Title :
3DTV depth map reconstruction based on structured light scheme
Author :
Yu-Cheng Fan ; Pin-Kang Huang ; De-Wei Shen
Author_Institution :
Dept. of Electron. Eng. & Grad. Inst. of Comput. & Commun. Eng., Nat. Taipei Univ. of Technol., Taipei, Taiwan
Abstract :
In this paper, we proposed an algorithm of 3DTV depth map reconstruction based on structured light scheme. We used a projector to project the structured light scheme pattern and captured the pattern by digital camera. After a series of edge extraction algorithm which contains bi-direction Sobel operator, morphology filter, edge thinning algorithm, pattern matching, and gradient calculation, we built the gradient database to convert gradient to physical distance to replace traditional complex triangulation algorithm. That is more efficient and accurate. In addition, we took humans´ perception into consideration. It not only output the physical distance depth map but also quantified it. Moreover, through DIBR technology, we perceived three-dimensional effects on 3D display.
Keywords :
computerised instrumentation; edge detection; filtering theory; gradient methods; image matching; image reconstruction; image sensors; image thinning; optical projectors; spatial variables measurement; three-dimensional displays; three-dimensional television; 3D display; 3DTV depth map reconstruction; DIBR technology; bidirection Sobel operator; complex triangulation algorithm; depth measurement; digital camera; edge extraction algorithm; edge thinning algorithm; gradient database calculation; human perception; morphology filter; pattern matching; physical distance depth map; projector; structured light scheme pattern; three-dimensional effect; 2D to 3D Conversion; Depth Map; Depth Measurement; Structure Light;
Conference_Titel :
Instrumentation and Measurement Technology Conference (I2MTC), 2013 IEEE International
Conference_Location :
Minneapolis, MN
Print_ISBN :
978-1-4673-4621-4
DOI :
10.1109/I2MTC.2013.6555532