Welcome to the

Vision and Perception Science Lab Homepage

Neural Models of Visual Information Processing, Computational Vision and Learning


Prof. Heiko Neumann

Institute of Neural Information Processing
Faculty of Engineering and Computer Sciences
Ulm University
James-Franck-Ring
D-89081 Ulm
Germany
Tel. +49 (0)731 50-24158
Fax +49 (0)731 50-24156
email: heiko.neumann@uni-ulm.de
Google scholar: http://scholar.google.de/citations?user=0NbVSbMAAAAJ&hl=de&oi=ao

General research overview

The research of our group focuses on the investigation of mechanisms and the underlying structure of visual information processing in biological and technical systems (biological and machine vision) as well as their adaptation to changing environments (visual learning). We particularly aim at revealing basic circuit functionality of the visual system in primates solving such demanding tasks like finding textured object boundaries to segregate figure from ground in cluttered scenes, or integrate and segregate local motion signals to arrive at meaningful representations of moving surfaces and objects in a scene. These low and intermediate level visual mechanisms form the basis for higher level neural computations, e.g., for detecting articulated motions and recognizing actions. Complex visual tasks are concerted by mechanisms of attention to steer visual routines which closely interact with the sensory input channels of form and motion processing. Our research utilizes an integrative approach based on the analysis of empirical data derived from experimental methods (psychophysics, neurophysiology, and imaging), and the mathematical and computational investigation of the underlying neural processes (see summary at Vision Science @ Ulm University). We conduct psychophysical experiments utilizing 2D and 3D Computer Graphics methods, using eye tracking as well as motion capture facilities.

The results of neural modeling gain new insights into the computational mechanisms underlying complex brain functions for visual sensory processing and to guide behaviourally relevant tasks. These investigations also steer the development of new approaches and mechanisms for computational vision. Even further, these developments are applied in several domains, such as perceptual and attentive human-computer interfaces, medical image analysis and recognition, visually-guided robotics, and automotive technologies.

In order to provide and facilitate a cross-disciplinary forum of collaborative research activities at Ulm University we have co-founded a Competence Center and a special laboratory environment that summarizes several methods and competences under one umbrella.

In addition, I am also associate member of CELEST, a Center of Excellence for Learning in Education, Science, and Technology at Boston University (Boston, MA, USA). Here I belong to CELEST Faculty and Research Scientists investigating the learning functions of exploring, particularly the development and dynamics of cortical motion processing (together with Profs. Ennio Mingolla and Florian Raudies). For details of CELEST program and faculty please visit the webpage http://celest.bu.edu/



Members - Publications - Teaching

Vision group members (Visionaries)
Publications (per year)
Teaching - Course program

Former vision group members


Open positions (Sept. 2013)

Awards

Current and past research projects and collaborations