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Change blindness refers to human inability to recognize large visual changes between images. In this paper, we present the first computational model of change blindness to quantify the degree of blindness between an image pair. It comprises a novel context-dependent saliency model and a measure of change, the former dependent on the site of the change, and the latter describing the amount of change...
Based on the adoption of dependency grammar to analyze the structure of Chinese sentences, this paper suggests to analyze Chinese sentence with semantic dependency method. The correlation between words and phrases can be gotten by way of analysis and calculation of the similarity between the words and phrases from Hownet, and then the formula to analyze the similarity between sentences can be designed...
In this paper, we propose an improved method for recovering 3D facial shape from a single image. We use level set method to solve the Eikonal equation obtained from the method of shape from shading (SFS). However, the results are not usually usable due to the concave-convex ambiguity problems inherent to SFS. In order to overcome the concave-convex ambiguities of SFS, we find out the boundary of the...
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