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Densely Annotated Photorealistic Virtual Dataset Generation for Abnormal Event Detection Read chapter Read first chapter

2021 | OriginalPaper | Chapter

Automatic Viewpoint Estimation for Inspection Planning Purposes

Authors : Siddhartha Dutta, Markus Rauhut, Hans Hagen, Petra Gospodnetić

Published in: Pattern Recognition. ICPR International Workshops and Challenges

Publisher: Springer International Publishing

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Abstract

Viewpoint estimation is an important aspect of surface inspection and planning. Typically viewpoint estimation has been done only with the 3D model and not with the actual object. This, therefore, limits the flexibility of using the actual object in inspection planning. In this work, we present a novel pipeline that can efficiently estimate viewpoints from live camera images. The pipeline can be used for different sized industrial objects to efficiently estimate the viewpoint. The achieved results are real-time and the method is easily generalizable to different objects. The presented method is based on a 3D model of the object, which is self-supervised and requires no manual data annotation or real images to be used as an input. The complete solution, together with documentation and examples is available in the public domain for testing. https://​gitlab.​itwm.​fraunhofer.​de/​dutta/​real-time-pose-est/​.​

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Metadata
Title
Automatic Viewpoint Estimation for Inspection Planning Purposes
Authors
Siddhartha Dutta
Markus Rauhut
Hans Hagen
Petra Gospodnetić
Copyright Year
2021
Book
Pattern Recognition. ICPR International Workshops and Challenges

Print ISBN: 978-3-030-68798-4

Electronic ISBN: 978-3-030-68799-1

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-3-030-68799-1_49

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