IEEE Trans Image Process. 2014 Mar;23(3):1118-27. doi: 10.1109/TIP.2013.2286330. Epub 2013 Oct 18.
In this paper, we propose two novel shape descriptors, angular pattern (AP) and binary angular pattern (BAP), and a multiscale integration of them for shape retrieval. Both AP and BAP are intrinsically invariant to scale and rotation. More importantly, being global shape descriptors, the proposed shape descriptors are computationally very efficient, while possessing similar discriminability as state-of-the-art local descriptors. As a result, the proposed approach is attractive for real world shape retrieval applications. The experiments on the widely used MPEG-7 and TARI-1000 data sets demonstrate the effectiveness of the proposed method in comparison with existing methods.
在本文中，我们提出了两种新颖的形状描述符，角模式（AP）和二值角模式（BAP），并对它们进行了多尺度集成以进行形状检索。AP 和 BAP 都固有地对尺度和旋转不变。更重要的是，作为全局形状描述符，所提出的形状描述符在计算上非常高效，同时具有与最先进的局部描述符相当的可辨别性。因此，该方法对于实际的形状检索应用具有吸引力。在广泛使用的 MPEG-7 和 TARI-1000 数据集上的实验表明，与现有方法相比，所提出的方法具有有效性。
