Computer Vision
Lectures:
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Course Outline
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25-09-17 Lecture-1: Introduction PDF
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02-10-17 Lecture-2: Image Formation PDF
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12-10-17 Lecture-3: Geometric Camera Model PDF
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20-10-17 Lecture-4: Filtering and Its Applications PDF
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28-10-17 Lecture-5: Clustering Based Image Segmentation PDF
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28-10-17 OHT-1: PDF
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18-11-17 Lecture-6: Background Subtraction & Graph Cut PDF
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18-11-17 Lecture-7: HyperSpectral Imaging PDF
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25-11-17 Viola Johns PDF
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25-11-17 MACH Filters PDF
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30-11-17 Snakes Algorithm PPT
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30-11-17 SIFT PPT
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30-11-17 Hausdroff based template Matching PDF
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09-12-17 Particle Filters for Tracking PPT
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09-12-17 Level Sets PPT
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28-12-17 GTDP and Kernel Regression PDF
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28-12-17 Convolutional Neural Networks PDF
Assignments & Home Tasks:
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15-11-17 Topics List: PDF
