CS 4330: Computer Vision

Syllabus

• introduction
  • what is CV?
  • a brief history
• optics
  • image geometry
  • camera models, projections
  • stereo
  • color
• imaging systems and hardware
• image properties
  • moments
  • histograms
• still image features
  • linear filters, convolution
  • edges, curves, shapes, lines, angle detection
  • regions
  • segmentation
  • texture
  • pyramids
• image sequences, video
  • optical flow
  • Kalman filter
  • particle filters
  • structure from motion
  • calibration, fundamental matrix
• classification and learning
  • k-means
  • neural nets
  • SVM
  • PCA (Eigenfaces, ASM, AAM)
  • belief propagation
  • image databases

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