Recognition of Cylindrical Objects Using Occluding Boundaries Obtained from Colour Based Segmentation
Dekun Yang, Josef Kittler, George Matas · 1994
This paper describes a method for model-based recognition of cylindrical ob-jects from occluding boundaries obtained by computationally efficient colour segmentation of a 2D image. The models are invoked by combining geomet-ric and colour features. Occluding boundaries of hypothesized objects are generated using colour segmentation and ground plane constraint. Hypothe-sis verification is achieved by evaluating the fit between occluding boundary generated by the hypothesised object and the edge data. This method dif-fers from existing methods in that it integrates multiple measurements and prior knowledge to achieve robust object recognition. Experiments with real images have been carried out and the results are promising. 1