Open Access
XM2VTSDB: The Extended M2VTS Database
TLDR
This poster presents a poster presenting a probabilistic procedure for estimating the response of the immune system to laser-spot assisted surgery to treat central giant cell granuloma.Abstract:
Keywords: vision Reference EPFL-CONF-82502 URL: ftp://ftp.idiap.ch/pub/papers/vision/avbpa99.pdf Record created on 2006-03-10, modified on 2017-05-10read more
Citations
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Journal ArticleDOI
Face recognition: A literature survey
TL;DR: In this paper, the authors provide an up-to-date critical survey of still-and video-based face recognition research, and provide some insights into the studies of machine recognition of faces.
Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments
TL;DR: The database contains labeled face photographs spanning the range of conditions typically encountered in everyday life, and exhibits “natural” variability in factors such as pose, lighting, race, accessories, occlusions, and background.
Journal ArticleDOI
Multi-PIE
TL;DR: This paper introduces the database, describes the recording procedure, and presents results from baseline experiments using PCA and LDA classifiers to highlight similarities and differences between PIE and Multi-PIE.
Proceedings Article
Multi-PIE
TL;DR: The CMU Multi-PIE database as mentioned in this paper contains 337 subjects, imaged under 15 view points and 19 illumination conditions in up to four recording sessions, with a limited number of subjects, a single recording session and only few expressions captured.
Proceedings ArticleDOI
Face Alignment Across Large Poses: A 3D Solution
TL;DR: 3D Dense Face Alignment (3DDFA), in which a dense 3D face model is fitted to the image via convolutional neutral network (CNN), is proposed, and a method to synthesize large-scale training samples in profile views to solve the third problem of data labelling is proposed.
References
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Evaluation Protocol for the extended M2VTS Database (XM2VTSDB)
Juergen Luettin,Gilbert Maître +1 more
TL;DR: This document describes a proposal for an evaluation protocol for the extended {M2 VTS} database ({XM2VTSDB}) including the training of experts and supervisor.
Multi-modal person verification tools using speech and images
Marc Acheroy,Charles Beumier,Josef Bigun,Gérard Chollet,Benoît Duc,Stefan Fischer,Dominique Genoud,Philip Lockwood,Gilbert Maître,Stéphane Pigeon,Ioannis Pitas,K. Sobottka,Luc Vandendorpe +12 more
TL;DR: LTS1 Reference LTS-CONF-1996-005 Record created on 2006-06-14, modified on 2016-08-08.