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

Research output: Contribution to journalConference articlepeer-review

2 Citations (Scopus)


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.

Original languageEnglish
Article number6974594
Pages (from-to)4162-4166
Number of pages5
JournalConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Issue numberJanuary
Publication statusPublished - 2014
Event2014 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2014 - San Diego, United States
Duration: 2014 Oct 52014 Oct 8


  • Depth
  • Digital camera
  • Distance measurement
  • Image-based measuring systems
  • Pixel
  • SURF
  • Speeded Up robust features

ASJC Scopus subject areas

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


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