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Computer Vision Laboratory -- Home

Computer Vision Laboratory - Home. Welcome to our new page! Last update August 2012. The Computational Vision Laboratory at the Department of Electrical Engineering of the Universidad de Chile was created in 2001. Our main research interest areas are the development of new computational vision paradigms as well as the application of image processing, machine learning and computational intelligence techniques to the resolution of computer vision and pattern recognition problems. Phone: ( 562) 978 4207.

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Computer Vision Laboratory - Home. Welcome to our new page! Last update August 2012. The Computational Vision Laboratory at the Department of Electrical Engineering of the Universidad de Chile was created in 2001. Our main research interest areas are the development of new computational vision paradigms as well as the application of image processing, machine learning and computational intelligence techniques to the resolution of computer vision and pattern recognition problems. Phone: ( 562) 978 4207.
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Computer Vision Laboratory -- Home | vision.die.uchile.cl Reviews

https://vision.die.uchile.cl

Computer Vision Laboratory - Home. Welcome to our new page! Last update August 2012. The Computational Vision Laboratory at the Department of Electrical Engineering of the Universidad de Chile was created in 2001. Our main research interest areas are the development of new computational vision paradigms as well as the application of image processing, machine learning and computational intelligence techniques to the resolution of computer vision and pattern recognition problems. Phone: ( 562) 978 4207.

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1

Computer Vision Laboratory -- Publications

http://vision.die.uchile.cl/pub.php

Computer Vision Laboratory - Publications. Rodrigo Verschae, Javier Ruiz-del-Solar, "TCAS: A multiclass object detector for robot and computer vision applications". In International Symposium on Visual Computing (ISVC). Rodrigo Verschae, Mario Koeppen, Masato Tsuru, "A Benchmark for Evaluating Approximated Algorithms for Fair Wireless Channel Allocation", In INCoS (to appear). Mario Koeppen, Rodrigo Verschae, Masato Tsuru, "A Relational Approach to Collaborative Fairness", In INCoS (to appear). Patricio ...

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Computer Vision Laboratory -- Software

http://vision.die.uchile.cl/software.php

Computer Vision Laboratory - Software. 171; Back to top.

3

Computer Vision Laboratory -- Dabatases

http://vision.die.uchile.cl/databases.php

Computer Vision Laboratory - Dabatases. If you make use of this database, please add a reference to this paper:. Bib] (click to open full reference). Bib] (click to open full reference). Bib] (click to open full reference). Complete Set (103 images). Database of images with annotated eyes position and gender. Download annotation in GNT format. If you make use of this database, please add a reference to this paper:. Bib] (click to open full reference ). Download annotation in GNT format. 171; Back to top.

4

Computer Vision Laboratory -- Members

http://vision.die.uchile.cl/members.php

Computer Vision Laboratory - Members. Robotics and Autonomous Systems. Computer Vision, Face Analysis. Image and Video Retrieval. Application of Computational Intelligence to and Pattern Recognition problems. Doctoral Candidates and Students. Dr Mauricio Correa Pérez. 171; Back to top.

5

Computer Vision Laboratory -- Home

http://vision.die.uchile.cl/index.php

Computer Vision Laboratory - Home. Welcome to our new page! Last update August 2012. The Computational Vision Laboratory at the Department of Electrical Engineering of the Universidad de Chile was created in 2001. Our main research interest areas are the development of new computational vision paradigms as well as the application of image processing, machine learning and computational intelligence techniques to the resolution of computer vision and pattern recognition problems. Phone: ( 562) 978 4207.

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Computer Vision Laboratory -- Home

Computer Vision Laboratory - Home. Welcome to our new page! Last update August 2012. The Computational Vision Laboratory at the Department of Electrical Engineering of the Universidad de Chile was created in 2001. Our main research interest areas are the development of new computational vision paradigms as well as the application of image processing, machine learning and computational intelligence techniques to the resolution of computer vision and pattern recognition problems. Phone: ( 562) 978 4207.

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