Multi-View Stereo Video Based on Fusion and Eye-Tracking
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    Abstract:

    As multi-view stereo video has some new characteristics, such as massive volumes of data, high-demand in the velocity of transition, limited 3D view fields supported. These problems have not been well-solved and blocked the industrialization of multi-view stereo video technology. In view of this, this paper proposes a method of multi-view stereo video transition and display based on an image fusion algorithm and eye-tracking. First, we capture each frame from the original video, then, we use an image fusion algorithm, process each frame of the multi-view stereo video and output the frames at the original rate. At the same time, we use eye-tracking, which effectively enlarged the stereo view field. Experimental results show that the Two-dimension views image can be shown on the stereoscopic display in a 3D way. It could transmit the video smoothly and effectively while computing and eye-tracking. It could bring the viewers three-dimensional feelings when watching.

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金诗玮,杨青,李建军.结合图像融合算法与人眼跟踪的立体视频.计算机系统应用,2014,23(9):112-117

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History
  • Received:January 09,2014
  • Revised:March 24,2014
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  • Online: September 18,2014
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