Limits...
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.

Show MeSH

Related in: MedlinePlus

A systematic overview of the remote dynamic scene reconstruction system.
© Copyright Policy
Related In: Results  -  Collection


getmorefigures.php?uid=PMC3646941&req=5

pone-0055586-g001: A systematic overview of the remote dynamic scene reconstruction system.

Mentions: However, as shown in Figure 1, for the case of capturing scene remotely and dynamically for depth reconstruction, the color video has to be compressed at the encoder side, and therefore the decoding at the terminal side has to face dramatic compression loss. If directly applying the existing propagation based methods on the decoded color video, the accuracy of depth propagation and reconstruction is doom to be significantly degenerated because of the large compression ratio, especially when the transmission bandwidth is limited. Therefore, it is a fundamental problem to propagate the depth of the dynamic scene from the reconstructed color video bitstream to reinforce each other. However, such an emerging topic retains unexploited so far.


Remote dynamic three-dimensional scene reconstruction.

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

A systematic overview of the remote dynamic scene reconstruction system.
© Copyright Policy
Related In: Results  -  Collection

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

pone-0055586-g001: A systematic overview of the remote dynamic scene reconstruction system.
Mentions: However, as shown in Figure 1, for the case of capturing scene remotely and dynamically for depth reconstruction, the color video has to be compressed at the encoder side, and therefore the decoding at the terminal side has to face dramatic compression loss. If directly applying the existing propagation based methods on the decoded color video, the accuracy of depth propagation and reconstruction is doom to be significantly degenerated because of the large compression ratio, especially when the transmission bandwidth is limited. Therefore, it is a fundamental problem to propagate the depth of the dynamic scene from the reconstructed color video bitstream to reinforce each other. However, such an emerging topic retains unexploited so far.

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