Depth from defocusing using a neural network
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摘要
This paper presents a technique for obtaining the distance of a step edge from the lens of a camera using a single defocused image of that edge. The proposed technique does not suffer from the correspondence and occlusion problems associated with methods based on multiple images. The technique employs a Multi-Layer Perceptron network trained by backpropagation to compute distances from derivative images of blurred edges. The paper gives experimental results which clearly show the accuracy of the proposed technique.
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论文评审过程:Received 22 September 1997, Available online 7 June 2001.
论文官网地址:https://doi.org/10.1016/S0031-3203(98)00055-7