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A novel face tracking algorithm is proposed which is less insensitive to large face appearance variation caused by lighting and viewpoints. The proposed dynamic face appearance model includes an illumination invariant pose manifold to represent the pose nonlinearity and an object-specific incremental multi-pose face model. The pose manifold is built with the patch alignment algorithm, where the tensor...
In order to mimic the representation of textual documents, some approaches have recently been proposed to represent visual contents in terms of visual words in many applications such as object recognition and image annotation. In this paper, we propose to build an effective visual vocabulary by using Hierarchical Gaussian Mixture model instead of traditional clustering methods. In addition, Probabilistic...
As sole feature extraction method cannot reflect comprehensive face emotional information in expression recognition, this article proposes one kind expression recognition method based on VLBP and optical flow mixed features. In this method, firstly it extracts block vlbp features of eye region. Then it detects feature points of mouth region automatically and extracts optical flow feature vector of...
The traditional binary phase-only matched filter (BPOF) has a great loss of information and difficulty in recognition in hybrid photoelectric image matching system, and ternary amplitude-phase filter (TAPF) is proposed here to try to solve these problems. We carried out computer simulation of infrared scene matching and compared the performances of TAPF, BPOF and ACMF. Experiment results show that...
This paper describes how to construct a hyper-graph model from a large corpus of multi-view images using local invariant features. We commence by representing each image with a graph, which is constructed from a group of selected SIFT features. We then propose a new pairwise clustering method based on a graph matching similarity measure. The positive example graphs of a specific class accompanied...
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