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Symmetry - PowerPoint PPT Presentation


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Symmetry. Find points with shape edges using different threshold angles. Clustering based on points. Find matching clusters. Computer symmetry plane. My method. Previous pose normalization. Problems. A better way to do cluster ? How to evaluate matching clusters more properly

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symmetry
Symmetry
  • Find points with shape edges using different threshold angles
computer symmetry plane
Computer symmetry plane

My method

Previous pose normalization

problems
Problems
  • A better way to do cluster?
  • How to evaluate matching clusters more properly
    • Now using Gaussian mixture distribution
    • The covariance matrices are restricted to be diagonal
    • The distance score
slide9
Next
  • Use other feature points ( find the points by learning )
  • Use features along with (x,y,z) to do clustering
  • Find 10 hard/easy ones in Cleft dataset
  • Prepare points (Giving examples)
  • Schedule a meeting with Michael
  • Triangles are more reliable (distance to be large)
  • Get manual landmarks from Jiun-hong’s
slide10

Jiun-hong’s pose normalize method

  • On automatic landmarks_> should be nice
ideas
Ideas
  • Bipartite matching
  • Fit clusters into lines
  • The use of bounding box
  • Corners of 3D
  • Use front and back info as a constrain
  • How to evaluate the results
slide12

Using position, such as exhausting searching, can do symmetry and find matching points back and forth a couple of times

slide13

Learn: what is a good matching!!

    • Give it some heads, learn from samples, what’s “good” matches
  • Instead of use self’s constrains