Proceedings ArticleDOI
On rank aggregation for face recognition from videos
Himanshu Bhatt,Richa Singh,Mayank Vatsa +2 more
- pp 2993-2997
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TLDR
A video based face recognition algorithm that computes a discriminative video signature as an ordered list of still face images to facilitate matching two videos with large variations is presented.Abstract:
Face recognition from still face images suffers due to intrapersonal variations caused by pose, illumination, and expression that degrade the performance. On the other hand, videos provide abundant information that can be leveraged to compensate the limitations of still face images and enhance face recognition performance. This paper presents a video based face recognition algorithm that computes a discriminative video signature as an ordered list of still face images. The video signature embeds diverse intra-personal and temporal variations across multiple frames, thus facilitates matching two videos with large variations. Two videos are matched by comparing their discriminative signatures using the Kendall tau similarity distance measure. Performance comparison with the benchmark results and a commercial face recognition system on the publicly available YouTube faces database show the efficacy of the proposed video based face recognition algorithm.read more
Citations
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Journal ArticleDOI
Ranking, clustering and fusing the normalized LBP temporal facial features for face recognition in video sequences
P. Ithaya Rani,T. Hari Prasath +1 more
TL;DR: A novel approach for recognizing faces in videos with high recognition rate that embeds diverse intra-personal variations such as poses, expressions and facilitates in matching two videos with large variations and exhibits significant performance improvement when compared with the existing techniques.
Journal ArticleDOI
Rank level fusion of multimodal biometrics using genetic algorithm
TL;DR: A novel genetic algorithm (GA) based method is proposed for rank level fusion of multimodal biometrics that minimizes the distances between an aggregated rank list and each input rank list being derived from individual biometric trait.
Journal ArticleDOI
Fusing the facial temporal information in videos for face recognition
TL;DR: This study proposes a novel approach for video-based face recognition due to the availability of large intra-personal variations based on the normalised semi-local binary patterns obtained for the face region.
Journal ArticleDOI
Misclassified Samples based Hierarchical Cascaded Classifier for Video Face Recognition
TL;DR: Wang et al. as discussed by the authors proposed a hierarchical cascaded classifier for video face recognition, which is a multi-layer algorithm and accounts for the misclassified samples plus their similar samples.
References
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Proceedings ArticleDOI
Rank aggregation methods for the Web
TL;DR: A set of techniques for the rank aggregation problem is developed and compared to that of well-known methods, to design rank aggregation techniques that can be used to combat spam in Web searches.
BookDOI
Handbook of Face Recognition
Stan Z. Li,Anil K. Jain +1 more
TL;DR: This highly anticipated new edition provides a comprehensive account of face recognition research and technology, spanning the full range of topics needed for designing operational face recognition systems, as well as offering challenges and future directions.
Proceedings ArticleDOI
Face recognition in unconstrained videos with matched background similarity
Lior Wolf,Tal Hassner,Itay Maoz +2 more
TL;DR: A comprehensive database of labeled videos of faces in challenging, uncontrolled conditions, the ‘YouTube Faces’ database, along with benchmark, pair-matching tests are presented and a novel set-to-set similarity measure, the Matched Background Similarity (MBGS), is described.