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Perceptually motivated shape context which uses shape interiors
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DOI：10.1016/j.patcog.2013.01.030.png)
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Abstract
En 中文
In this paper, we identify some of the limitations of current-day shape-matching techniques. We provide examples of how contour-based shape-matching techniques cannot provide a good match for certain visually similar shapes. To overcome this limitation, we propose a perceptually motivated variant of the well-known shape context descriptor. We identify that the interior properties of the shape play an important role in object recognition and develop a descriptor that captures these interior properties. We show that our method can easily be augmented with any other shape-matching algorithm. We also show from our experiments that the use of our descriptor can significantly improve the retrieval rates. (C) 2013 Elsevier Ltd. All rights reserved.
Keywords:
Computer vision
Shape retrieval
Shape context
Perceptual techniques
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