Invariant object representation and recognition using lie algebra of perceptual vector fields

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Abstract

This paper presents a global method to represent objects invariamtly under Euclidean motions using Lie algebra of perceptional vector field of the objects. We focus on the linear Lie sub-algebra of the tangent or normal Lie algebra of objects and use pure local information in these Lie algebra to represent global shapes. It is shown that this simple subalgebra can represent algebraic shapes and a much wider class of non-algebraic shapes as well. In this way, an occlusion-robust and fast recognition method is derived.

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Chao, J., Karasudani, A., & Minowa, K. (1997). Invariant object representation and recognition using lie algebra of perceptual vector fields. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1311, pp. 284–291). Springer Verlag. https://doi.org/10.1007/3-540-63508-4_134

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