In this paper, we propose a novel discriminant analysis method to learn separate mappings for different scenarios (still, video), and further pursue a common ...
In Still-to-Video (S2V) face recognition, only a few high resolution images are enrolled for each subject, while the probe is videos of complex variations.
ABSTRACT. In the Still-to-Video (S2V) face recognition, each subject is enrolled with only few high resolution images, while the probe is video clips of ...
Still-to-Video face recognition via weighted scenario oriented discriminant analysis · Scenario oriented discriminant analysis for still-to-video face ...
In this paper, we address the problem of still-to-video. (S2V) face recognition. Still images usually have high qual- ities, captured from cooperative users ...
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Benchmarking still-to-video face recognition via partial and local linear discriminant analysis on COX-S2V dataset. (2012). Proceedings of the 11th Asian ...
Sep 8, 2015 · In this paper, we address the problem of still-to-video (S2V) face recognition. Still images usually have high qualities, captured from ...
In this paper, we explore the real-world Still-to-Video (S2V) face recognition scenario, where only very few (single, in many cases) still images per person ...
Dynamic ensembles of exemplar-SVMs for still-to-video ...
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In this paper, an efficient multi-classifier system (MCS) is proposed for accurate still-to-video FR based on multiple face representations and domain ...
In this approach, a new learning-based face descriptor is first proposed to extract the common features from heterogeneous face images (infrared face images and ...