NDLI: Bending-Invariant Correspondence Matching on 3-D Human Bodies for Feature Point Extraction

Content Provider	IEEE Xplore Digital Library
Author	Li, S.S.-M. Wang, C.C.L. Kin-Chuen Hui
Copyright Year	2004
Abstract	In this paper, we present an automatic approach to match correspondences on 3-D human bodies in various postures so that feature points can be automatically extracted. The feature points are very important to the establishment of volumetric parameterization around human bodies for the human-centered customization of soft-products (Trans. Autom. Sci. Eng., vol. 4, issue no. 1, pp. 11-21, 2007). For a given template human model with a set of predefined feature points, we first down-sample the input model into a set of sample points. Then, the corresponding points of these samples on the human model are identified by minimizing the distortion with the help of a series of transformations regardless of their differences in postures, scales or positions. The basic idea of our algorithm is to transform the template human body to the shape of the input model iteratively. To generate a bending invariant mapping, the initial correspondence/transformation is computed in a multidimensional scaling (MDS) embedding domain of 3-D human models, where the Euclidean distance between two samples on a 3-D model in the MDS domain corresponds to the geodesic distance between them in ℜ³ . As the posture change (i.e., the body bending) of a human model can be considered as approximately isometric in the intrinsic 3-D shape, the initial correspondences established in the MDS domain can greatly enhance the robustness of our approach in body bending. Once the correspondences between the surface samples on the template model and the input model are determined after iterative transformations, we have essentially found the corresponding feature points on the input model. Finally, the locations of the based local matching step.
Sponsorship	IEEE Robotics and Automation Society
Starting Page	805
Ending Page	814
Page Count	10
File Size	1800010
File Format	PDF
ISSN	15455955
Volume Number	8
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Design automation Feature extraction Three dimensional displays Humans Robustness Algorithm design and analysis sign-flip Bending invariant correspondence matching feature points multidimensional scaling (MDS)
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Electrical and Electronic Engineering

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

Scale-Invariant Features for 3-D Mesh Models

An Integrated Framework for 3-D Modeling, Object Detection, and Pose Estimation From Point-Clouds

DeepPano: Deep Panoramic Representation for 3-D Shape Recognition

Subsampling models and anti-alias filters for 3-D automultiscopic displays

Contactless and Pose Invariant Biometric Identification Using Hand Surface

A Depth-Aware Character Generator for 3DTV

Matching and 3-D Reconstruction of Multibubbles Based on Virtual Stereo Vision

Robust object pose estimation from feature-based stereo

A New 3D-Matching Method of Nonrigid and Partially Similar Models Using Curve Analysis

Bending-Invariant Correspondence Matching on 3-D Human Bodies for Feature Point Extraction

Similar Documents

Scale-Invariant Features for 3-D Mesh Models

An Integrated Framework for 3-D Modeling, Object Detection, and Pose Estimation From Point-Clouds

DeepPano: Deep Panoramic Representation for 3-D Shape Recognition

Subsampling models and anti-alias filters for 3-D automultiscopic displays

Contactless and Pose Invariant Biometric Identification Using Hand Surface

A Depth-Aware Character Generator for 3DTV

Matching and 3-D Reconstruction of Multibubbles Based on Virtual Stereo Vision

Robust object pose estimation from feature-based stereo

A New 3D-Matching Method of Nonrigid and Partially Similar Models Using Curve Analysis

Bending-Invariant Correspondence Matching on 3-D Human Bodies for Feature Point Extraction