Abstract
For the semiconductor industry, automatic object pose estimation is often required to avoid operator intervention in manufacturing processes, make throughput even faster, and maintain processes consistency. This paper presents a new framework for a monocular vision system that can estimate object pose. Hough transform is introduced to detect straight lines, so that the intersection of cross mark can be easily computed by solving two line equations. Estimation of object pose from a single view is discussed and implemented. The contribution of this paper consists of a linear industrial solution to object pose estimation for automatic semiconductor fabrication. Simulations and experiments are performed to verify the proposed algorithm for object pose estimation, and the accuracy of the automatic object pose estimation scheme is also evaluated.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: The International Journal of Advanced Manufacturing Technology
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
