Point Matching Methods: Survey and Comparison

نویسندگان

  • Varun Jain
  • Xiaoxing Li
چکیده

Abstact Point/feature matching in 2D images has been well studied in the computer vision community. With the huge advancement in shape scanning and acquisition technology, feature matching has recently found usefulness in 3D shape matching and searching. We study the general problem of feature correspondence in 3D shapes represented by triangular meshes. This project is a survey and comparison of extending various 2D point matching algorithms to 3D data sets. Finally, we suggest several potential ways to extend these techniques for solving the general problem of feature correspondence in 3D shapes.

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تاریخ انتشار 2004