Feature recognition and fingerprint sensing for guiding a wood patching robot
2012 (English)In: World Conference on Timber Engineering: WCTE Auckland New Zealand 15-19 July 2012 / [ed] Pierre Quenneville, Auckland: New Zealand Timber Design Society , 2012, 724-733 p.Conference paper (Other academic)
This paper includes a summary of a few commonly used object recognition techniques, as well as a sensitivity analysis of two feature point recognition methods. The robustness was analyzed by automatically trying to recognize 886 images of pine floorboards after applying different levels of distortions. Recognition was also tested on a subset of 5% of the boards which were both re-scanned using a line scan camera and photographed using a digital camera. Experiments showed that both the Block matching method and the SURF method are valid options for recognizing wood products covered with distinct features. The Block matching method outperformed the SURF method for small geometric distortions and moderate radiometric distortions. The SURF method, in its turn, performed better compared to the other method when faced with low resolution digital images.
Place, publisher, year, edition, pages
Auckland: New Zealand Timber Design Society , 2012. 724-733 p.
Information technology - Computer science
Image analysis, Classification, Feature recognition, Fingerprint, Sensor fusion, Holonic, Patching robot, Wood, Hol-i-Wood PR, Informationsteknik - Datorvetenskap
Research subject Wood Products Engineering
IdentifiersURN: urn:nbn:se:ltu:diva-35703Local ID: a5a89059-d44a-43d5-95fd-13de2346604bISBN: 9781622763054OAI: oai:DiVA.org:ltu-35703DiVA: diva2:1008956
World Conference on Timber Engineering : 15/07/2012 - 19/07/2012
ProjectsHolonic Integration of Cognition, Communication and Control for a Wood Patching Robot
Godkänd; 2012; 20120816 (tobpah)2016-09-302016-09-30Bibliographically approved