Héctor Montes from Mexico to discuss Computer Vision Research on Nov. 14 at Discovery Park

Join us for a special colloquium:

Day: Wednesday, Nov. 14
Time: 6:00 – 7:30pm
Location: Discovery Park, Room B155

Presenter: Héctor A. Montes, UAEM, Mexico

Topic:
Information Processing on Images: Computer Vision Research at the School of Engineering (SOI), UAEM, Mexico

Abstract:
The essence of information processing on images is to derive useful information from a set of images for a specific purpose. Image Processing and Computer Vision fields focus on developing computer algorithms for transforming, extracting and understanding the large amount of information contained in images. In this talk, I will present preliminary results of two ongoing research projects at the SOI-UAEM: Steganography and Object Categorization. Steganography is the practice of writing hidden messages in such a way that only the sender and the recipient know the existence of the message. In our project an image is used as the carrier of the hidden message and the goal is to increase the length of the secret message without affecting the visual quality of the image. Object Categorization detects objects in images and determines the object's category, i.e., the recognition of generic classes of objects instead of the recognition of specific, individual objects. Preliminary results will be presented on the extraction of useful features to determine an object´s category shown in an image.

Bio:
Héctor A. Montes is a Lecturer of Computer Science at the School of Engineering at the Autonomous University of the State of Mexico (UAEM) in Mexico. He also serves as a scientific advisor for two companies in the private sector and as a member of the steering committee of the local Scientific Research Council. He publishes papers on Computer Vision, Robotics, and Computer Science Theory. His research interests are in Artificial Intelligence, Computer Vision, Robotics, Machine Learning, and Theoretical Computer Science.

URL: http://www.ci.unt.edu/main/news/newspage.php?nid=384