Acquiring Robust Representations for Recognition from Image Sequences
Proceedings of the 23rd DAGM-Symposium on Pattern Recognition
View-Based Dynamic Object Recognition Based on Human Perception
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
Modeling embodied visual behaviors
ACM Transactions on Applied Perception (TAP)
Categorization of natural scenes: Local versus global information and the role of color
ACM Transactions on Applied Perception (TAP)
Eye and pointer coordination in search and selection tasks
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications
Dynamic Faces: Insights from Experiments and Computation
Dynamic Faces: Insights from Experiments and Computation
Measuring unrestrained gaze on wall-sized displays
Proceedings of the 28th Annual European Conference on Cognitive Ergonomics
HAPTIC '10 Proceedings of the 2010 IEEE Haptics Symposium
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Research in learning algorithms and sensor hardware has led to rapid advances in artificial systems over the past decade. However, their performance continues to fall short of the efficiency and versatility of human behavior. In many ways, a deeper understanding of how human perceptual systems process and act upon physical sensory information can contribute to the development of better artificial systems. In the presented research, we highlight how the latest tools in computer vision, computer graphics, and virtual reality technology can be used to systematically understand the factors that determine how humans perform in realistic scenarios of complex task-solving.