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http://dx.doi.org/10.5762/KAIS.2013.14.8.3983

Hybrid census transform considering gaussian noise and computational complexity  

Jeong, Seong-Hwan (Department of Electronics and Communication Engineering, Korea University of Technology and Education)
Kang, Sung-Jin (Department of Electronics and Communication Engineering, Korea University of Technology and Education)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.14, no.8, 2013 , pp. 3983-3991 More about this Journal
Abstract
Census transform is one of the stereo vision methods which is robust to radiometric distortion and illuminance change. This paper proposes a hybrid census transform using the mini census transform and the generalized census transform concurrently. This method uses simplicity of mini census transform and noise feature of generalized census transform together. This paper performed stereo matching containing post processing to evaluate each methods. The result shows that hybrid census transform has similar performance to generalized census transform and mean value of calculation complexity between mini census transform and generalized census transform.
Keywords
Census transform; Generalized census; Hybrid census; Mini census; Stereo matching;
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