Optimal Pose and Shape Estimation for Category-level 3D Object Perception

We consider a category-level perception problem, where one is given 3D sensor data picturing an object of a given category (e.g., a car), and has to reconstruct the pose and shape of the object despite intra-class variability (i.e., different car models have different shapes). We consider an active...

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Bibliographic Details
Main Authors: Shi, Jingnan (Author), Yang, Heng (Author), Carlone, Luca (Author)
Other Authors: Massachusetts Institute of Technology. Laboratory for Information and Decision Systems (Contributor)
Format: Article
Language:English
Published: Robotics: Science and Systems Foundation, 2021-12-07T20:29:19Z.
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