RANSAC, Generalized Hough Transform, SIFT, Indexing with Local Features, Visual Vocabularies
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Lecture 15: Indexing and Visual Vocabularies |
00:00:49
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Course Outline |
00:02:00
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Recap: Local Feature Matching Outline |
00:03:34
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Recap: Recognition with Local Features |
00:04:59
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Recap: Fitting an Affine Transformation |
00:07:50
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Recap: Fitting a Homography |
00:15:24
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Recap: Object Recognition by Alignment |
00:19:57
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Topics of This Lecture |
00:20:36
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Example: Least-Squares Line Fitting |
00:21:22
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Outliers Affect Least-Squares Fit |
00:22:31
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Strategy 1: RANSAC [Fischler81] |
00:24:56
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RANSAC Loop |
00:26:05
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RANSAC Line Fitting Example |
00:30:11
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RANSAC: How many samples? |
00:34:08
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RANSAC: Computed k (p=0.99) |
00:38:35
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After RANSAC |
00:39:55
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Example: Finding Feature Matches |
00:42:02
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Problem with RANSAC |
00:43:18
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Strategy 2: Generalized Hough Transform |
00:47:25
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Pose Clustering and Verification with SIFT |
00:49:19
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Object Recognition Results |
00:51:17
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Location Recognition |
00:52:48
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Topics of This Lecture |
00:53:53
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Application: Mobile Visual Search |
00:55:42
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Large-Scale Image Matching Problem |
00:56:08
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Indexing Local Features |
00:59:39
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Indexing Local Features |
01:01:26
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Indexing Local Features: Inverted File Index |
01:02:44
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Text Retrieval vs. Image Search |
01:05:21
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Visual Words: Main Idea |
01:07:55
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Indexing with Visual Words |
01:08:48
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Visual Words |
01:12:24
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Inverted File for Images of Visual Words |
01:15:08
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Example: Recognition with Vocabulary Tree |
01:16:09
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Vocabulary Tree |
01:16:25
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Vocabulary Tree: Training |
01:17:32
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Vocabulary Tree: Recognition |
01:19:05
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Vocabulary Tree: Performance |
01:20:29
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Vocabulary Size |
01:22:02
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References and Further Reading |