Use of depth and colour eigenfaces for face recognition
- 30 June 2003
- journal article
- research article
- Published by Elsevier BV in Pattern Recognition Letters
- Vol. 24 (9-10), 1427-1435
- https://doi.org/10.1016/s0167-8655(02)00383-5
Abstract
No abstract availableKeywords
This publication has 10 references indexed in Scilit:
- Face recognition using eigenfacesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Curvature-based face surface recognition using spherical correlation. Principal directions for curved object recognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Discriminant analysis of principal components for face recognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Probabilistic visual learning for object detectionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- The global dimensionality of face spacePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Using support vector machines to enhance the performance of elastic graph matching for frontal face authenticationIeee Transactions On Pattern Analysis and Machine Intelligence, 2001
- Face Recognition with Support Vector Machines: Global versus Component-Based ApproachPublished by Defense Technical Information Center (DTIC) ,2001
- An embedded HMM-based approach for face detection and recognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1999
- Motion and disparity field estimation using rate-distortion optimizationIEEE Transactions on Circuits and Systems for Video Technology, 1998
- Face recognition by elastic bunch graph matchingIEEE Transactions on Pattern Analysis and Machine Intelligence, 1997