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The joint Bayesian method is an effective method for face verification. However, it is insufficient distinguishability for this method to calculate the similarity between different samples. To address this problem, in this paper, we proposed an improved similarity metric based on joint Bayesian for face verification. The proposed method defines two novel similarities for two samples based on joint...
Content authoring is one of essentials of Augmented Reality (AR), which is to emplace an augmented content on a true part of a real scene in order to enhance users' visual experience. For the case of street view single 2D images, the challenge emerges because of clutter environments and unknown position and orientation related to camera pose. Although existing methods based on 2D feature point matching...
People counting is a topic with various practical applications. Over the last decade, two general approaches have been proposed to tackle this problem: a) counting based on individual human detection; b)counting by measuring regression relation between the crowd density and number of people. Because the regression based method can avoid explicit people detection which faces several well-known challenges,...
Face recognition has found its usage in various domains like video surveillance and human computer interaction. Current face recognition technique is enslaved to unknown pose of the given face image. This paper proposes a novel approach to pose-invariant face recognition. In the training phase, the SIFT feature descriptors of the sample images are extracted, then an image manifold is constructed using...
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