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A Study of Depth Estimate using GPGPU in Monocular Image

GPGPU를 이용한 단일 영상에서의 깊이 추정에 관한 연구

  • Received : 2013.10.16
  • Accepted : 2013.12.20
  • Published : 2013.12.28

Abstract

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%.

Keywords

GPGPU;Monocular Cue;Depth Extraction;Energy Minimization;Markov Random Field

Acknowledgement

Supported by : 광운대학교

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