Search Results for author: David Casillas-Perez

Found 6 papers, 1 papers with code

Deep Shape-from-Template: Wide-Baseline, Dense and Fast Registration and Deformable Reconstruction from a Single Image

no code implementations19 Nov 2018 David Fuentes-Jimenez, David Casillas-Perez, Daniel Pizarro, Toby Collins, Adrien Bartoli

Compared to previous non-DNN SfT methods, it does not involve numerical optimization at run-time, and is a dense, wide-baseline solution that does not demand, and does not suffer from, feature-based matching.

3D Reconstruction Object

Solutions of Quadratic First-Order ODEs applied to Computer Vision Problems

no code implementations11 Oct 2017 David Casillas-Perez, Daniel Pizarro, Manuel Mazo, Adrien Bartoli

It is an important problem as it does not need initial conditions to obtain the unique solution and its the frequent solution that practical algorithms of the state-of-the-art give.

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