News

Eduardo Cardoce, past member of the IPCV-LAB, is now conducting PhD studies on computer vision in the Electrical Engineering and Computer Science Department of the University of Kansas, USA.

A link to the IPCV-LAB home page is now available in the Computer Vision Research Groups Home Page.

Dr. Geovanni Martinez gave a talk and presented a poster entitled "Facial feature extraction based on the Smallest Univalue Segment Assimilating Nucleus (SUSAN) algorithm" and "Automatic Adaptation of a Human Face Model for Model-Based Coding", respectively, at the Picture Coding Symposium 2004 (PCS-2004), San Francisco, California, USA, 15-17 December 2004.

Dr. Geovanni Martinez gave a talk entitled "Integrated circuit segmentation and color estimation from a single video camera for human error detection in chip production lines." at Costa Rica Engineering and Technical Exposition (CREATE2004), Intel Corporation, Costa Rica, 29-30 November 2004.

A paper of Dr. Geovanni Martinez et al. was accepted for publication in the IEEE International Conference on Acoustics, Speech, and Signal Processing 2005 (ICASSP-2005), Philadelphia, PA, USA, 19-23 March 2005.

Dr. Geovanni Martinez gave a keynote speech entitled "Image Processing and Computer Vision Research Laboratory (IPCV-LAB): supporting graduate education and developing solutions for high-tech industry" at the International Congress on Mechanical Egineering 2004 (CIIM-2004), San Jose, Costa Rica, August 17th-19th, 2004.

Dr. Geovanni Martinez presented a poster entitled "Improving the Speed of Convergence of a Maximum Likelihood Motion Estimation Algorithm of a Human Face" at the IEEE Intenational Conference on Multimedia and Expo (ICME´2004), Taipei, Taiwan, June 27th-30th, 2004.

The master student Mauricio Hess got the highst grade on his thesis entitled "Automatic Model Face Adaptation for Model Based Coding"

Dr. Geovanni Martinez gave a talk entitled "Image Processing and Computer Vision Research Laboratory (IPCV-LAB): supporting graduate education and developing solutions for high-tech industry" at UCR-KSU-KU Symposium,
University of Kansas, Kansas, USA, April 7-9, 2004.

The licenciate student Francisco Siles got the highest grade on his thesis entitled "Cell Shape and Color Estimation for In-Situ Microscopy".

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