Appearance-based and Active 3D Object Recognition using Vision.
作者： Michel Devy , Felipe Trujillo-Romero
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摘要: This paper concerns a topics studied by many researchers around the world: 3D object recognition from vision. In our robotics context,an must be recognized and localized in order to grasped mobile robot equipped with manipulator arm Mitsubishi PA10-6C: several cameras are mounted on this robot, static mast or wrist of arm. The use such for recognition, makes possible active strategies recognition. system able place sensor different positions learn discriminant features every first step, then recognize these objects before grasping task. Our method exploits Mutual Information actively acquire visual data until like it was proposed works presented (?) (Denzler et al., 2001): color histogram, shape context, signature ,interest points harris sift descriptors learnt viewpoint make more robust efficient.
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