.png){kind=icon}
Return
Artwork 3D model database indexing and classification
.png){kind=icon}
OA
AI
DOI：10.1016/j.patcog.2010.09.016.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
This paper presents a framework for the indexing and retrieval of artwork 3D models, allowing global and partial model classification and retrieval. The first part of the paper deals with database classification based on global shape descriptors. A search engine RETIN-3D, using a SVM classifier coupled with an active learning strategy allows to retrieve categories of similar objects. In a second part, the classification is improved thanks to a local description of the models. A new framework for 3D surface segmentation is proposed. Shape descriptors are adapted to surface regions and kernels on descriptor bags are used to perform the database classification. Our system is designed for classifying and retrieving in ancient artwork 3D databases, and results from this application domain are presented and commented along the paper. (C) 2010 Elsevier Ltd. All rights reserved.
Keywords:
3D database classification
3D shape descriptors
3D surface segmentation
Graph cuts
Watersheds
Artwork database
RETIN
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
7.6
Papers:
1.3W
Citations:
4.5W
Organization
Cited Papers
.png){kind=icon}
ShareSaveShareSaveShareSaveShareSaveShareSave
ShareSaveShareSave
View more