Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)
- 2000.07b
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- Pages.898-901
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- 2000
Noise Reduction Approach of Nonlinear Function for a Range Image using 2-D Kalman Filtering Method
- Katayama, Jun (College of Science & Technology, Nihon University) ;
- Sekin, Yoshifumi (College of Science & Technology, Nihon University)
- Published : 2000.07.01
Abstract
A new 2-D block Kalman filtering method which uses a nonlinear function is presented to generate a more accurate filtered estimate of a range image that has been corrupted by additive noise. Novel 2-D block Kalman filtering method is constructed of the conventional method and nonlinear function which utilizes to control estimation error. We show that novel 2-D Kalman filtering method using a nonlinear function is effective at reducing the additive noise, not distorting shape edges.
Keywords