一种多视角目标识别的新方法

2012 International Conference on Communication, Information & Computing Technology (ICCICT) Pub Date : 2012-12-31 DOI:10.1109/ICCICT.2012.6398165

S. Dalai, D. Rana

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引用次数: 2

摘要

本文提出了一种基于形状空间的多视点目标识别新方法。在这里，我们提取不同类别的所有对象的相似特征，并在高维流形(即形状空间)的一个点上进行识别。物体识别是通过测量被观察物体与形状空间中的模型之间的欧几里德距离来实现的。图像检索问题比文本检索问题更具挑战性，因为表示和搜索任意图像的重要特征随图像内容而变化。因此，我们将重点放在易于被人类用户识别的图像处理地标上。

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A new approach to object recognition for multi viewed objects

In this paper, we proposed a new method for object recognition for multi viewed object based on shape space. Here we extract the similar features of all the objects of different classes and identified in a single point in a high dimensional manifold which is known as shape space. Object recognition is achieved by measuring the Euclidian distance between an observed object and a model in the shape space. The problem of image retrieval is much more challenging than that of text retrieval since significant features for representing and searching an arbitrary image vary with the image content. So, we focus on landmarks of processing images which are easily recognisable by human users.

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来源期刊

2012 International Conference on Communication, Information & Computing Technology (ICCICT)

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