Clustered Signatures for Modeling and Recognizing 3D Rigid Objects

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Executive Summary

Three-dimensional model-based object representation uses the geometry of an object for modeling. In this method, an object's geometric properties and relations are extracted and stored as a model of that particular object. During the matching process, the same procedure is applied to the test object, and its geometric properties and relations are compared against the models for identification purposes. The main goal of all modeling techniques is to extract sufficient object features to enable reliable object recognition during the matching process. Recently, due to the decreasing cost of 3D scanners, more complex methods that use patches created from dense images have been introduced in the literature.

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