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 act...

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Bibliographic Details
Main Authors: Shi, Jingnan, Yang, Heng, Carlone, Luca
Other Authors: Massachusetts Institute of Technology. Laboratory for Information and Decision Systems
Format: Article
Language:English
Published: Robotics: Science and Systems Foundation 2021
Online Access:https://hdl.handle.net/1721.1/138354.2