Authors:
Frederik Hagelskjær
;
Anders Glent Buch
and
Norbert Krüger
Affiliation:
University of Southern Denmark, Denmark
Keyword(s):
Pose Estimation, Industrial Vision, Setup Time, Usability.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Applications and Services
;
Computer Vision, Visualization and Computer Graphics
;
Enterprise Information Systems
;
Human and Computer Interaction
;
Human-Computer Interaction
;
Image Formation and Preprocessing
;
Image Generation Pipeline: Algorithms and Techniques
;
Pattern Recognition
;
Robotics
;
Software Engineering
Abstract:
A multitude of pose estimation algorithms has been developed in the last decades and many proprietary computer
vision packages exist which can simplify the setup process. Despite this, pose estimation still lacks the
ease of use that robots have attained in the industry. The statement ”vision does not work” is still not uncommon
in the industry, even from integrators. This points to difficulties in setting up solutions in industrial
applications. In this paper, we analyze and investigate the current usage of pose estimation algorithms. A
questionnaire was sent out to both university and industry. From this survey, it is clear that the actual setup
time of pose estimation solutions is on average between 1–2 weeks, which poses a severe hindrance for the
application of pose estimation algorithms. Finally, steps required for facilitating the use of pose estimation
systems are discussed that can reduce complexities and thus the setup times in industrial applications.