A Microscopic Framework For Distributed Object-Recognition & Pose-Estimation
Citations
36 citations
Cites background or methods from "A Microscopic Framework For Distrib..."
...Some works ignore the noise concept in their study, just by using synthetic data and simulations [11, 172]....
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...Other works performed simulations based on the proposed method, for example the work proposed by Anand [11], or employed only synthetic data for the experiments, for example the work proposed by Kordelas [144]....
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...These are the cases of the analyzed works presented by Anand, Raytchev e Kent. Anand shows an active vision-based system for 3D object recognition and pose estimation [11] which employs an autonomous robot team, data fusion of multiple sensors and a self-organization mechanism to complete the task....
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...Anand shows an active vision-based system for 3D object recognition and pose estimation [11] which employs an autonomous robot team, data fusion of multiple sensors and a self-organization mechanism to complete the task....
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References
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Additional excerpts
...We assume no knowledge of the internal parameters of the robot cameras and perform no camera calibration procedures, and also do not require that the entire object fit into one single camera view....
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339 citations
"A Microscopic Framework For Distrib..." refers background in this paper
...The object to be recognized is taken to be much bigger than the robots and need not fit completely into the field of view of the robot cameras....
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...We present here, an active vision-based 3D object recognition and pose estimation system that employs an autonomous team of robots, to obtain multiple views of the object, fusion of data from multiple sensors and uses a sensor selforganization mechanism to complete its tasks....
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