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» Learning Outdoor Color Classification
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ICIP
2007
IEEE
14 years 7 months ago
Iterative Feature Selection for Color Texture Classification
In this paper, we describe a new approach for color texture classification by use of Haralick features extracted from color co-occurrence matrices. As the color of each pixel can ...
Alice Porebski, Nicolas Vandenbroucke, Ludovic Mac...
CVPR
2007
IEEE
14 years 7 months ago
Learning Color Names from Real-World Images
Within a computer vision context color naming is the action of assigning linguistic color labels to image pixels. In general, research on color naming applies the following paradi...
Joost van de Weijer, Cordelia Schmid, Jakob J. Ver...
AMS
2007
Springer
250views Robotics» more  AMS 2007»
13 years 9 months ago
SVMs for Vibration-Based Terrain Classification
When an outdoor mobile robot traverses different types of ground surfaces, different types of vibrations are induced in the body of the robot. These vibrations can be used to learn...
Christian Weiss, Matthias Stark, Andreas Zell
WACV
2008
IEEE
13 years 11 months ago
Segmentation of Salient Regions in Outdoor Scenes Using Imagery and 3-D Data
This paper describes a segmentation method for extracting salient regions in outdoor scenes using both 3-D laser scans and imagery information. Our approach is a bottomup attentiv...
Gunhee Kim, Daniel F. Huber, Martial Hebert
AIPR
2003
IEEE
13 years 9 months ago
Sensor and Classifier Fusion for Outdoor Obstacle Detection: an Application of Data Fusion To Autonomous Off-Road Navigation
This paper describes an approach for using several levels of data fusion in the domain of autonomous off-road navigation. We are focusing on outdoor obstacle detection, and we pre...
Cristian Dima, Nicolas Vandapel, Martial Hebert