Application of the Karhunen-Loeve Procedure for the Characterization of Human Faces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
The FERET Evaluation Methodology for Face-Recognition Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Biometrics, Personal Identification in Networked Society: Personal Identification in Networked Society
History, Current Status, and Future of Infrared Identification
CVBVS '00 Proceedings of the IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications (CVBVS 2000)
Thermal Imaging for Anxiety Detection
CVBVS '00 Proceedings of the IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications (CVBVS 2000)
Comparison of visible and infra-red imagery for face recognition
FG '96 Proceedings of the 2nd International Conference on Automatic Face and Gesture Recognition (FG '96)
A Comparative Analysis of Face Recognition Performance with Visible and Thermal Infrared Imagery
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 4 - Volume 4
PCA-Based Face Recognition in Infrared Imagery: Baseline and Comparative Studies
AMFG '03 Proceedings of the IEEE International Workshop on Analysis and Modeling of Faces and Gestures
Multi-Modal 2D and 3D Biometrics for Face Recognition
AMFG '03 Proceedings of the IEEE International Workshop on Analysis and Modeling of Faces and Gestures
Face recognition with visible and thermal infrared imagery
Computer Vision and Image Understanding - Special issue on Face recognition
Thermal Face Recognition Over Time
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 8 - Volume 08
Assessment of time dependency in face recognition: an initial study
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Physiology-Based Face Recognition in the Thermal Infrared Spectrum
IEEE Transactions on Pattern Analysis and Machine Intelligence
Illumination Invariant Face Recognition Using Near-Infrared Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fusion of visual and infra-red face scores by weighted power series
Pattern Recognition Letters
A Biological Intelligent Access Control System Based on DSP and NIR Technology
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Theoretical and Methodological Issues
Decision fusion based on voting scheme for IR and visible face recognition
Machine Graphics & Vision International Journal
Pattern Recognition Letters
Kernel based subspace methods: infrared vs visible face
Machine Graphics & Vision International Journal
Facial recognition using multisensor images based on localized kernel eigen spaces
IEEE Transactions on Image Processing
Biometric Recognition: When Is Evidence Fusion Advantageous?
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
Hi-index | 0.00 |
This paper presents the results of several large-scale studies of face recognition employing visible-light and infrared (IR) imagery in the context of principal component analysis. We find that in a scenario involving time lapse between gallery and probe, and relatively controlled lighting, (1) PCA-based recognition using visible-light images outperforms PCA-based recognition using infrared images, (2) the combination of PCA-based recognition using visible-light and infrared imagery substantially outperforms either one individually. In a same-session scenario (i.e., near-simultaneous acquisition of gallery and probe images) neither modality is significantly better than the other. These experimental results reinforce prior research that employed a smaller data set, presenting a convincing argument that, even across a broad experimental spectrum, the behaviors enumerated above are valid and consistent.