Dense depth maps from motion using dynamic data fusion
Dense depth maps from motion using dynamic data fusion
- Author(s): M. Corbatto ; S. Tinonin ; E. Trucco ; V. Roberto
- DOI: 10.1049/cp:19950639
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- Author(s): M. Corbatto ; S. Tinonin ; E. Trucco ; V. Roberto Source: Fifth International Conference on Image Processing and its Applications, 1995 p. 153 – 157
- Conference: Fifth International Conference on Image Processing and its Applications
- DOI: 10.1049/cp:19950639
- ISBN: 0 85296 642 3
- Location: Edinburgh, UK
- Conference date: 4-6 July 1995
- Format: PDF
This paper concentrates on the estimation of dense depth maps from sequences of frames acquired by a sensor in controlled motion. It addresses the computation of optic flows at each instant as well as the dynamic fusion of estimates in time via Kalman filtering. Examples of experimental tests are included.
Inspec keywords: sensor fusion; filtering theory; image sequences; motion estimation; Kalman filters
Subjects: Optical information, image and video signal processing; Pattern recognition
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