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Remote dynamic three-dimensional scene reconstruction.

Yang Y, Liu Q, Ji R, Gao Y - PLoS ONE (2013)

Bottom Line: However, in most of the remote transmission systems, only the compressed color video stream is available.Our method rectifies the inaccurate motion vectors by analyzing and compensating their quality losses, motion vector absence in spatial prediction, and dislocation in near-boundary region.This rectification ensures the depth maps can be compensated in both video-rate and high resolution at the terminal side towards reducing the system consumption on both the compression and transmission.

View Article: PubMed Central - PubMed

Affiliation: Department of Electronics and Information Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, China.

ABSTRACT
Remote dynamic three-dimensional (3D) scene reconstruction renders the motion structure of a 3D scene remotely by means of both the color video and the corresponding depth maps. It has shown a great potential for telepresence applications like remote monitoring and remote medical imaging. Under this circumstance, video-rate and high resolution are two crucial characteristics for building a good depth map, which however mutually contradict during the depth sensor capturing. Therefore, recent works prefer to only transmit the high-resolution color video to the terminal side, and subsequently the scene depth is reconstructed by estimating the motion vectors from the video, typically using the propagation based methods towards a video-rate depth reconstruction. However, in most of the remote transmission systems, only the compressed color video stream is available. As a result, color video restored from the streams has quality losses, and thus the extracted motion vectors are inaccurate for depth reconstruction. In this paper, we propose a precise and robust scheme for dynamic 3D scene reconstruction by using the compressed color video stream and their inaccurate motion vectors. Our method rectifies the inaccurate motion vectors by analyzing and compensating their quality losses, motion vector absence in spatial prediction, and dislocation in near-boundary region. This rectification ensures the depth maps can be compensated in both video-rate and high resolution at the terminal side towards reducing the system consumption on both the compression and transmission. Our experiments validate that the proposed scheme is robust for depth map and dynamic scene reconstruction on long propagation distance, even with high compression ratio, outperforming the benchmark approaches with at least 3.3950 dB quality gains for remote applications.

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Related in: MedlinePlus

Framework of our proposed scheme for video-rate depth reconstruction via compression information in compressed color video bitstream.
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pone-0055586-g002: Framework of our proposed scheme for video-rate depth reconstruction via compression information in compressed color video bitstream.

Mentions: In this work, we propose a scheme for remote reconstruction of dynamic 3D scenes based on the compression information in the compressed color video stream. The flowchart of the proposed scheme is shown in Figure 2. In this scheme, the compression information, including the prediction mode and MVs, is extracted from the color video stream. Then, the MV outliers will be detected and rectified to assure the obtained MVs are correct for the temporal propagation based depth reconstruction. After that, for the Intra block without MVs, the spatial propagation which utilizes the Intra mode information is proposed to generate the absent MVs. Furthermore, to improve the quality of dynamic scene reconstruction, a specific algorithm is designed for boundary enhancement on depth map.


Remote dynamic three-dimensional scene reconstruction.

Yang Y, Liu Q, Ji R, Gao Y - PLoS ONE (2013)

Framework of our proposed scheme for video-rate depth reconstruction via compression information in compressed color video bitstream.
© Copyright Policy
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC3646941&req=5

pone-0055586-g002: Framework of our proposed scheme for video-rate depth reconstruction via compression information in compressed color video bitstream.
Mentions: In this work, we propose a scheme for remote reconstruction of dynamic 3D scenes based on the compression information in the compressed color video stream. The flowchart of the proposed scheme is shown in Figure 2. In this scheme, the compression information, including the prediction mode and MVs, is extracted from the color video stream. Then, the MV outliers will be detected and rectified to assure the obtained MVs are correct for the temporal propagation based depth reconstruction. After that, for the Intra block without MVs, the spatial propagation which utilizes the Intra mode information is proposed to generate the absent MVs. Furthermore, to improve the quality of dynamic scene reconstruction, a specific algorithm is designed for boundary enhancement on depth map.

Bottom Line: However, in most of the remote transmission systems, only the compressed color video stream is available.Our method rectifies the inaccurate motion vectors by analyzing and compensating their quality losses, motion vector absence in spatial prediction, and dislocation in near-boundary region.This rectification ensures the depth maps can be compensated in both video-rate and high resolution at the terminal side towards reducing the system consumption on both the compression and transmission.

View Article: PubMed Central - PubMed

Affiliation: Department of Electronics and Information Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, China.

ABSTRACT
Remote dynamic three-dimensional (3D) scene reconstruction renders the motion structure of a 3D scene remotely by means of both the color video and the corresponding depth maps. It has shown a great potential for telepresence applications like remote monitoring and remote medical imaging. Under this circumstance, video-rate and high resolution are two crucial characteristics for building a good depth map, which however mutually contradict during the depth sensor capturing. Therefore, recent works prefer to only transmit the high-resolution color video to the terminal side, and subsequently the scene depth is reconstructed by estimating the motion vectors from the video, typically using the propagation based methods towards a video-rate depth reconstruction. However, in most of the remote transmission systems, only the compressed color video stream is available. As a result, color video restored from the streams has quality losses, and thus the extracted motion vectors are inaccurate for depth reconstruction. In this paper, we propose a precise and robust scheme for dynamic 3D scene reconstruction by using the compressed color video stream and their inaccurate motion vectors. Our method rectifies the inaccurate motion vectors by analyzing and compensating their quality losses, motion vector absence in spatial prediction, and dislocation in near-boundary region. This rectification ensures the depth maps can be compensated in both video-rate and high resolution at the terminal side towards reducing the system consumption on both the compression and transmission. Our experiments validate that the proposed scheme is robust for depth map and dynamic scene reconstruction on long propagation distance, even with high compression ratio, outperforming the benchmark approaches with at least 3.3950 dB quality gains for remote applications.

Show MeSH
Related in: MedlinePlus