A Survey of Recent View-based 3D Model Retrieval Methods
Abstract
Extensive research efforts have been dedicated to 3D model retrieval in recent decades. Recently, view-based methods have attracted much research attention due to the high discriminative property of multi-views for 3D object representation. In this report, we summarize the view-based 3D model methods and provide the further research trends. This paper focuses on the scheme for matching between multiple views of 3D models and the application of bag-of-visual-words method in 3D model retrieval. For matching between multiple views, the many-to-many matching, probabilistic matching and semisupervised learning methods are introduced. For bag-of-visual-words application in 3D model retrieval, we first briefly review the bag-of-visual-words works on multimedia and computer vision tasks, where the visual dictionary has been detailed introduced. Then a series of 3D model retrieval methods by using bag-of-visual-words description are surveyed in this paper. At last, we summarize the further research content in view-based 3D model retrieval.
Cite
@article{arxiv.1208.3670,
title = {A Survey of Recent View-based 3D Model Retrieval Methods},
author = {Qiong Liu},
journal= {arXiv preprint arXiv:1208.3670},
year = {2012}
}
Comments
15 pages. arXiv admin note: text overlap with arXiv:1207.7244 by other author without attribution