Point Signatures: A New Representation for 3D Object Recognition

被引:0
|
作者
Chin Seng Chua
Ray Jarvis
机构
[1] Defence Science Organisation,Signal Processing Laboratory
[2] Monash University,Intelligent Robotics Research Centre, Department of Electrical and Computer Systems Engineering
关键词
3D object recognition; model indexing; feature extraction; free-form surface registrataion; pose estimation;
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中图分类号
学科分类号
摘要
Few systems capable of recognizing complex objects with free-form (sculptured) surfaces have been developed. The apparent lack of success is mainly due to the lack of a competent modelling scheme for representing such complex objects. In this paper, a new form of point representation for describing 3D free-form surfaces is proposed. This representation, which we call the point signature, serves to describe the structural neighbourhood of a point in a more complete manner than just using the 3D coordinates of the point. Being invariant to rotation and translation, the point signature can be used directly to hypothesize the correspondence to model points with similar signatures. Recognition is achieved by matching the signatures of data points representing the sensed surface to the signatures of data points representing the model surface.
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页码:63 / 85
页数:22
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