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Generation of high-quality depth maps using hybrid camera system for 3-D video

机译:使用混合摄像头系统生成3D视频的高质量深度图

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In this paper, we present a hybrid camera system combining one time-of-flight depth camera and multiple video cameras to generate multi-view video sequences and their corresponding depth maps. In order to obtain the multi-view video-plus-depth data using the hybrid camera system, we capture multi-view videos using multiple video cameras and a single view depth video with the depth camera. After performing a three-dimensional (3-D) warping operation to obtain an initial depth map at each viewpoint, we refine the initial depth map using segment-based stereo matching. To reduce mismatched depth values along object boundaries, we detect the moving objects using color difference between frames and extract occlusion and disocclusion areas with the initial depth information. Finally, we recompute the depth value of each pixel in each segment using pairwise stereo matching with a proposed cost function. Experimental results show that the proposed hybrid camera system produces multi-view video sequences with more accurate depth maps, especially along the boundary of objects. In addition, it is suitable for generating more natural 3-D views for 3-D TV than previous works.
机译:在本文中,我们提出了一种混合摄像头系统,该系统将一个飞行时间深度摄像头和多个视频摄像头组合在一起,以生成多视点视频序列及其对应的深度图。为了使用混合摄像头系统获取多视点视频和深度数据,我们使用多个摄像头捕获了多视点视频,并使用深度摄像头捕获了一个单视点深度视频。在执行三维(3-D)扭曲操作以获得每个视点的初始深度图之后,我们使用基于段的立体匹配来精简初始深度图。为了减少沿对象边界的深度值不匹配,我们使用帧之间的色差检测运动的对象,并使用初始深度信息提取遮挡和遮挡区域。最后,我们使用成对立体声匹配和拟议的成本函数,重新计算每个段中每个像素的深度值。实验结果表明,所提出的混合摄像机系统能够产生具有更精确深度图的多视点视频序列,尤其是沿着物体边界。此外,与以前的作品相比,它更适合为3D电视生成更自然的3D视图。

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