DocumentCode
3488152
Title
Spatial and temporal up-conversion technique for depth video
Author
Choi, Jinwook ; Min, Dongbo ; Ham, Bumsub ; Sohn, Kwanghoon
Author_Institution
Dept. of Electr. & Electron. Eng., Yonsei Univ., Seoul, South Korea
fYear
2009
fDate
7-10 Nov. 2009
Firstpage
3525
Lastpage
3528
Abstract
This paper proposes a novel framework for up-conversion of depth video resolution both in spatial and in time domain. Time-of-flight (TOF) sensors are widely used in computer vision fields. Although TOF sensors provide depth video in real time, there are some problems in a sense that it provides a low resolution and a low frame-rate depth video. We propose a cheaper solution that enhances depth video obtained by TOF sensor by combining it with CCD camera. The proposed method provides high quality video as a cheaper solution for low resolution, and low frame-rate depth video. It is useful when depth video is used in various applications such as 3DTV, free-view TV, teleconference system. High-quality depth video can be obtained by motion compensated frame interpolation (MCFI) and extended joint bilateral upsampling (JBU). Experimental results show that depth video obtained by the proposed method has satisfactory quality.
Keywords
computer vision; image enhancement; image resolution; image sensors; interpolation; motion compensation; sampling methods; time-domain analysis; video signal processing; CCD camera; computer vision fields; depth video enhancement; depth video resolution; extended joint bilateral upsampling; low frame-rate depth video; low resolution depth video; motion compensated frame interpolation; spatial domain; spatial up-conversion technique; temporal up-conversion technique; time domain; time-of-flight sensors; Charge coupled devices; Charge-coupled image sensors; Computational complexity; Computer vision; Costs; Image reconstruction; Interpolation; Motion estimation; Spatial resolution; Teleconferencing; CCD camera; Depth video; frame-rate; resolution; up-conversion;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location
Cairo
ISSN
1522-4880
Print_ISBN
978-1-4244-5653-6
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2009.5414081
Filename
5414081
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