3D Model Retrieval Based on Distance Classification Histogram

Ji Lai Zhou; Ming Quan Zhou; Guo Hua Geng

doi:10.4028/www.scientific.net/AMM.733.931

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 7333D Model Retrieval Based on Distance...

3D Model Retrieval Based on Distance Classification Histogram

Abstract:

This paper presents a new algorithm to retrieve 3D model on distance classification histogram. First, we select the certain number of random points on the model surface and compute the distance between two random points. Secondly, we sort the distance into two types which is based on the different geometry properties of these distance and construct the distance classification histogram. Finally, we measure the similarity of 3D models by comparing distance classification histogram. The experimental results on PSB show that our method has a good performance in precision and computational complication.

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Periodical:

Applied Mechanics and Materials (Volume 733)

Pages:

931-934

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.733.931

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Online since:

February 2015

Authors:

Ji Lai Zhou, Ming Quan Zhou, Guo Hua Geng

Keywords:

3D Model Retrieval, Distance Classification Histogram, Feature Extraction

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