Month: September 2012

Many-to-Many High Order Matching. Applications to Tracking and Object Segmentation

Place: Large Lecture Room   Feature matching is a fundamental problem in Computer Vision, having multiple applications such as tracking, image classification and retrieval, shape recognition and stereo fusion. In numerous domains, it is useful to represent the local structure of

Intelligent Vision Systems: A foray into Computer Vision at the University of Auckland

Place: Large Lecture Room Affiliation: Department of Computer Science. The University of Auckland, New Zealand   I will briefly present an overview of the theoretical and applied aspects of the IVS group research in 2D and 3D computer Vision. I will present

Computer vision research at the University of Oulu: from LBP to computational photography

Date: 21|09|2012 Place: Large Lecture Room Autors: Prof. Janne Heikkilä Affiliation: Dep. of Computer Science and Engineering. Univ. of Oulu. Finland   Center for Machine Vision Research (CMV) at the University of Oulu (former Machine Vision Group) recently celebrated its 30th anniversary.  Our long-term

Shape Representation and Registration using Implicit Functions

Place: Large Lecture Room Affiliation: Computer Science Dep. and Computer Vision Centre   Shape representation and registration are two important problems in computer vision and graphics. Representing the given cloud of points through an implicit function provides a higher level information describing

Why don’t we hear lightning and see thunder? The sensorimotor approach to phenomenal consciousness

Place: Large Lecture Room Affiliation: Laboratoire Psychologie de la Perception, Université Paris Descartes. France   The problem of consciousness is sometimes divided into two parts: An “easy” part, which involves explaining how one can become aware of of something in the sense

Vector Space Embedding of Graphs via Statistics of Labelling Information

Place: Large Lecture Room Affiliation: Computer Science Dep. and Computer Vision Centre, UAB   Pattern recognition is the task that aims at distinguishing objects among different classes. When such a task wants to be solved in an automatic way a crucial step