Computer Vision

2d image → 3d

• Linear Algebra
• history of cv
  • todo
• pixels and filters
  • linear color spaces
  • image sampling and quantization
  • images as functions
  • filter (kernel)
• systems and convolutions
  • system (cv)***
    • linear shift invariant (LSI)
  • only need to pass impulse to system
• derivatives and edges - REVIEW
  • convolution - filtering
  • cross correlation - compares similarity of two sets of data
  • Edge Detection
  • Filters for Derivatives
• Detecting Lines - REVIEW
  • noise
  • Derivative theorems
  • Sobel Filter
  • Canny edge detector**
  • Hough Transform
  • RANSAC
• Lines and Corners, search
  • Local Invariant Features + Search
  • Harris Corner Detector - REVIEW
• geometry
  • projective space
  • parametrization
  • todo
• detectors and descriptors
  • scale invariant keypoint detection
  • Laplacian of Gaussian LoG
  • SIFT - local detector
  • local descriptor
  • TODO

• Panorama

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basic

• to rotate an image, translate points to desired origin (determine center of image), and apply rotation matrix with theta in radians (to each of the 3 rgb channels)
  • apply inverse rotation matrix if mapping output pixels to input pixels…