A novel algorithm for color constancy
International Journal of Computer Vision
Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
A Flexible New Technique for Camera Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Color by Correlation: A Simple, Unifying Framework for Color Constancy
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Color-Calibration of Robot Vision System Using Self-Organizing Feature Maps
ICANN 96 Proceedings of the 1996 International Conference on Artificial Neural Networks
Tracking and Segmenting People in Varying Lighting Conditions Using Colour
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Adaptive supervision of moving objects for mobile robotics applications
Robotics and Autonomous Systems
Three-Dimensional Moment Invariants
IEEE Transactions on Pattern Analysis and Machine Intelligence
Adaptive supervision of moving objects for mobile robotics applications
Robotics and Autonomous Systems
Target tracking for mobile robot platforms via object matching and background anti-matching
Robotics and Autonomous Systems
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One of the main tasks of mobile robotics is vision. Lighting independence, adaptivity and automated learning are still the main issues when it comes to applications. In this article, we present an image understanding system and its methods targeting automatic, lighting-independent and reliable color-based object recognition under real time conditions. Its application test bed is global vision robot soccer (i.e. FIRA MiroSot und RoboCup Small Size leagues) but it has many other applications in color-based supervision of moving objects. Under typical conditions, it learns the objects of recognition automatically, has zero setup time and tolerates environmental changes during run-time.