Web ROC-SIANI

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Antonio C. Domínguez Brito — 2012-12-11T13:20:57Z

foto despacho

Antonio C. Domínguez Brito — 2012-12-11T13:20:59Z

First Sailing Autonomous Navigation Tests

Antonio C. Domínguez Brito — 2013-04-17T10:45:00Z

Last Saturday April 13th 2013 the first tests of sailing autonomous navigation were done. Our division colleague Jorge Cabrera Gámez, and our Master SIANI's student, Ángel Ramos de Miguel, achieved in a long long day of hard work that everything were successful. So, we have to congratulate both of them!. Below you can find a video witnessing what was done.

Events

Antonio C. Domínguez Brito — 2012-11-26T18:35:00Z

Events of interest for ROC-SIANI members: Phd and master theses presentations, degree final project presentations, conferences, workshops, ... (more)

Events

Antonio C. Domínguez Brito — 2012-11-23T12:10:00Z

Events happening in the division

Events

Antonio C. Domínguez Brito — 2012-11-23T12:10:27Z

Events happening in the division

Events

Antonio C. Domínguez Brito — 2014-05-09T11:50:00Z

ROC-SIANI events

Estudio y Diseño: Renderizado Volumétrico con AMILab

Antonio C. Domínguez Brito — 2014-07-22T19:15:00Z

Enrique Fernández Perdomo's Phd Thesis Defense

Antonio C. Domínguez Brito — 2013-09-30T08:34:52Z

Last September 20th 2013 at 10:00 at the Salón de Actos of the ULPGC'sEdf. Central del Parque Científico Tecnológico the Phd thesis defense entitled "Contributions to Underwater Glider Path Planning" has been presented by our SIANI Phd student, and ULPGC Research Phd Grant Holder Enrique Fernández Perdomo. This Phd Thesis has been carried out under the co-supervision of the division ROC-SIANI members: Antonio C. Domínguez Brito, Daniel Hernández Sosa, and José Isern González. From we would like to give our congratulations to Enrique for his new fresh doctorate title.

Downloads

Antonio C. Domínguez Brito — 2014-05-09T11:55:00Z

Software downloads from Division ROC-SIANI

Downloads

Antonio C. Domínguez Brito — 2014-05-09T10:20:43Z

Software downloads from Division ROC-SIANI

Division ROC-SIANI in La Provincia

Antonio C. Domínguez Brito — 2013-11-19T12:40:00Z

Last Sunday September 17th 2013, newspaper La Provincia dedicated in its section of science, an article about the work Division ROC-SIANI has been carrying out with underwater gliders, and its participation through the directon of our collegue Antonio González Ramos, member of our division, in several international missions with that kind of robotic vehicles. Here we include a link to a PDF file with the article published in press.

News on La Provincia November 17th 2013.

Division of Robotics and Computational Oceanography

Antonio C. Domínguez Brito — 2012-11-21T19:55:59Z

Division of Robotics and Computational Oceanography

Antonio C. Domínguez Brito — 2012-10-29T19:31:07Z

This is the web site of División de Robótica y Oceanografía Computacional (ROC) at Instituto Universitario de Sistemas Inteligentes y Aplicaciones Numéricas en Ingeniería (SIANI) at Universidad de Las Palmas de Gran Canaria (ULPGC), Spain.

Deep learning for source camera identification on mobile devices

Antonio C. Domínguez Brito — 2019-12-20T18:26:20Z

In the present paper, we propose a source camera identification (SCI) method for mobile devices based on deep learning. Recently, convolutional neural networks (CNNs) have shown a remarkable performance on several tasks such as image recognition, video analysis or natural language processing. A CNN consists on a set of layers where each layer is composed by a set of high pass filters which are applied all over the input image. This convolution process provides the unique ability to extract features automatically from data and to learn from those features. Our proposal describes a CNN architecture which is able to infer the noise pattern of mobile camera sensors (also known as camera fingerprint) with the aim at detecting and identifying not only the mobile device used to capture an image (with a 98% of accuracy), but also from which embedded camera the image was captured. More specifically, we provide an extensive analysis on the proposed architecture considering different configurations. The experiment has been carried out using the images captured from different mobile device cameras (MICHE-I Dataset) and the obtained results have proved the robustness of the proposed method.