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Reconstruction of 3-Dimensional Scenes Using Depth from Defocus and Artificial Neural Networks Trained on Fractals

2017; Springer Nature; Linguagem: Inglês

10.1007/978-3-319-60618-7_13

2194-5357

K. Paul Joseph, Alex Noel Joseph Raj,

Cell Image Analysis Techniques

This paper demonstrates how multi-layered neural networks can be used to obtain the relative depth variation of textured scenes. The system employed makes use of two differently focused images taken by a tele-centric imaging setup. The relative variation of blur of corresponding regions in the two images was used to calculate the relative depth. The neural network is used to predict the degree to which a particular region is blurred. To make the neural network predict blur irrespective of the texture of the scene, it was trained on highly textured fractal images.