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This paper proposes novel methods for detecting and separating smoke from a single image frame. Specifically, an image formation model is derived based on the atmospheric scattering models. The separation of a frame into quasi-smoke and quasi-background components is formulated as convex optimization that solves a sparse representation problem using dual dictionaries for the smoke and background components,...
Product reviews can direct consumers' purchasing behavior and sellers' marketing strategy. Therefor, in this paper, we propose a novel method which combines lexicon-based and learn-based techniques in order to solve cross-domain sentiment analysis of product reviews. We first create three domain lexicons based on the basic lexicon and corpus from three domains containing book, hotel and electronics...
In this paper, based on manifold harmonics, we propose a novel framework for 3D shape similarity comparison and partial matching. First, we propose a novel symmetric mean-value representation to robustly construct high-quality manifold harmonic bases on nonuniform-sampling meshes. Then, based on the manifold harmonic bases constructed, a novel shape descriptor is presented to capture both of global...
Straight-line intersection point detection plays an important role in machine vision and video analysis. For the actual problem including multi-line point, implicit point, local feature point rapid detection, the paper gives a Straight-line intersection detection method based on the Hough parameter space curve fitting. This method use the duality principle of Hough line detection, least squares sine...
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