Assignment Topics
Assignment 1
Exploring difference between color spaces and color-based image segmentation. Experiments with edge detection.
Assignment 2
Exploring different feature spaces - using Fourier shape descriptors, experimenting with wavelet transform, template matching.
Assignment 3
Using and interpretation of ROC curves, experiments with PCA and ICA.
Assignment 4
Estimating and sampling from densities, learning video background models, building a simple object tracker.
Assignment 5
Using LDA for image analysis. Experiments with Support Vector Machines.
Assignment 6
Image segmentation with K-means, EM and hierarchical clustering algorithms.
Assignment 7
Image morphing.
Oral Presentation Paper Topic Examples
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Image segmentation
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Shape matching
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Comparison of low-level features for object recognition
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Face detection
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Tracking
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Motion analysis
Final Project Examples
Final projects included implementation and experiments with existing pattern recognition as applied to computer vision problems. Examples of past successful projects:
- Efficient tracking algorithm learning object appearance
- System that tracks fast moving baseball in video
- Soda can recognition on an iPaq
- Experiments with multi-class boosting cascade
- Video camera-based mouse device
