Fast 3D Object Recognition of Rotationally Symmetric Objects
نویسندگان
چکیده
In this paper we extend a recent approach for 3D object recognition in order to deal with rotationally symmetric objects, which are frequent in daily environments. We base our work in a recent method that represents objects using a hash table of shape features, which in the case of symmetric objects contains redundant information. We propose a way to remove redundant features by adding a weight factor for each set of symmetric features. The removal procedure leads to significant computational savings while keeping the recognition perfomance. The experiments show recognition time improvements up to 300x with respect to state-of-the-art methods.
منابع مشابه
Fast performance 3D object recognition: Dealing with rotationally symmetric objects
In this paper we extend a recent approach for 3D object recognition in order to deal with rotationally symmetric objects. These are frequent in daily environments and can be recognized with significant computational savings if symmetrical features are jointly represented. We show improvements up to 120x with respect to state-of-the-art methods.
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