00:00:00
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Lecture 22: Repetition
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00:00:19
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Announcements
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00:03:04
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Announcements (2)
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00:03:25
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Announcements (3)
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00:05:28
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Image Formation
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00:08:49
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Binary Image Processing
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00:10:22
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Binary Processing Pipeline
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00:11:02
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Linear Filters
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00:12:26
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Edge & Structure Extraction
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00:16:34
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Segmentation and Grouping
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00:19:44
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Segmentation as Energy Minimization
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00:25:47
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Object Recognition: Global Representations
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00:28:56
|
First Applications Take Up Shape...
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00:30:42
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Object Recognition: Subspace Representations
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00:36:22
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Local Features - Detection and Description
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00:48:10
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Local Feature Matching Pipeline
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00:49:10
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Recognition with Local Features
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00:51:57
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Application: Panorama Stitching
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00:52:37
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Object Categorization: Sliding Window based Object Detection
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00:54:45
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Application: Viola-Jones Face Detector
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00:55:26
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Object Categorization: Part-based Approaches
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00:57:05
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Epipolar Geometry and Stereo Basics
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00:58:17
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Camera Calibration & Uncalibrated Reconstruction
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01:01:21
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Applications: 3D Reconstruction
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01:01:57
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Structure-from-Motion
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01:04:14
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Motion and Optical Flow
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01:06:32
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So what can you do with all of this?
|
01:06:46
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Robust Object Detection & Tracking
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01:07:28
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Articulated Multi-Person Tracking
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01:07:53
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Semantic 2D-3D Scene Segmentation
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01:08:32
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Integrated 3D Point Cloud Labels
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01:08:43
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Mining the World's Images...
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01:09:33
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Automatic Landmark Building Discovery
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01:09:56
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Efficient Large-Scale Localization
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01:11:07
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Any More Questions?
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