Pose-and-illumination-invariant face representation via a triplet-loss trained deep reconstruction model
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DOI: 10.1007/s11042-017-4782-y
Abstract: Face recognition under variable pose and illumination is a challenging problem in computer vision tasks. In this paper, we solve this problem by proposing a new residual based deep face reconstruction neural network to extract… read more here.
Keywords: illumination; face; triplet loss; pose illumination ... See more keywords
Emotion Recognition from Facial Expressions using Images with Pose, Illumination and Age Variation for Human-Computer/Robot Interaction
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DOI: 10.5614/itbj.ict.res.appl.2018.12.1.2
Abstract: A technique for emotion recognition from facial expressions in images with simultaneous pose, illumination and age variation in real time is proposed in this paper. The basic emotions considered are anger, disgust, happy, surprise, and… read more here.
Keywords: real time; time; pose illumination; recognition ... See more keywords