Adaptive stereo similarity fusion using confidence measures

Computer Vision and Image Understanding, pp. 95-108, 2015.

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Abstract:

We propose similarity fusion strategy based on stereo confidences.We propose a consensus strategy to exploit spatial correlation between pixels.Our fusion increases the accuracy of global and local stereo algorithms.We out-perform other fusion strategies. In most stereo-matching algorithms, stereo similarity measures are used to determine...More

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