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Everything about Segmentation-based object categorization

The image segmentation problem is concerned with partitioning an image into multiple regions according to some homogeneity criterion. This article is primarily concerned with graph theoretic approaches to image segmentation applying graph partitioning via minimum cut or maximum cut. Segmentation-based object categorization can be viewed as a specific case of spectral clustering applied to image segmentation. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Segmentation-based object categorizationA 5-minute orientation
  2. Pick up a classic book: Object categorizationThe most-reprinted book on the subject
  3. Read the landmark paper: DFT-Net: Deep Feature Transformation Based Network for Object Categorization and Part Segmentation in 3-Dimensional Point CloudsCited 6 times
  4. Go sideways: Numerical rangeA closely related topic
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🗂️ The subject at a glance

  1. Applications of image segmentation
  2. Segmentation using normalized cuts
  3. OBJ CUT
  4. Other approaches

🏆 Landmark papers (most cited)

đź“š Books worth reading

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