Researches on Mold-based Feature Eztraction and Retrieval Technology of 3D Models
As the key problem of content-based threedimensional model retrieval, feature extraction methods do not achieve ideal performance at present. Most of past feature extraction methods just utilize the attributes of the model itself. Therefore, it is a promising direction to utilize the categorization information in the process of feature extraction. According to the fact that models in the same category have many similarities and little differences, we represent the contents of models in one category by elastic mold. We also introduce the feature extraction and the selecting method of the optimal mold. Finally, we state an effective retrieval mechanism based on mold. The experimental result shows that our method performs better than the traditional ones.
Sen Wang Tianyang Lv Yanzhi Cheng Zhengxuan Wang
Department of Computer Science and Technology, Jilin University, Changchun 130012, China Department of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China
国际会议
黄山
英文
371-376
2009-08-19(万方平台首次上网日期,不代表论文的发表时间)