Sketch-Based 3D Model Shape Retrieval Using Multi-feature Fusion

被引：1
|
作者：
Mao, Dianhui [1 ,2 ]
Yin, Huanpu [1 ,2 ]
Li, Haisheng [1 ,2 ]
Cai, Qiang [1 ,2 ]
机构：
[1] Beijing Technol & Business Univ, Sch Comp & Informat Engn, Beijing 100048, Peoples R China
[2] Beijing Technol & Business Univ, Beijing Key Lab Big Data Technol Food Safety, Beijing 100048, Peoples R China
来源：
PROCEEDINGS OF THE 2015 CHINESE INTELLIGENT SYSTEMS CONFERENCE, VOL 2 | 2016年 / 360卷
关键词：
Sketch-based retrieval; Shape retrieval; Multi-view; 3D model;
D O I：
10.1007/978-3-662-48365-7_40
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
At present, the application of 3D models is becoming more widely, which makes it very important and crucial to retrieve 3D model effectively. With the method based on content to search for those 3D models, rather than textual annotations, it is very important. For this purpose, this paper presented an effective sketch-based 3D model shape retrieval approach. The algorithm compares multi-view rendering of 3D models with the 2D sketch, and the feature vector is defined as a combination of global feature and local feature. We perform experiments, the results of which show a significant increase in precision for 3D model retrieval.
引用
收藏
页码：395 / 402
页数：8
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