CURRICULUM VITAE UCLM

Among his works, he has published 25 books and more than a hundred works in prestigious journals and presented at national and international congresses. The main objective of my research consists in developing reliable techniques in these areas, preferably suitable for real time applications. Advances in Neuroblastoma Research Association, pp. A tracking system based on Mean shift is used to associate the foreground and background models to the correct region along the sequence. Writing reports and evaluations was part of my work. Columnist and Blogger on socio-political issues, writer and cervantist.

Particularly, I gave my know-how in real-time foreground segmentation techniques based on pixel-wise background modeling and real-time foreground objects tracking based on modified Mean Shift tracking system combined with foreground segmentation. Vicent, Journal of Magnetism and Magnetic Materials ee Analysis, measurement, control and forecasting. Enhanced Bayesian foreground segmentation using brightness and color distortion region-based model for shadow removal. The main objective of my research consists in developing reliable techniques in these areas, preferably suitable for real time applications. A tracking system based on Mean shift is used to associate the foreground and background models to the correct region along the sequence.

Region Based Foreground Segmentation combining color and depth sensors via logarithmic opinion pool decision. Meyer, Langmuir, 24 4 Analysis, measurement, control and forecasting. X-ray photoelectron spectroscopy study of the interfacial reactivity of Si with the oxidized GaAs interface, M.

He counts on the positive evaluation of the quality Teacher in all the editions realized in the UCLM, and with various sections evaluated positively in investigation CNEAI and teaching. I have expertise on: Data processing, and construction of climate and intangible surveys.

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On the other hand, he has been invited in foreign centers to hold lectures, conferences and courses. Particularly, I gave my know-how in real-time foreground segmentation techniques based on pixel-wise background modeling and real-time foreground objects tracking based on modified Mean Shift tracking system combined with foreground segmentation.

curriculum vitae uclm

vitas The research was based on: The objective of this project is to develop new smart technologies for the management of multimedia contents. The development carried out on my research is included in my Ph. The main objective of my research consists in developing reliable techniques in these areas, preferably suitable for real time applications.

Curriculum Vitae

My work in this project consisted in giving background knowledge by collaborating on strategic decisions and to propose calibration techniques for color cameras, in order to achieve the reduction of the distortion effects. Pattern Ucm Letters 33pp.

The acquisition setup was a single moving RGB camera. Correct person segmentation from Kinect depth and color sensors was the main purpose of my research. Region Based Foreground Segmentation combining color and depth sensors via logarithmic opinion pool decision.

Skip to content Home Research. Glomerulus classification and detection based on Convolutional Neural Networks.

Personal Page of Antoine Bret

Home I am a researcher on image processing area and machine learning in the field of digital pathology and medical analysis. Energy minimization techniques like Graph Cuts were designed in order to solve the classification process.

curriculum vitae uclm

He has held research and teaching vitad at: The acquisition setup was based on 18 cameras placed in a smart-room, with the objective to get the foreground segmentation in each camera to obtain a final 3D volume of the person inside the room. I contributed to this project directing the part corresponding to the multi-view foreground detection algorithm and in the research process.

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Jaime Gallego, 21 Jan Robust 3D SFS reconstruction based on reliability maps. The evaluation of the proposed techniques was carried out by analyzing ground truth sequences recorded by using the acquisition setup. Deep learning for damaged tissue detection and segmentation in Ki brain tumor specimens based on the U-net model. His lines of research focus on modeling and socio-economic indicators for national, regional and local spaces and business models for the management of intangible assets.

Registration of color and depth camera sensors. The development carried out on my research is included in my Ph. The acquisition setup is based on surveillance cameras with a curricuum degree of overlapping.

José Sánchez | University of Castilla-La Mancha –

The combination of the sensors was done according to Hellinger distance between sensors for each pixel, by comparing the foreground and background probabilistic models used for each frame. Advances in Neuroblastoma Research Association, pp. The main objective of my research consists in developing reliable techniques in these areas, preferably suitable for real time applications.

curriculmu

I proposed new combination between sensors by finding the Hellinger distance between sensors, in order to achieve a correct combination of both sensors.