no code implementations • 11 May 2022 • Laura Goncalves Ribeiro, Olli J. Suominen, Philip Bates, Sari Peltonen, Emilio Ruiz Morales, Atanas Gotchev
Retro reflective markers can remarkably aid photogrammetry tasks in challenging visual environments.
no code implementations • 2 Apr 2022 • Yuta Miyanishi, Erdem Sahin, Atanas Gotchev
With the model, we simulated the retinal point spread function (PSF) of a point rendered by an LF display at various depths to characterise the retinal image quality.
no code implementations • 1 Apr 2022 • Ihtisham Ali, Sari Peltonen, Atanas Gotchev
As a result, most of the methods fail in the absence of a significantly similar overlap of perspectives.
no code implementations • 20 Mar 2020 • Yuan Gao, Robert Bregovic, Atanas Gotchev
Specifically, CycleST is composed of an encoder-decoder network and a residual learning strategy that restore the shearlet coefficients of densely-sampled EPIs using EPI reconstruction and cycle consistency losses.
Signal Processing Multimedia Image and Video Processing
no code implementations • 19 Mar 2020 • Yuan Gao, Robert Bregovic, Reinhard Koch, Atanas Gotchev
Specifically, for an input sparsely-sampled EPI, DRST employs a deep fully Convolutional Neural Network (CNN) to predict the residuals of the shearlet coefficients in shearlet domain in order to reconstruct a densely-sampled EPI in image domain.
no code implementations • 31 Dec 2019 • Ugur Akpinar, Erdem Sahin, Monjurul Meem, Rajesh Menon, Atanas Gotchev
Depth of field is an important factor of imaging systems that highly affects the quality of the acquired spatial information.
1 code implementation • 29 Sep 2015 • Suren Vagharshakyan, Robert Bregovic, Atanas Gotchev
In this article we develop an image based rendering technique based on light field reconstruction from a limited set of perspective views acquired by cameras.