High dynamic depth range for 3D image capturing system

Yi-Pai Huang, Po Yuan Hsieh, Yong Ren Su, Han Ping D. Shieh

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


To detect the 3D depth information of objects in a deep scene is not so easy due to the limited depth of field (DoF) of cameras. In this paper, we proposed a 3D depth map capturing system with high dynamic depth range (HDDR). Unlike conventional extending depth of field (EDoF) method, the HDDR method will not deteriorate the image quality. By imitating an active tunable m × n lens array focusing on a sequential of imaging planes, each object in the scene would be clearly captured by at least three elemental lenses. We estimated the elemental depth maps by using the method depth from disparity individually, and then fused them into one all-in-focus depth map. Comparing with the conventional 3D cameras, the working range of HDDR system with 3x3 camera array can be extend from 90cm to 165cm.

Original languageEnglish
Title of host publicationThree-Dimensional Imaging, Visualization, and Display 2014
ISBN (Print)9781628410549
StatePublished - 1 Jan 2014
EventThree-Dimensional Imaging, Visualization, and Display 2014 - Baltimore, MD, United States
Duration: 5 May 20147 May 2014

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X


ConferenceThree-Dimensional Imaging, Visualization, and Display 2014
CountryUnited States
CityBaltimore, MD


  • 3D
  • Depth Map
  • HDDR
  • High Dynamic Depth Range
  • LC Lens Array
  • Liquid Crystal Lens Array

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