PoS - Proceedings of Science
Volume 299 - The 7th International Conference on Computer Engineering and Networks (CENet2017) - Session I - Machine Learning
Vision-Based Object Fuzzy Recognition in Plain Industrial Environment by Contour Matching
M. Sang*, W. Wei and Y. Peng
Full text: pdf
Pre-published on: July 17, 2017
Published on: September 06, 2017
The vision-based object recognition and location (VORL)
technology can greatly increase the flexibility of production automation. To simplify some very complicated VORL systems while keeping the capacity of recogniting and locating many kinds of objects, the contour matching technology is introduced to the industrial VORL system consisting of object region detection, contour detection, contour matching, pose estimation and object location. To obtain the global
optimal contour matching and decrease the computation complexity as much as possible, the dynamic programming
with ordered contour points is adopted.
Besides, based on the result of contour matching, the rotation angle can be estimated at a very little cost of computation complexity
DOI: https://doi.org/10.22323/1.299.0013
How to cite

Metadata are provided both in "article" format (very similar to INSPIRE) as this helps creating very compact bibliographies which can be beneficial to authors and readers, and in "proceeding" format which is more detailed and complete.

Open Access
Creative Commons LicenseCopyright owned by the author(s) under the term of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.