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计算机视觉

Grouping and Segmentation

2020-04-15原始语言归档部分历史资源可能仍不完整

Grouping

  • Goals
    • Gather features that belong together
    • obtain an intermediate representation that cmopactly describes key image or video parts
  • Top down segmentation: pixels belong together because they are from the same object
  • Bottom up segmentation: pixels belong together because they look similar
  • Gestalt Theory
    • Whole is greater than sum of its parts
    • Relationships among parts can yield new properties/features

Segmentation

  • K-means clustering
  • Probabilistic clustering
  • Mixture of Gaussians
  • GMM
  • Mean-shift Algorithm