Ranked #1
Edge and Corner Detection
Edge and Corner Detection
Lecture 03: The lecture covers edge and corner detection using the Canny and Harris corner detector methods.
1 Oct 2010
•
53mins
Ranked #2
Bottom-Up Image Segmentation
Bottom-Up Image Segmentation
Lecture 07: One method for grouping pixels in an image is presented. Carmichael discusses pairwise coherence, cluster m... Read more
11 Oct 2010
•
41mins
Ranked #3
Object Detection
Object Detection
Lecture 05: Carmichael discusses finding certain rectangular objects within an image, and explains various methods for d... Read more
6 Oct 2010
•
52mins
Ranked #4
Mesh Alignment I
Mesh Alignment I
Lecture 14: In the first of two lectures, Carmichale discusses rigid alignment of meshes as well as the metrics and tran... Read more
25 Oct 2010
•
51mins
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Ranked #5
Object Detection Continued
Object Detection Continued
Lecture 06: Carmichael explains how to go about detecting certain objects within an image if those objects cannot be out... Read more
8 Oct 2010
•
51mins
Ranked #6
Mesh Alignment II
Mesh Alignment II
Lecture 15: In the second lecture on mesh alignment, Carmichale explains nonrigid alignment and how to accomplish this p... Read more
27 Oct 2010
•
51mins
Ranked #7
Mesh Smoothing
Mesh Smoothing
Lecture 13: The instructor discusses using mesh smoothing to remove noise from three-dimensional data. Also includes Ga... Read more
22 Oct 2010
•
50mins
Ranked #8
3D Image Acquisition
3D Image Acquisition
Lecture 12: Carmichael explains how to obtain an image with three dimensions. The unit covers two principles for doing ... Read more
20 Oct 2010
•
53mins
Ranked #9
Neighborhoods
Neighborhoods
Lecture 10: The instructor explains using neighborhood operations to access different pixels. Also covers implementatio... Read more
15 Oct 2010
•
33mins
Ranked #10
Texture Analysis
Texture Analysis
Lecture 09: Carmichael explains why it is useful to study the textures of an image and methods for detecting them in ima... Read more
15 Oct 2010
•
56mins
