We propose shiny analysis framework accompanied with makeup deterioration using normalized facial images (MaVIC and the corresponding makeup-deteriorated data sets). These images are analyzed and reconstructed based on principal component analysis (PCA) and then the differential ones between the reconstruction images with different numbers of PCA components can be generated. The shiny Eigen-fac...

The face is our primary focus of attention in social intercourse, playing a major role in conveying identity and emotion. We can recognize thousands of faces learned throughout our lifetime and identify familiar faces at a glance even after years of separation. This skill is quite robust, despite large changes in the visual stimulus due to viewing conditions, expression, aging, and distractions...

1 This paper is prepared for an internship program under the project of China Fishery Policy and WTO Accession/Implementation collaborated by the Chinese Academy of Fishery Sciences (CAFS) & the Centre for Trade Policy and Law (CTPL), Ottawa, Canada and financed by the Canadian International Development Agency (CIDA). The author wishes to acknowledge Wenguo Cai, a senior research associate at C...

Faces represent complex, multidimensional, meaningful visual stimuli and developing a computational model for face recognition is difficult [1]. In this paper we propose a new approach to detect the human faces quickly and efficiently by using Eigen faces technique along with ANN using resilient back propagation algorithm. In this process the face structure can be converted into Eigen values. T...

—In order to expand the application of virtual reality technology in network, game, agriculture, industry and other fields, the generation and reconstruction of virtual animation has been deeply studied. However, under the impact of virtual human randomness and human behavior collision, there are the challenges of reliability and real time in the virtual animation. First of all, the model of h...

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Expertise in processing differences among faces in the spacing among facial features (second-order relations) is slower to develop than expertise in processing the shape of individual features or the shape of the external contour. To determine the impact of the slow development of sensitivity to second-order relations on various face-processing skills, we developed five computerized tasks that ...

When attempting to code faces for modeling or recognition, estimates of dimensions are typically obtained from an ensemble. These tend to be significantly sub-optimal. Firstly, ensembles are rarely balanced with regard to identity and expression. This can be overcome by dividing the ensemble by type of variation and rotating sub-spaces relative to one another. Secondly, each face contains both ...