Pose Estimation of Primitive-Shaped Objects from a Depth Image Using Superquadric Representation

Pose Estimation of Primitive-Shaped Objects from a Depth Image Using Superquadric Representation

This paper presents a method for estimating the six Degrees of Freedom (6DoF) pose of texture-less primitive-shaped objects from depth images. As the conventional methods for object pose estimation require rich texture or geometric features to the target objects, these methods are not suitable for t...

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Bibliographic Details
Main Authors: Ryo Hachiuma, Hideo Saito
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Applied Sciences
Subjects:
superquadrics
pose estimation
depth image
primitive shapes
Online Access:https://www.mdpi.com/2076-3417/10/16/5442

Internet

https://www.mdpi.com/2076-3417/10/16/5442

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