2003
DOI: 10.1117/12.477727
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A general approach for multifeature multisensor classification and localization of 3D objects in 2D image sequences

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“…In [9] a system for multi-feature, multi-sensor classification and localization of 3D objects in 2D image sequences is presented. It uses a hypothesizeand-test approach to estimate type and pose of objects.…”
Section: Object Recognition and Pose Estimationmentioning
confidence: 99%
“…In [9] a system for multi-feature, multi-sensor classification and localization of 3D objects in 2D image sequences is presented. It uses a hypothesizeand-test approach to estimate type and pose of objects.…”
Section: Object Recognition and Pose Estimationmentioning
confidence: 99%