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Using Multi-view Recognition and Meta-data Annotation to Guide a Robot's Attention
The International Journal of Robotics Research, 08/20/09

Thomas A et al. – The authors extend ISM paradigm to couple recognition to the provision of meta–data useful for a task and to the case of multiple viewpoints by integrating it with the dense multi–view correspondence finder of Ferrari et al. Meta–data can be part labels but also depth estimates, information on material types, or any other pixelwise annotation.

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