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ICANN
2005
Springer

Fast Color-Based Object Recognition Independent of Position and Orientation

11 years 11 months ago
Fast Color-Based Object Recognition Independent of Position and Orientation
Small mobile robots typically have little on-board processing power for time-consuming vision algorithms. Here we show how they can quickly extract very dense yet highly useful information from color images. A single pass through all pixels of an image serves to segment it into color-dependent regions and to compactly represent it by a short list of the average hues, saturations and color intensities of its regions; all other information is discarded. Experiments with two image databases show that in 90 % of all cases the remaining information is sufficient for a simple weighted voting algorithm to recognize objects shown in query images, independently of position and orientation and partial occlusions.
Martijn van de Giessen, Jürgen Schmidhuber
Added 27 Jun 2010
Updated 27 Jun 2010
Type Conference
Year 2005
Where ICANN
Authors Martijn van de Giessen, Jürgen Schmidhuber
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