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Laboratory of Grenoble for sciences of conception, optimisation and production
>
GSCOP_Research
>
GSCOP_CPP
3D reconstruction by 2D feature extraction from images
Problematic
How to prevent collision in the computer numerical control machine tools?
How to decrease the error from operators make a mistake during the machine process?
How to apply the intelligent system to prevent collision?
PhD candidate:
Kanuengnit PATOOMMAKESORN
Université Grenoble-Alpes,
Octobre 2011 – Septembre 2014
PhD supervisors:
Frédéric VIGNAT, François VILLENEUVE
Process of research
Study the image processing technique for use in 3D reconstruction.
Finding the new algorithm of edge detection using base on Harris corner detection, Canny edge detection and Hough line transform.
Finding the new methodology for apply and improve the speed of 3D reconstruction process.
Expected Results
3D reconstruction by 2D feature extraction from two images.
The 3D object recognition algorithm can search for match in the solid model database is precisely and rapidly
Last Update 2015.02.23
Date of update February 23, 2015
Research
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Combinatorial Optimisation
Operations Research for Production Systems
Production System and Operation Management
Collaborative Design
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Information Systems and Multiple Product Representations
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Université Grenoble Alpes