NDLI: Optimal landmark detection using shape models and branch and bound

Content Provider	IEEE Xplore Digital Library
Author	Amberg, B. Vetter, T.
Copyright Year	2011
Description	Author affiliation: University of Basel, Switzerland (Amberg, B.; Vetter, T.)
Abstract	Fitting statistical 2D and 3D shape models to images is necessary for a variety of tasks, such as video editing and face recognition. Much progress has been made on local fitting from an initial guess, but determining a close enough initial guess is still an open problem. One approach is to detect distinct landmarks in the image and initalize the model fit from these correspondences. This is difficult, because detection of landmarks based only on the local appearance is inherently ambiguous. This makes it necessary to use global shape information for the detections. We propose a method to solve the combinatorial problem of selecting out of a large number of candidate landmark detections the configuration which is best supported by a shape model. Our method, as opposed to previous approaches, always finds the globally optimal configuration. The algorithm can be applied to a very general class of shape models and is independent of the underlying feature point detector. Its theoretic optimality is shown, and it is evaluated on a large face dataset.
Starting Page	455
Ending Page	462
File Size	2475448
Page Count	8
File Format	PDF
ISBN	9781457711015
ISSN	15505499
e-ISBN	9781457711022
DOI	10.1109/ICCV.2011.6126275
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-11-06
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Detectors Shape Face Three dimensional displays Solid modeling Cost function Feature extraction
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

Towards Pose Robust Face Recognition

Landmark detection from 3D mesh facial models for image-based analysis of dysmorphology

Spatiotemporal Deformable Part Models for Action Detection

Practical 3-D Object detection using category and instance-level appearance models

Facial 3D Shape Estimation from Images for Visual Speech Animation

A 3D Approach to Facial Landmarks: Detection, Refinement, and Tracking

3D face recognition using weighted geodesic distances

Makeup-Invariant Face Recognition by 3D Face: Modeling and Dual-Tree Complex Wavelet Transform from Women's 2D Real-World Images

What makes a chair a chair?

Optimal landmark detection using shape models and branch and bound

Similar Documents

Towards Pose Robust Face Recognition

Landmark detection from 3D mesh facial models for image-based analysis of dysmorphology

Spatiotemporal Deformable Part Models for Action Detection

Practical 3-D Object detection using category and instance-level appearance models

Facial 3D Shape Estimation from Images for Visual Speech Animation

A 3D Approach to Facial Landmarks: Detection, Refinement, and Tracking

3D face recognition using weighted geodesic distances

Makeup-Invariant Face Recognition by 3D Face: Modeling and Dual-Tree Complex Wavelet Transform from Women's 2D Real-World Images

What makes a chair a chair?

Optimal landmark detection using shape models and branch and bound