NDLI: The Best of Both Worlds: Combining 3D Deformable Models with Active Shape Models

Content Provider	IEEE Xplore Digital Library
Author	Vogler, C. Zhiguo Li Kanaujia, A. Goldenstein, S. Metaxas, D.
Copyright Year	2007
Description	Author affiliation: Gallaudet Univ., Washington (Vogler, C.)
Abstract	Reliable 3D tracking is still a difficult task. Most parametrized 3D deformable models rely on the accurate extraction of image features for updating their parameters, and are prone to failures when the underlying feature distribution assumptions are invalid. Active Shape Models (ASMs), on the other hand, are based on learning, and thus require fewer reliable local image features than parametrized 3D models, but fail easily when they encounter a situation for which they were not trained. In this paper, we develop an integrated framework that combines the strengths of both 3D deformable models and ASMs. The 3D model governs the overall shape, orientation and location, and provides the basis for statistical inference on both the image features and the parameters. The ASMs, in contrast, provide the majority of reliable 2D image features over time, and aid in recovering from drift and total occlusions. The framework dynamically selects among different ASMs to compensate for large viewpoint changes due to head rotations. This integration allows the robust tracking effaces and the estimation of both their rigid and non- rigid motions. We demonstrate the strength of the framework in experiments that include automated 3D model fitting and facial expression tracking for a variety of applications, including sign language.
Starting Page	1
Ending Page	7
File Size	3270561
Page Count	7
File Format	PDF
ISBN	9781424416301
ISSN	15505499
DOI	10.1109/ICCV.2007.4409015
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-10-14
Publisher Place	Brazil
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Deformable models Active shape model Feature extraction Robustness Head Tracking Motion estimation Handicapped aids Videos Switches
Content Type	Text
Resource Type	Article
Subject	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

Improving the scope of deformable model shape and motion estimation

Shape-based object recognition in videos using 3D synthetic object models

Combining Local and Global Motion Estimators for Robust Face Tracking

3D Pose Estimation via Elliptical Fourier Descriptors for Deformable Hand Representations

Active Appearance Models with Rotation Invariant Kernels

Efficient model-based 3D tracking of deformable objects

Tracking With Sobolev Active Contours

Nonlinear Shape and Appearance Models for Facial Expression Analysis and Synthesis

Model-based estimation of 3D human motion

The Best of Both Worlds: Combining 3D Deformable Models with Active Shape Models

Similar Documents

Improving the scope of deformable model shape and motion estimation

Shape-based object recognition in videos using 3D synthetic object models

Combining Local and Global Motion Estimators for Robust Face Tracking

3D Pose Estimation via Elliptical Fourier Descriptors for Deformable Hand Representations

Active Appearance Models with Rotation Invariant Kernels

Efficient model-based 3D tracking of deformable objects

Tracking With Sobolev Active Contours

Nonlinear Shape and Appearance Models for Facial Expression Analysis and Synthesis

Model-based estimation of 3D human motion

The Best of Both Worlds: Combining 3D Deformable Models with Active Shape Models