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00:00:00
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Lecture 21: Structure-from-Motion |
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00:01:29
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Announcements |
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00:08:36
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Announcements (2) |
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00:11:39
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Course Outline |
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00:12:01
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Recap: Estimating Optical Flow |
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00:12:50
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Recap: Lucas-Kanade Optical Flow |
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00:14:31
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Recap: Iterative Refinement |
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00:15:27
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Recap: Coarse-to-fine Estimation |
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00:17:13
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Topics of This Lecture |
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00:18:37
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Structure from Motion |
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00:19:45
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What Can We Use This For? |
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00:21:53
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Structure from Motion Ambiguity |
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00:25:03
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Reconstruction Ambiguity: Similarity |
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00:26:07
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Reconstruction Ambiguity: Affine |
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00:26:42
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Reconstruction Ambiguity: Projective |
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00:27:13
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Projective Ambiguity |
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00:27:52
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From Projective to Affine |
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00:28:31
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From Affine to Similarity |
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00:29:28
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Hierarchy of 3D Transformations |
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00:32:01
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Topics of This Lecture |
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00:33:54
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Structure from Motion |
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00:35:19
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Orthographic Projection |
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00:36:39
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Affine Cameras |
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00:39:23
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Affine Structure from Motion |
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00:51:07
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Factorizing the Measurement Matrix |
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00:54:32
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Affine Ambiguity |
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00:56:09
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Estimating the Euclidean Upgrade |
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01:01:41
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Algorithm Summary |
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01:02:14
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Reconstruction Results |
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01:03:04
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Dealing with Missing Data |
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01:07:05
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Comments: Affine SfM |
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01:08:47
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Topics of This Lecture |
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01:08:51
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Projective Structure from Motion |
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01:11:02
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Projective SfM: Two-Camera Case |
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01:19:23
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Projective Factorization |
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01:20:54
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Sequential Structure from Motion |
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01:22:51
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Bundle Adjustment |
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01:25:23
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Projective Ambiguity |
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01:26:14
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Self-Calibration |
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01:27:07
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Practical Considerations (1) |
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01:27:49
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Practical Considerations (2) |
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01:28:50
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General Guidelines |
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01:29:30
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Commercial Software Packages |
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01:29:42
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Applications: Matchmoving |
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01:30:01
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Applications: Large-Scale SfM from Flickr |
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01:30:33
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References and Further Reading |