| Autor: |
Kang, Yun-Suk, Ho, Yo-Sung |
| Zdroj: |
2013 Asia-Pacific Signal & Information Processing Association Annual Summit & Conference; 2013, p1-4, 4p |
| Abstrakt: |
In this paper, we propose an efficient up-sampling method of the low-resolution depth map that is obtained by a time-of-flight (TOF) depth sensor. After we capture the color images and TOF depth maps simultaneously using a fusion camera system, each pixel of the low-resolution depth map is relocated to the corresponding color image positions by 3D warping, and the warping error is eliminated in each color segment. Then, we employ a Markov random field (MRF) model to produce a high-resolution disparity map using the warped values and color segment information. Experimental results show that the proposed method efficiently up-sample the low-resolution depth maps compared to the other up-sampling approaches. [ABSTRACT FROM PUBLISHER] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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