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In real world scenes a large amount of objects can occur, that have to be recognized and localized by humanoids. In this paper we propose a new approach to initialize three-dimensional pose and shape parameters for a large variety of objects, which is applicable to single images. In order to feed the recognition system with a priori knowledge, three-dimensional models are used and in order to cope...
This paper presents an efficient approach for the combined audio-visual localization of a fallen object. The localization algorithm is incorporated into a multi-sensor robotic platform to supervise and to adapt dynamically the discrete plan of a robot performing a pick-and-place task. Initial audio position estimates of the fallen object are delivered by means of time-delay estimates in two microphone...
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