- Volume 11 Issue 12
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A Study of Depth Estimate using GPGPU in Monocular Image
GPGPU를 이용한 단일 영상에서의 깊이 추정에 관한 연구
- Yoo, Tae Hoon (Graduate School, Kwang Woon University) ;
- Lee, Gang Seong (Dept. of General Education, Kwang Woon University) ;
- Park, Young Soo (Dept. of General Education, Kwang Woon University) ;
- Lee, Jong Yong (Dept. of General Education, Kwang Woon University) ;
- Lee, Sang Hun (Dept. of General Education, Kwang Woon University)
- Received : 2013.10.16
- Accepted : 2013.12.20
- Published : 2013.12.28
In this paper, a depth estimate method is proposed using GPU(Graphics Processing Unit) in monocular image. a monocular image is a 2D image with missing 3D depth information due to the camera projection and we used a monocular cue to recover the lost depth information by the projection present. The proposed algorithm uses an energy function which takes a variety of cues to create a more generalized and reliable depth map. But, a processing time is late because energy function is defined from the various monocular cues. Therefore, we propose a depth estimate method using GPGPU(General Purpose Graphics Processing Unit). The objective effectiveness of the algorithm is shown using PSNR(Peak Signal to Noise Ratio), a processing time is decrease by 61.22%.
GPGPU;Monocular Cue;Depth Extraction;Energy Minimization;Markov Random Field
Supported by : 광운대학교
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