Object-based Conversion of 2D Image to 3D 


Vol. 36,  No. 9, pp. 555-563, Sep.  2011


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  Abstract

In this paper, we propose an object based 2D image to 3D conversion algorithm by using motion estimation, color labeling and non-local mean filtering methods. In the proposed algorithm, we first extract the motion vector of each object by estimating the motion between frames and then segment a given image frame with color labeling method. Then, combining the results of motion estimation and color labeling, we extract object regions and assign an exact depth value to each object to generate the right image. While generating the right image, occlusion regions occur but they are effectively recovered by using non-local mean filter. Through the experimental results, it is shown that the proposed algorithm performs much better than conventional conversion scheme by removing the eye fatigue effectively.

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  Cite this article

[IEEE Style]

W. Lee, K. Kang, J. Yoo, "Object-based Conversion of 2D Image to 3D," The Journal of Korean Institute of Communications and Information Sciences, vol. 36, no. 9, pp. 555-563, 2011. DOI: .

[ACM Style]

Wang-Ro Lee, Keun-Ho Kang, and Jisang Yoo. 2011. Object-based Conversion of 2D Image to 3D. The Journal of Korean Institute of Communications and Information Sciences, 36, 9, (2011), 555-563. DOI: .

[KICS Style]

Wang-Ro Lee, Keun-Ho Kang, Jisang Yoo, "Object-based Conversion of 2D Image to 3D," The Journal of Korean Institute of Communications and Information Sciences, vol. 36, no. 9, pp. 555-563, 9. 2011.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880