Scale space semi-local invariants
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摘要
In this paper we discuss a new approach to invariant signatures for recognizing curves under viewing distortions and partial occlusion. The approach is intended to overcome the ill-posed problem of finding derivatives, on which local invariants usually depend. The basic idea is to use invariant finite differences, with a scale parameter that determines the size of the differencing interval. The scale parameter is allowed to vary so that we obtain a ‘scale space’-like invariant representation of the curve, with larger difference intervals corresponding to larger, coarser scales. In this new representation, each traditional local invariant is replaced by a scale-dependent range of invariants. Thus, instead of invariant signature curves we obtain invariant signature surfaces in a 3-D invariant ‘scale space’.
论文关键词:Local invariants,Object recognition,Scale space
论文评审过程:Received 3 June 1995, Accepted 14 August 1996, Available online 19 May 1998.
论文官网地址:https://doi.org/10.1016/S0262-8856(96)01140-7