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2-D Curved Shape Recognition Using a Local Curve Descriptor and Projective Refinement

机译:使用局部曲线描述符和投影细化的二维弯曲形状识别

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摘要

In this paper, we propose a descriptor as a shape signature and the projective refinement as a verification method for recognizing 2D curved objects with occlusions from their par- tial views. For an extracted curve segment, we compute a series of the geometric invariance of equally spaced five co-planar points on the curve. Thus the resulting descriptor is invariant only un- der rotation, translation, and scale, but sufficient similarity is pre- served even under large distortions. It is more stable and robust since it does not need derivatives. We use this transformation- invariant descriptor to index a hash table. We show the efficiency of the method through experiments using seriously distorted im- ages of 2-D curved objects with occlusions.
机译:在本文中,我们提出了一个描述符作为形状签名,而射影细化作为一种​​验证方法,用于从局部视图识别具有遮挡的2D弯曲物体。对于提取的曲线段,我们计算曲线上等距的五个共面点的一系列几何不变性。因此,生成的描述符仅在旋转,平移和缩放下不变,但是即使在较大的失真下也可以保持足够的相似性。由于它不需要导数,因此更加稳定和健壮。我们使用这个变换不变的描述符来索引哈希表。我们通过使用带有遮挡的2D弯曲物体严重失真的图像进行实验,证明了该方法的有效性。

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