|
00:00:00
|
Lecture 5: Structure Extraction |
|
00:00:08
|
Course Outline |
|
00:01:18
|
Topics of This Lecture |
|
00:02:33
|
Recap: The Gaussian Pyramid |
|
00:03:31
|
Recap: Derivatives and Edges... |
|
00:04:15
|
Recap: 2D Edge Detection Filters |
|
00:04:47
|
Designing an Edge Detector |
|
00:06:59
|
Gradients ? Edges |
|
00:08:42
|
Scale: Effect of ? on Derivatives |
|
00:10:04
|
Sensitivity: Recall Thresholding |
|
00:12:57
|
Canny Edge Detector |
|
00:15:32
|
Canny Edge Detector: steps |
|
00:18:24
|
The Canny Edge Detector: Lena |
|
00:18:39
|
The Canny Edge Detector: Gradient magnitude |
|
00:19:10
|
The Canny Edge Detector: Thresholding |
|
00:20:25
|
Non-Maximum Suppression |
|
00:23:37
|
The Canny Edge Detector: Thinning |
|
00:24:43
|
Solution: Hysteresis Thresholding |
|
00:27:03
|
Hysteresis Thresholding |
|
00:28:22
|
Edges vs. Boundaries |
|
00:32:21
|
Object Boundaries vs. Edges |
|
00:34:11
|
Edge Detection is Just the Beginning... |
|
00:38:08
|
Fitting |
|
00:39:22
|
Topics of This Lecture |
|
00:39:40
|
Fitting as Template Matching |
|
00:40:54
|
Edge Templates: Correlation filtering |
|
00:44:03
|
Edge Templates: Chamfer Distance |
|
00:45:23
|
How Can This Be Made Efficient? |
|
00:46:38
|
Distance Transform |
|
00:47:43
|
Distance Transform Algorithm (1D) |
|
00:51:45
|
Distance Transform Algorithm (2D) |
|
00:53:09
|
Chamfer matching |
|
00:53:59
|
Chamfer Matching: Efficient implementation |
|
00:55:47
|
Chamfer Matching Results |
|
00:56:06
|
Chamfer Matching for Pedestrian Detection |
|
01:02:06
|
Summary Chamfer Matching |
|
01:03:49
|
Topics of This Lecture |
|
01:04:28
|
Fitting as Search in Parametric Space |
|
01:08:27
|
Example: Line Fitting |
|
01:09:54
|
Difficulty of Line Fitting |
|
01:11:12
|
Voting |
|
01:12:54
|
Fitting Lines |
|
01:13:47
|
Finding Lines in an Image: Hough Space |
|
01:15:12
|
What does a point in the image space map to? |
|
01:17:13
|
Hough Space: intersection |
|
01:18:42
|
Hough Space: most prominent line, accumulator array |
|
01:20:26
|
Polar Representation for Lines |
|
01:22:01
|
Hough Transform Algorithm |
|
01:30:39
|
Example: HT for Straight Lines |
|
01:30:52
|
Real-World Examples |
|
01:31:32
|
Impact of Noise on Hough Transform |
|
01:32:58
|
Extensions |
|
01:34:16
|
References and Further Reading |