3D Model Retrieval Based on Distance Classification Histogram

Autor:	Ming Quan Zhou, Ji Lai Zhou, Guo Hua Geng
Rok vydání:	2015
Předmět:	business.industry Balanced histogram thresholding Feature extraction Histogram matching Pattern recognition General Medicine Similarity (network science) Histogram Adaptive histogram equalization Artificial intelligence business Distance transform Image histogram Mathematics
Zdroj:	Applied Mechanics and Materials. 733:931-934
ISSN:	1662-7482
DOI:	10.4028/www.scientific.net/amm.733.931
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::8c39687c280da6df19d6cbc476b527f6 https://doi.org/10.4028/www.scientific.net/amm.733.931 Zobrazit plný text záznamu