Image processing and feature Extraction

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Across
  1. 3. Transform used to analyze frequency components.
  2. 9. Estimates apparent motion between frames.
  3. 10. Technique used to stabilize ill‑posed problems.
  4. 13. Difference in pixel position used to compute depth.
  5. 14. Popular gradient‑based shape descriptor.
  6. 15. Statistical description of color channels.
  7. 17. Graph showing the distribution of colors.
  8. 21. Detects boundaries between regions.
  9. 23. Uses pixel comparisons to encode texture.
  10. 24. 3‑letter structure‑from‑motion acronym.
  11. 25. Assumption that pixel intensity remains constant.
Down
  1. 1. Boundary shape representation of objects.
  2. 2. Describes surface appearance of an image.
  3. 4. Aligns stereo images onto the same scan lines.
  4. 5. Multi‑resolution frequency transform.
  5. 6. Determines intrinsic and extrinsic camera parameters.
  6. 7. Describes the outline or geometry of an object.
  7. 8. A classic global optical‑flow method.
  8. 11. Geometry describing point‑line relationships in stereo.
  9. 12. Matrix describing spatial gray‑level relationships.
  10. 16. Uses two images to estimate depth.
  11. 18. Matches keypoints across images.
  12. 19. A local optical‑flow estimation method.
  13. 20. Stage used to enhance image quality before processing.
  14. 22. Computes 3D points from multiple 2D views.