Region-based Deformable Net for automatic color image segmentation
Image and Vision Computing
Learning and prediction of soft object deformation using visual analysis of robot interactions
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part II
3D information extraction using Region-based Deformable Net for monocular robot navigation
Journal of Visual Communication and Image Representation
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This paper describes a vision-based system that is able to automatically recognize deformable objects, to estimate their pose, and to select suitable picking points. A hierarchical self-organized neural network is used to segment color images based on texture information. A morphological analysis allows the recognition of the objects and the picking points extraction. The proposed approach is useful in all of the situations where texture properties are significant for detecting regions of interest on deformable objects. Several tests on a large number of images, acquired in real operative working conditions, demonstrate the effectiveness of the system.