Courses:

Pattern Recognition for Machine Vision >> Content Detail



Assignments



Assignments



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


  • Image segmentation
  • Shape matching
  • Comparison of low-level features for object recognition
  • Face detection
  • Tracking
  • 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

 








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