Model-based object pose in 25 lines of code
International Journal of Computer Vision - Special issue: image understanding research at the University of Maryland
Face recognition by elastic bunch graph matching
Intelligent biometric techniques in fingerprint and face recognition
Discriminant Analysis of Principal Components for Face Recognition
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
A Feature-Based Face Recognition System
ICIAP '03 Proceedings of the 12th International Conference on Image Analysis and Processing
Face recognition: A literature survey
ACM Computing Surveys (CSUR)
Optimised Landmark Model Matching for Face Recognition
FGR '06 Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recognize High Resolution Faces: From Macrocosm to Microcosm
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
On the Use of SIFT Features for Face Authentication
CVPRW '06 Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop
Illumination Invariant Elastic Bunch Graph Matching for Efficient Face Recognition
CVPRW '06 Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
Face Description with Local Binary Patterns: Application to Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
The CSU face identification evaluation system: its purpose, features, and structure
ICVS'03 Proceedings of the 3rd international conference on Computer vision systems
Face recognition from video using the generic shape-illumination manifold
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
Person spotting: video shot retrieval for face sets
CIVR'05 Proceedings of the 4th international conference on Image and Video Retrieval
Invariance properties of Gabor filter-based features-overview and applications
IEEE Transactions on Image Processing
Proceedings of the 15th international conference on Multimedia
Eye localization for face matching: is it always useful and under what conditions?
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Eye localization in low and standard definition content with application to face matching
Computer Vision and Image Understanding
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The ability to match faces in video is a crucial component for many multimedia applications such as searching and recognizing people in semantic video browsing, surveillance and home video management systems. Unfortunately, most face matching methods were designed for and tested on frontal face images only, which does not comply with the professional and home video scenarios. In video, faces appear at different poses and scales, and the image quality may vary as well. In this paper we analyzed to what extent well-known face matching methods are suitable for matching faces in video. We performed a comparison between the local method Elastic Bunch Graph Matching, the global approaches principle component analysis (PCA) and PCA with linear discriminant analysis (PCA+LDA). The outcome of this study is that while in cases of small face pose variations Elastic Bunch Graph Matching works slightly better, for large face pose variations the global methods provide better performance.