A novel algorithm for color constancy
International Journal of Computer Vision
Is Machine Colour Constancy Good Enough?
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Color-Calibration of Robot Vision System Using Self-Organizing Feature Maps
ICANN 96 Proceedings of the 1996 International Conference on Artificial Neural Networks
Stanley: The robot that won the DARPA Grand Challenge: Research Articles
Journal of Robotic Systems - Special Issue on the DARPA Grand Challenge, Part 2
Towards a Calibration-Free Robot: The ACT Algorithm for Automatic Online Color Training
RoboCup 2006: Robot Soccer World Cup X
Illumination independent object recognition
RoboCup 2005
Towards illumination invariance in the legged league
RoboCup 2004
Improving gamut mapping color constancy
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Hi-index | 0.00 |
To achieve robust color perception under varying light conditions in indoor and outdoor environments, we propose a three-step method consisting of adaptive camera parameter control, image segmentation and color classification. A controller for the intrinsic camera para- meters is used to improve color stability in the YUV space. Segmentation is done to detect spatially coherent regions of uniform color belonging to objects in the image. Then, a probabilistic classification method is applied to label the colors by use of a Gaussian color distribution model. Experiments under combination of artificial and natural illuminations indoors and outdoors have been carried out. The results show the feasibility of this approach as well as the problems that occur under these highly diverse light situations. In particular we investigate the application in a RoboCup soccer scenario pointing toward future outdoor use.