NDLI: Global Non-rigid Alignment of Surface Sequences

Content Provider	Springer Nature Link
Author	Budd, Chris Huang, Peng Klaudiny, Martin Hilton, Adrian
Copyright Year	2012
Abstract	This paper presents a general approach based on the shape similarity tree for non-sequential alignment across databases of multiple unstructured mesh sequences from non-rigid surface capture. The optimal shape similarity tree for non-rigid alignment is defined as the minimum spanning tree in shape similarity space. Non-sequential alignment based on the shape similarity tree minimises the total non-rigid deformation required to register all frames in a database into a consistent mesh structure with surfaces in correspondence. This allows alignment across multiple sequences of different motions, reduces drift in sequential alignment and is robust to rapid non-rigid motion. Evaluation is performed on three benchmark databases of 3D mesh sequences with a variety of complex human and cloth motion. Comparison with sequential alignment demonstrates reduced errors due to drift and improved robustness to large non-rigid deformation, together with global alignment across multiple sequences which is not possible with previous sequential approaches.
Starting Page	256
Ending Page	270
Page Count	15
File Format	PDF
ISSN	09205691
Journal	International Journal of Computer Vision
Volume Number	102
Issue Number	1-3
e-ISSN	15731405
Language	English
Publisher	Springer US
Publisher Date	2012-08-04
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Non-rigid surface alignment Surface tracking Non-sequential tracking 3D video 3D mesh sequences 4D modelling Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence (incl. Robotics) Image Processing and Computer Vision Pattern Recognition
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Computer Vision and Pattern Recognition Software

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

Global Non-rigid Alignment of Surface Sequences

A Bayesian Approach to Multi-view 4D Modeling

Shape Retrieval of Non-rigid 3D Human Models

Shape Similarity for 3D Video Sequences of People

Mutual Information-Based 3D Object Tracking

An Expression Deformation Approach to Non-rigid 3D Face Recognition

Behavioral Priors for Detection and Tracking of Pedestrians in Video Sequences

Direct Model-Based Tracking of 3D Object Deformations in Depth and Color Video

Feature-Preserved 3D Canonical Form

Global Non-rigid Alignment of Surface Sequences

Similar Documents

Global Non-rigid Alignment of Surface Sequences

A Bayesian Approach to Multi-view 4D Modeling

Shape Retrieval of Non-rigid 3D Human Models

Shape Similarity for 3D Video Sequences of People

Mutual Information-Based 3D Object Tracking

An Expression Deformation Approach to Non-rigid 3D Face Recognition

Behavioral Priors for Detection and Tracking of Pedestrians in Video Sequences

Direct Model-Based Tracking of 3D Object Deformations in Depth and Color Video

Feature-Preserved 3D Canonical Form

Global Non-rigid Alignment of Surface Sequences