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Publication Citation: Identifying Objects in Range Data Based on Similarity Transformation Invariant Shape Signatures

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Author(s): Xiaolan Li; Asim Wagan; Afzal A. Godil;
Title: Identifying Objects in Range Data Based on Similarity Transformation Invariant Shape Signatures
Published: August 19, 2008
Abstract: Identification and recognition of three dimensional (3D) objects in range data is a challenging problem. We propose a novel method to fulfill the task through two steps: 1) construct the feature signatures for the objects in the scene and the models in a 3D database; 2) based on the feature signature, find out the most similar model which decides the class of the corresponding object in the scene. We also evaluate the accuracy, robustness of the recognition method with several configurations. Our experimental results validate the effectiveness of our method.
Conference: Performance Metrics for Intelligent Systems Workshop Proceedings (PerMIS)
Location: Gaithersburg, MD
Dates: August 19-21, 2008
Keywords: accuracy evaluation;object recognition
Research Areas: Data and Informatics
PDF version: PDF Document Click here to retrieve PDF version of paper (135KB)