Identifying elephant photos by multi-curve matching
Identifying elephant photos by multi-curve matching
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DOI：
10.1016/j.patcog.2007.11.010
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发表时间：
2008-06-01
影响因子：
8
通讯作者：
Sangineto, E.
中科院分区：
文献类型：
--
作者：
Ardovini, A.;Cinque, L.;Sangineto, E.
本文提出了一种基于大象耳朵特征刻痕形状比较的大象照片识别系统。我们提出的方法可以处理非常混乱和嘈杂的图像，动物学家常用的野生大象照片识别。使用用户输入的粗略位置信息解决了难以分割的问题。这样的信息被系统用作一组分割和标准化假设的基础，所述分割和标准化假设旨在将查询照片Q与系统数据库中可能表示与Q相同的个体的不同照片进行比较。本文提出的基于多条非连通曲线匹配的形状比较方法，可以应用于不同的形状检索问题。与真实的野生大象照片的例子显示。(C)2007爱思唯尔有限公司保留所有权利。
We present in this paper an elephant photo identification system based on the shape comparison of the nicks characterizing the elephants' ears. The method we propose can deal with very cluttered and noisy images as the ones commonly used by zoologists for wild elephant photo identification. Difficult segmentation problems are solved using rough position information input by the user. Such information is used by the system as a basis for a set of segmentation and normalization hypotheses aiming at comparing a query photo Q with different photos of the system's database possibly representing the same individual as Q. The proposed shape comparison method, based on matching multiple, non-connected curves, can be applied to different retrieval by shape problems. Examples with real wild elephant photos are shown. (C) 2007 Elsevier Ltd. All rights reserved.