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Total variation-based dense depth from multicamera array
(Society of Photo-optical Instrumentation Engineers (SPIE), 2018-05-20)
Multicamera arrays are increasingly employed in both consumer and industrial applications, and various passive techniques are documented to estimate depth from such camera arrays. Current depth estimation methods provide ...
Semiparallel deep neural network hybrid architecture: first application on depth from monocular camera
(Society of Photo-optical Instrumentation Engineers (SPIE), 2018-08-07)
Deep neural networks have been applied to a wide range of problems in recent years. Convolutional neural network is applied to the problem of determining the depth from a single camera image (monocular depth). Eight different ...
Application of preconditioned alternating direction method of multipliers in depth from focal stack
(Society of Photo-optical Instrumentation Engineers (SPIE), 2018-04-06)
Postcapture refocusing effect in smartphone cameras is achievable using focal stacks. However, the accuracy of this effect is totally dependent on the combination of the depth layers in the stack. The accuracy of the ...
Latent space mapping for generation of object elements with corresponding data annotation
(Elsevier, 2018-10-25)
Deep neural generative models such as Variational Auto-Encoders (VAE) and Generative Adversarial Networks (GAN) give promising results in estimating the data distribution across a range of machine learning fields of ...