G
Guillermo Botella
Researcher at Complutense University of Madrid
Publications - 98
Citations - 1088
Guillermo Botella is an academic researcher from Complutense University of Madrid. The author has contributed to research in topics: Motion estimation & Optical flow. The author has an hindex of 15, co-authored 96 publications receiving 859 citations.
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Journal ArticleDOI
Robust Bioinspired Architecture for Optical-Flow Computation
Guillermo Botella,Antonio García,Manuel Rodríguez-Álvarez,Eduardo Ros,Uwe Meyer-Baese,María Molina +5 more
TL;DR: A novel customizable architecture of a neuromorphic robust optical flow (multichannel gradient model) based on reconfigurable hardware with the properties of the cortical motion pathway is presented, thus obtaining a useful framework for building future complex bioinspired real-time systems with high computational complexity.
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A Fast Image Dehazing Algorithm Using Morphological Reconstruction
Sebastián Salazar-Colores,Eduardo Cabal-Yepez,J. M. Ramos-Arreguin,Guillermo Botella,Luis M. Ledesma-Carrillo,Sergio Ledesma +5 more
TL;DR: A novel restoration algorithm is proposed using a single image to reduce the environmental pollution effects, and it is based on the dark channel prior and the use of morphological reconstruction for fast computing of transmission maps.
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Efficient wavelet-based ECG processing for single-lead FHR extraction
Encarnación Castillo,Diego P. Morales,Guillermo Botella,Antonio García,Luis Parrilla,Alberto J. Palma +5 more
TL;DR: This novel method is divided in two stages: the first step consists on a one-step wavelet-based preprocessing for simultaneous baseline and high-frequency noise suppression, while the second stage efficiently detects fetal QRS complexes allowing FHR monitoring.
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Dyna-H: A heuristic planning reinforcement learning algorithm applied to role-playing game strategy decision systems
TL;DR: A heuristic planning strategy to incorporate the ability of heuristic-search in path-finding into a Dyna agent, and a functional analogy between the proposed sampling from worst trajectories heuristic and the role of dreams in human behavior is suggested.
Journal ArticleDOI
SWIFOLD: Smith-Waterman implementation on FPGA with OpenCL for long DNA sequences
Enzo Rucci,Carlos García,Guillermo Botella,Armando Eduardo De Giusti,Marcelo Naiouf,Manuel Prieto-Matias +5 more
TL;DR: The results suggest that SWIFOLD can be a serious contender for accelerating the SW alignment of DNA sequences of unrestricted size in an affordable way reaching on average 125 GCUPS and almost a peak of 270GCUPS.