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Merging Static and Dynamic Depth Cues with Optical-Flow Recovery for Creating Stereo Videos

机译:将静态和动态深度提示与光流恢复合并以创建立体声视频

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摘要

A method for estimating the depth information of a general monocular image sequence and then creating a 3D stereo video is proposed. Distinguishing between foreground and background is possible without additional information, and then foreground pixels are moved to create the binocular image. The proposed depth estimation method is based on coarse-to-fine strategy. By applying the CID method in the spatial domain, the sharpness and the contrast of an image can be improved by the distance of the region based on its color. Then a coarse depth map of the image can be generated. An optical-flow method based on temporal information is then used to search and compare the block motion status between previous and current frames, and then the distance of the block can be estimated according to the amount of block motion. Finally, the static and motion depth information is integrated to create the fine depth map. By shifting foreground pixels based on the depth information, a binocular image pair can be created. A sense of 3D stereo can be obtained without glasses by an autostereoscopic 3D display.
机译:提出了一种估计一般单眼图像序列的深度信息然后创建3D立体视频的方法。无需附加信息即可在前景和背景之间进行区分,然后将前景像素移动以创建双目图像。提出的深度估计方法是基于从粗到精的策略。通过在空间域中应用CID方法,可以基于图像颜色通过区域的距离来提高图像的清晰度和对比度。然后可以生成图像的粗略深度图。然后使用基于时间信息的光流方法来搜索和比较先前帧与当前帧之间的块运动状态,然后可以根据块运动的量来估计块的距离。最后,将静态和运动深度信息集成在一起以创建精细深度图。通过基于深度信息移动前景像素,可以创建双目图像对。无需戴眼镜就可以通过自动立体3D显示器获得3D立体感。

著录项

  • 来源
    《Mathematical Problems in Engineering》 |2013年第6期|725301.1-725301.12|共12页
  • 作者

    Fang-Hsuan Cheng; Tze-Yun Sung;

  • 作者单位

    Department of Computer Science and Information Engineering, Chung Hua University, Hsinchu City 300-12, Taiwan;

    Department of Electronics Engineering, Chung Hua University, Hsinchu City 300-12, Taiwan;

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  • 正文语种 eng
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