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Multimodal Stereo Vision Using Mutual Information with Adaptive Windowing
Date
2013-05-23
Author
Yaman, Mustafa
Kalkan, Sinan
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This paper proposes a method for computing disparity maps from a multimodal stereovision system composed of an infrared and a visible camera pair. The method uses mutual information (MI) as the basic similarity measure where a segmentation-based adaptive windowing mechanism is proposed for greatly enhancing the results. On several datasets, we show that (i) our proposal improves the quality of existing MI formulation, and (ii) our method can provide depth comparable to the quality of Kinect depth data.
URI
https://hdl.handle.net/11511/73993
http://www.mva-org.jp/Proceedings/2013USB/papers/11-02.pdf
Conference Name
International IAPR Conference on Machine Vision and Applications (2013)
Collections
Department of Basic English, Conference / Seminar
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M. Yaman and S. Kalkan, “Multimodal Stereo Vision Using Mutual Information with Adaptive Windowing,” Kyoto, Japonya, 2013, vol. 1, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/73993.