In this paper, we propose a novel framework using the combination of SIFT and alignment error (SIFT-AE) to perform pose invariant face recognition. SIFT (Scale ...
Pose unconstrained face recognition based on SIFT and alignment ...
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In this paper, we propose a novel framework using the combination of SIFT and alignment error (SIFT-AE) to perform pose invariant face recognition. SIFT (Scale ...
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Jan 24, 2017 · Pose unconstrained face recognition based on SIFT and alignment error. Article. Jan 2015. Yongbin Gao · Hyo Jong Lee.
'Chehra' face detector algorithm performs well in extremely wild conditions, where there are lots of pose variations. It is based on SIFT features. The faces ...
Handling pose changes is an especially challenging task. In this paper, we propose the learning warps based similarity method to deal with face recognition ...
The Affine SIFT algorithm tries to detect affine invariant local descriptors with the purpose of increasing the capacity of dealing with a significant pose.
Learning a Sparse Representation from Multiple Still Images for On ...
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This paper presents a new approach to on-line face identification from multiple still images obtained under such unconstrained conditions. Our method learns a ...
Nov 1, 2015 · In this paper, we propose a novel algorithm based on multiple virtual views and alignment error (MVV–AE) for face recognition under large pose ...
Oct 5, 2008 · This study analyzes four face recognition methods that are based on different representations of the image: (1) LBP Histograms, (2) Gabor Jet ...
We present an algorithm for unconstrained face verifi- cation using Fisher vectors computed from frontalized off- frontal gallery and probe faces.
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