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Everything about Range segmentation

Range segmentation is the task of segmenting (dividing) a range image, an image containing depth information for each pixel, into segments (regions), so that all the points of the same surface belong to the same region, there is no overlap between different regions and the union of these regions generates the entire image. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Range segmentationA 5-minute orientation
  2. Skim a recent paper: SegMamba-V2: Long-Range Sequential Modeling Mamba for General 3-D Medical Image SegmentationInfluential work since 2022
  3. Pick up a classic book: Communications, Signal Processing, and SystemsThe most-reprinted book on the subject
  4. Read the landmark paper: An experimental comparison of range image segmentation algorithmsCited 562 times
  5. Go sideways: Image segmentationA closely related topic
  6. Go sideways: Gérard G. MedioniA closely related topic

📖 Definitions

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🗂️ The subject at a glance

  1. Algorithmic approaches

🏆 Landmark papers (most cited)

🆕 Influential since 2022

📚 Books worth reading

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🔗 Related topics