Abstract

Everybody has a common sense notion of the shape of an object. This notion is invariant to rigid motions of the object, such as translations, rotations, and reflections. In many applications, however, the object is viewed through a deforming transformation so that the object appears to have a different shape. The concept of intrinsic shape of an object as an invariant to a more general class of deforming transformations and then recovering this invariant from the actual data available is described briefly.

Keywords:
Invariant (physics) Object (grammar) Computer vision Artificial intelligence Transformation (genetics) Computer science Mathematics Pure mathematics

Metrics

5
Cited By
1.29
FWCI (Field Weighted Citation Impact)
6
Refs
0.80
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Scientific Research and Discoveries
Physical Sciences →  Physics and Astronomy →  Statistical and Nonlinear Physics
Image Processing and 3D Reconstruction
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Morphological variations and asymmetry
Physical Sciences →  Mathematics →  Geometry and Topology

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