (MACH)
Institut für Mess- und Regelungstechnik mit Maschinenlaboratorium (MRT)
Genre
Description
- 0:00:00 Start
- 0:00:05 Fundamental Matrix
- 0:02:52 Epipolar Geometry
- 0:08:29 Disparity
- 0:11:11 Derivation
- 0:19:54 Rectification
- 0:30:08 Accuracy of Depth Estimates
- 0:37:25 Correspondence Problem
- 0:45:21 Block Matching
- 1:02:40 Summary
- 1:04:05 Chapter 3: Feature Point Methods
- 1:06:08 Feature Point Methods
- 1:11:51 Illumination Invariance
- 1:13:53 Illumination Invariance with SIFT
- 1:16:20 Scale Invariance
Duration (hh:mm:ss)
01:29:29
Series
Automotive Vision / Fahrzeugsehen, Vorlesung, SS 2019
Published on
14.05.2019
Subject area
Measurement and control engineering
License
| Resolution | 1280 x 720 Pixel |
| Aspect ratio | 16:9 |
| Audio bitrate | 128000 bps |
| Audio channels | 2 |
| Audio Codec | aac |
| Audio Sample Rate | 48000 Hz |
| Total Bitrate | 543175 bps |
| Color Space | yuv420p |
| Container | mov,mp4,m4a,3gp,3g2,mj2 |
| Media Type | video/mp4 |
| Duration | 5369 s |
| Filename | DIVA-2019-341_hd.mp4 |
| File Size | 364.561.284 byte |
| Frame Rate | 25 |
| Video Bitrate | 409073 bps |
| Video Codec | h264 |
Media URL
Embed Code
Automotive Vision / Fahrzeugsehen, Vorlesung, SS 2019
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