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In this paper we present the effect of depth quality on 3D video perception on autostereoscopic displays. This study was done using objective as well as subjective evaluation (using Phillips monitor). The goal of this work was to understand the impact of depth image quality and compression on the perceived 3D experience. Another objective is to evaluate the use of depth image quality as a measure...
This paper presents a novel background modeling and subtraction approach for video object segmentation. A neural network (NN) architecture is proposed to form an unsupervised Bayesian classifier for this application domain. The constructed classifier efficiently handles the segmentation in natural-scene sequences with complex background motion and changes in illumination. The weights of the proposed...
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