A New Normalized Method of Object Shape-based Recognition and Localization
A New Normalized Method of Object Shape-based Recognition and Localization
- Author(s): B. Moradi ; H. Abdulrahman ; B. Magnier
- DOI: 10.1049/cp.2019.0246
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- Author(s): B. Moradi ; H. Abdulrahman ; B. Magnier Source: 10th International Conference on Pattern Recognition Systems, 2019 p. 8 (41 – 46)
- Conference: 10th International Conference on Pattern Recognition Systems
- DOI: 10.1049/cp.2019.0246
- ISBN: 978-1-83953-108-8
- Location: Tours, France
- Conference date: 8-10 July 2019
- Format: PDF
This paper introduces a new normalized measure for the assessment of a contour-based object pose. This algorithm allows a supervised assessment of recognition and localization of known objects, the differences between a reference edge map and a candidate image are quantified by computing a performance measure. This measure is normalized and is able determine the degree to which an object shape differs from a desired position. Compared to 6 other approaches, experiments on real images at different sizes/scales exhibit the suitability of the new method for an object pose or shape matching estimation.
Inspec keywords: feature extraction; edge detection; image recognition; shape recognition; object detection; image segmentation; pose estimation; image matching; image representation; object recognition
Subjects: Optical, image and video signal processing; Computer vision and image processing techniques; Image recognition; Other topics in statistics
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