An axis-based representation for recognition

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2005-01-01

Author

Aslan, C
Tarı, Zehra Sibel

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We present a new axis-hased shape representation scheme along with a matching framework to address the problem of generic shape recognition. The main idea is to define the relative spatial arrangement of local symmetry axes and their metric properties in a shape centered coordinate frame. The resulting descriptions are invariant to scale, rotation, small changes in viewpoint and articulations. Symmetry points are extracted from a surface whose level curves roughly mimic the motion by curvature. By increasing the amount of smoothing on the evolving curve, only those symmetry axes that correspond to the most prominent parts of a shape are extracted The representation does not suffer from the common instability problems of the traditional connected skeletons. It captures the perceptual qualities of shapes well. Therefore finding the similarities and the differences among shapes becomes easier. The matching process gives highly successful results on a diverse database of 2D shapes.

Subject Keywords

Shape, Skeleton, Smoothing methods, Electric shock, Computer vision, Rough surfaces, Surface roughness, Databases, Lighting, Guidelines

URI

https://hdl.handle.net/11511/57699

DOI

https://doi.org/10.1109/iccv.2005.32

Conference Name

10th IEEE International Conference on Computer Vision (ICCV 2005)

Collections

Department of Computer Engineering, Conference / Seminar

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Citation Formats

C. Aslan and Z. S. Tarı, “An axis-based representation for recognition,” presented at the 10th IEEE International Conference on Computer Vision (ICCV 2005), Beijing, PEOPLES R CHINA, 2005, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/57699.