Indexing with Local Features, Inverted file index, Visual vocabularies
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00:00:00
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Lecture 14: Recognition with Local Features |
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00:00:34
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A Script... |
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00:01:44
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Course Outline |
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00:02:47
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Recap: Local Feature Matching Outline |
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00:04:17
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Recap: Automatic Scale Selection |
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00:05:52
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Recap: Laplacian-of-Gaussian (LoG) |
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00:08:10
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Recap: LoG Detector Responses |
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00:08:41
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Recap: Key point localization with DoG |
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00:09:49
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Recap: Harris-Laplace [Mikolajczyk '01] |
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00:10:42
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Topics of This Lecture |
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00:11:58
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Local Descriptors |
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00:14:07
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Feature Descriptors |
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00:16:09
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Feature Descriptors: SIFT |
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00:18:55
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Overview: SIFT |
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00:21:12
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Working with SIFT Descriptors |
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00:22:49
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Local Descriptors: SURF |
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00:29:39
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You Can Try It At Home... |
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00:31:15
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Topics of This Lecture |
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00:31:23
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Applications of Local Invariant Features |
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00:31:56
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Wide-Baseline Stereo |
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00:33:11
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Automatic Mosaicing |
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00:33:28
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Panorama Stitching |
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00:33:52
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Recognition of Specific Objects, Scenes |
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00:34:18
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Recognition of Categories |
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00:34:31
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Value of Local Features |
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00:36:41
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Topics of This Lecture |
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00:36:45
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Recognition with Local Features |
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00:38:44
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Concepts: Warping vs. Alignment |
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00:41:31
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Parametric (Global) Warping |
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00:43:44
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What Can be Represented by a 2×2 Matrix? |
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00:47:38
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2D Linear Transforms |
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00:48:17
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Homogeneous Coordinates |
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00:49:14
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Basic 2D Transformations |
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00:51:36
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2D Affine Transformations |
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00:52:20
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Projective Transformations |
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00:55:52
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Alignment Problem |
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01:01:03
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Let's Start with Affine Transformations |
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01:01:48
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Fitting an Affine Transformation |
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01:03:44
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Recall: Least Squares Estimation |
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01:09:04
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Fitting an Affine Transformation |
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01:11:43
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Homography |
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01:15:03
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Fitting a Homography |
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01:24:41
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Image Warping with Homographies |
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01:26:27
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Uses: Analyzing Patterns and Shapes |
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01:26:32
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References and Further Reading |