Stereo matching technique based on the perceptron criterion function

Abstract Classical stereo matching techniques use features representing objects in both images and compute the minimum difference attribute values. No knowledge of the environment is taken into account. This paper proposes an image understanding stereo matching method using a supervised networks: the perceptron.

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