Colloquia / Seminars / Industry Talks

Shape detection can be used as a first step in image understanding since it is one of the main ways humans recognize objects. By identifying simple shapes within object, we can better understand what we are looking at. This has applications in other areas such as image retrieval. Fast, accurate shape detectors are discussed here, as well as their application to biometrics. Iris detection is an example of where basic shapes are evident (circles, ellipses). Fingerprint comparison is also discussed via a triangle comparison method based on Voronoi diagrams. Vocabulary decomposition for mobile visual search will also be discussed.

Milos Stojmenovic is an associate professor at the Department of Computer Science and Electrical Engineering at Singidunum University, in Belgrade, Serbia. He received his PhD in Computer Science degree at the School of Information Technology and Engineering, University of Ottawa, in 2008 and was a visiting researcher at Japan's National Institute for Advanced Industrial Science and Technology. He has published more than thirty articles in the fields of computer vision, image processing, and wireless networks. More details can be found at milos.stojmenovic.com.