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This paper presents a general texture mapping framework for image-based 3D modeling. It aims to generating seamless texture map for 3D model created by real-world photos under uncontrolled environment. Our proposed method addresses two challenging problems: 1) texture discontinuity due to system error in 3D modeling from self-calibration; 2) color/lighting difference among images due to real-world...
Local binary pattern histogram (LBPH) is one of the popular and excellent image texture descriptor. However, conventional LBPH lacks of the description of spatial structure information. This paper proposes an extension of LBPH called Markov chain local binary patterns (MCLBP) to alleviate this limitation. We apply MCLBP to the task of TRECVID video concept detection. Experimental results demonstrate...
Detection of salient moving object has great potentials in activity recognition, scene understanding, etc. However techniques to characterizing the object in fine granularity have not been well developed in real applications due to the computational intensity. The emerging multi-core technology in hardware design provides an opportunity for the compute intensive algorithms to boost speed in parallel...
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