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2D Features-based Detector and Descriptor Selection System for Hierarchical Recognition of Industrial Parts

  • Merino I
  • Azpiazu J
  • Remazeilles A
  • et al.
International Journal of Artificial Intelligence & Applications (2019) 10(6) 1-13
DOI: 10.5121/ijaia.2019.10601
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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 …

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Merino, I., Azpiazu, J., Remazeilles, A., & Sierra, B. (2019). 2D Features-based Detector and Descriptor Selection System for Hierarchical Recognition of Industrial Parts. International Journal of Artificial Intelligence & Applications, 10(6), 1–13. https://doi.org/10.5121/ijaia.2019.10601

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