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2D IMAGE FEATURES DETECTOR AND DESCRIPTOR SELECTION EXPERT SYSTEM

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Author :  Ibon Merino

Affiliation :  Tecnalia Research and Innovation, Donostia-San Sebastian

Country :  Spain

Category :  Computer Science & Information Technology

Volume, Issue, Month, Year :  9, 12, September, 2019

Abstract :


Detection and description of keypoints from an image is a well-studied problem in Computer Vision. Some methods like SIFT, SURF or ORB are computationally really efficient. This paper proposes a solution for a particular case study on object recognition of industrial parts based on hierarchical classification. Reducing the number of instances leads to better performance, indeed, that is what the use of the hierarchical classification is looking for. We demonstrate that this method performs better than using just one method like ORB, SIFT or FREAK, despite being fairly slower.

Keyword :  Computer vision, Descriptors, Feature-based object recognition, Expert system

Journal/ Proceedings Name :  Computer Science & Information Technology

URL :  https://aircconline.com/csit/papers/vol9/csit91206.pdf

User Name : alex
Posted 20-02-2021 on 21:29:03 AEDT



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