A Novel Segment Extraction and Stereo Matching Technique using Color, Motion and Initial Depth from Depth Camera 


Vol. 34,  No. 12, pp. 1147-1153, Dec.  2009


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  Abstract

We propose a novel image segmentation and segment-based stereo matching technique using color, depth, and motion information. Proposed technique firstly splits reference images into foreground region or background region using depth information from depth camera. Then each region is segmented into small segments with color information. Moreover, extracted segments in current frame are tracked in the next frame in order to maintain depth consistency between frames. The initial depth from the depth camera is also used to set the depth search range for stereo matching. Proposed segment-based stereo matching technique was compared with conventional one without foreground and background separation and other conventional one without motion tracking of segments. Simulation results showed that the improvement of segment extraction and depth estimation consistencies by proposed technique compared to conventional ones especially at the static background region.

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  Cite this article

[IEEE Style]

G. Um, J. Park, G. Bang, W. Cheong, N. Hur, J. Kim, "A Novel Segment Extraction and Stereo Matching Technique using Color, Motion and Initial Depth from Depth Camera," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 12, pp. 1147-1153, 2009. DOI: .

[ACM Style]

Gi-Mun Um, Jimin Park, Gun Bang, Won-Sik Cheong, Namho Hur, and Jinwoong Kim. 2009. A Novel Segment Extraction and Stereo Matching Technique using Color, Motion and Initial Depth from Depth Camera. The Journal of Korean Institute of Communications and Information Sciences, 34, 12, (2009), 1147-1153. DOI: .

[KICS Style]

Gi-Mun Um, Jimin Park, Gun Bang, Won-Sik Cheong, Namho Hur, Jinwoong Kim, "A Novel Segment Extraction and Stereo Matching Technique using Color, Motion and Initial Depth from Depth Camera," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 12, pp. 1147-1153, 12. 2009.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880