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中文摘要：
图像内容表示问题已成为计算机视觉领域广受关注的焦点问题,针对目标形变、外物遮挡、尺度变化以及背景干扰等挑战,研究者提出了很多有效的解决思路,做了很多优秀的工作。现对近年来比较经典的基于局部特征的图像表示模型做一个回顾,按照基于码本的模型、部分-结构模型、基于轮廓片段的模型、生物认知相关的模型和语境相关模型的顺序总结了过去出现的经典工作及其优点和局限性。
英文摘要：
Content-based image representation has become one of the most popular problem in the field of computer vi- sion. To deal with the challenge of object deformation, object occlusion, scale variability and background confusion, a lot of strategies have been proposed, and a large number of works have been produced. This paper presented a review on the classic works related to content-based image representation, which are in the order of codebook-based models, part- structure models, contour-fragment-based models, biological-cognition-related models and context related models. In ad- dition, the advantages and limitations of each model were also provided.
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