Depth map building based on pixel number variation and SURF

Chen Chien Hsu, Po Ting Huang, Zhong Han Cai, Ming Chih Lu, Yin Yu Lu

研究成果: 雜誌貢獻Conference article

2 引文 斯高帕斯(Scopus)

摘要

This paper presents a method for depth measurement based on Speeded Up Robust Features (SURF) and pixel number variation of CCD Images. A single camera is used to capture two images in different photographing distances, where features in the images are extracted and matched by SURF. To remove false matching points, an Identifying point correspondences by Correspondence Function (ICF) method is adopted to automatically select suitable reference points required for the pixel number variation method. Based on the displacement of the camera at two photographing distances, difference in pixel count between feature points of the objects in the images can be used to determine the photographing distance of the target objects for constructing the depth map by linear interpolation.

原文英語
文章編號6974594
頁(從 - 到)4162-4166
頁數5
期刊Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
2014-January
發行號January
DOIs
出版狀態已發佈 - 2014 一月 1
事件2014 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2014 - San Diego, 美国
持續時間: 2014 十月 52014 十月 8

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Human-Computer Interaction

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