Audio and video based biometric person authentication : third International Conference, AVBPA 2001, Halmstad,
User Rating: Be the first one!
Author: International Conference, AVBPA (3rd : 2001 : Halmstad, Sweden), Bigün, Josef, Smeraldi, Fabrizio, 1972-
Added by: sketch
Added Date: 2015-12-30
Language: eng
Subjects: Automatic speech recognition, Optical pattern recognition, Biometric identification
Publishers: Berlin ; New York : Springer
Collections: folkscanomy miscellaneous, folkscanomy, additional collections
ISBN Number: 3540422161
Pages Count: 300
PPI Count: 300
PDF Count: 1
Total Size: 199.65 MB
PDF Size: 18.38 MB
Extensions: djvu, gif, pdf, gz, zip, torrent, log, mrc
Edition: [Elektronische Ressource]
Downloads: 594
Views: 644
Total Files: 18
Media Type: texts
Total Files: 5
TORRENT
springer 10 1007 3 540 45344 X archive t...torrent
Last Modified: 2022-03-09 09:15:04
Download
Size: 11.91 KB
Description
Audio- and Video-Based Biometric Person Authentication: Third International Conference, AVBPA 2001 Halmstad, Sweden, June 6–8, 2001 Proceedings
Author: Josef Bigun, Fabrizio Smeraldi
Published by Springer Berlin Heidelberg
ISBN: 978-3-540-42216-7
DOI: 10.1007/3-540-45344-X
Table of Contents:
Includes bibliographical references and index
Author: Josef Bigun, Fabrizio Smeraldi
Published by Springer Berlin Heidelberg
ISBN: 978-3-540-42216-7
DOI: 10.1007/3-540-45344-X
Table of Contents:
- Face Identification and Verification via ECOC
- Pose-Independent Face Identification from Video Sequences
- Face Recognition Using Independent GaborWavelet Features
- Face Recognition from 2D and 3D Images
- Face Recognition Using Support Vector Machines with the Feature Set Extracted by Genetic Algorithms
- Comparative Performance Evaluation of Gray-Scale and Color Information for Face Recognition Tasks
- Evidence on Skill Differences of Women and Men Concerning Face Recognition
- Face Recognition by Auto-associative Radial Basis Function Network
- Face Recognition Using Independent Component Analysis and Support Vector Machines ⋆
- A Comparison of Face/Non-face Classiffiers
- Using Mixture Covariance Matrices to Improve Face and Facial Expression Recognitions
- Real-Time Face Detection Using Edge-Orientation Matching
- Directional Properties of Colour Co-occurrence Features for Lip Location and Segmentation
- Robust Face Detection Using the Hausdorff Distance
- Multiple Landmark Feature Point Mapping for Robust Face Recognition
- Face Detection on Still Images Using HIT Maps
- Lip Recognition Using Morphological Pattern Spectrum
- A Face Location Algorithm Robust to Complex Lighting Conditions
- Automatic Facial Feature Extraction and Facial Expression Recognition
- Fusion of Audio-Visual Information for Integrated Speech Processing
Includes bibliographical references and index
You May Also Like
We will be happy to hear your thoughts