NDLI: 3D model classification using salient features for content representation

Content Provider	IEEE Xplore Digital Library
Author	Li Zongmin Wang Daqian Li Boyang Zhong Liangliang
Copyright Year	2010
Description	Author affiliation: School of Computer Science and Communication Engineering, China University of Petroleum, Donying, 257061, China (Li Zongmin; Wang Daqian; Li Boyang; Zhong Liangliang)
Abstract	In 3D model retrieval area, many methods have been proposed. However, most of these methods are content-based, and focus on how to describe a model more accurately and how to measure the similarity between models. The most important problem in content-based retrieval is that there is a semantic gap between low-level visual features and high-level human semantic, so that most of the existing methods cannot tell the differences between a banana and a dolphin. How to bridge the semantic gap is becoming a new challenge. In this paper, we propose a hierarchical 3D model classification method to detect the semantics of 3D models. After getting the features of models, we use manifold learning methods to reduce the dimension of model features, and meanwhile get a semantic representation for the model. The reduced feature is called salient feature. Then, the salient features are used to train classifiers and the classifiers are used to detect model semantic. Our method is a semi-supervised learning method and can deal with the small sample problem. Experiments show that the method is promising.
Starting Page	3541
Ending Page	3545
File Size	354102
Page Count	5
File Format	PDF
ISBN	9781424459582
e-ISBN	9781424459612
DOI	10.1109/ICNC.2010.5584191
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-10
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Training Solid modeling semantic model classification Shape Computational modeling Multi-level classification Semantics salient features Three dimensional displays
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

3D gender recognition using cognitive modeling

View-based 3D CAD model retrieval using local visual features

Probabilistic latent semantic analysis for sketch-based 3D model retrieval

Retrieving 3D CAD models using 2D images with optimized weights

Automatic 3D facial expression recognition using geometric scattering representation

Integrating the user's semantic features with content-based 3D model retrieval

Research on Semantic-Based 3D Model Retrieval

A Method of Automatic Semantic Annotation of 3D Model Based on Content Feature

A Log-Based Relevance Feedback Scheme for 3D Model Retrieval

3D model classification using salient features for content representation

Similar Documents

3D gender recognition using cognitive modeling

View-based 3D CAD model retrieval using local visual features

Probabilistic latent semantic analysis for sketch-based 3D model retrieval

Retrieving 3D CAD models using 2D images with optimized weights

Automatic 3D facial expression recognition using geometric scattering representation

Integrating the user's semantic features with content-based 3D model retrieval

Research on Semantic-Based 3D Model Retrieval

A Method of Automatic Semantic Annotation of 3D Model Based on Content Feature

A Log-Based Relevance Feedback Scheme for 3D Model Retrieval

3D model classification using salient features for content representation