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Shape Similarity Measurement for Known-Object Localization: A New Normalized Assessment

IMT Mines Alès, LGI2P, 6. Avenue de Clavières, 30100 Alès, France
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Received: 15 July 2019 / Revised: 2 September 2019 / Accepted: 12 September 2019 / Published: 23 September 2019
(This article belongs to the Special Issue Soft Computing for Edge Detection)
This paper presents a new, normalized measure for assessing a contour-based object pose. Regarding binary images, the algorithm enables supervised assessment of known-object recognition and localization. A performance measure is computed to quantify differences between a reference edge map and a candidate image. Normalization is appropriate for interpreting the result of the pose assessment. Furthermore, the new measure is well motivated by highlighting the limitations of existing metrics to the main shape variations (translation, rotation, and scaling), by showing how the proposed measure is more robust to them. Indeed, this measure can determine to what extent an object shape differs from a desired position. In comparison with 6 other approaches, experiments performed on real images at different sizes/scales demonstrate the suitability of the new method for object-pose or shape-matching estimation. View Full-Text
Keywords: distance measures; contours; shape; pose evaluation distance measures; contours; shape; pose evaluation
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MDPI and ACS Style

Magnier, B.; Moradi, B. Shape Similarity Measurement for Known-Object Localization: A New Normalized Assessment. J. Imaging 2019, 5, 77. https://0-doi-org.brum.beds.ac.uk/10.3390/jimaging5100077

AMA Style

Magnier B, Moradi B. Shape Similarity Measurement for Known-Object Localization: A New Normalized Assessment. Journal of Imaging. 2019; 5(10):77. https://0-doi-org.brum.beds.ac.uk/10.3390/jimaging5100077

Chicago/Turabian Style

Magnier, Baptiste, and Behrang Moradi. 2019. "Shape Similarity Measurement for Known-Object Localization: A New Normalized Assessment" Journal of Imaging 5, no. 10: 77. https://0-doi-org.brum.beds.ac.uk/10.3390/jimaging5100077

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