Enhanced motion cues for automatic depth extraction for 2D-to-3D video conversion

Gustavo Alves, Eduardo A. B. da Silva
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引用次数: 1

Abstract

In this paper we present two methods of depth extraction for 2D-to-3D video conversion. One for a scene captured with a static camera and other for the case of a moving camera, both using information from the motion present on the scene. In the first method, temporal difference, morphological operations and a region filling technique are used to segment the moving objects and define the foreground. Moreover, analysis of how the detected regions vary over nearby frames is applied to ensure the temporal consistency. For the regions corresponding to background, depth values are obtained merging information from linear perspective and texture characteristics. The second method is applied when a dynamic background is detected. It requires an input sequence encoded with H.264, so the motion information extracted from the compressed bitstream is used to assign depth values for the entire scene.
增强运动线索自动深度提取2d到3d视频转换
本文提出了两种用于二维到三维视频转换的深度提取方法。一个用于静态摄像机捕捉的场景,另一个用于移动摄像机的情况,两者都使用场景中存在的运动信息。在第一种方法中,使用时间差分、形态学操作和区域填充技术来分割运动目标并定义前景。此外,还分析了检测到的区域在附近帧之间的变化,以确保时间一致性。对于背景对应的区域,融合线性视角信息和纹理特征获取深度值。第二种方法在检测到动态背景时应用。它需要用H.264编码的输入序列,因此从压缩比特流中提取的运动信息用于为整个场景分配深度值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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