An approach of image feature representation that combines the multi-scale image decomposition technique and contour theory is proposed.
结合多尺度图像分解技术和等高线理论提出了一种图像特征表达方法。
We conclude that image content representation and image feature match should be two key research topics in the dissertation.
本文的研究工作主要是围绕图像内容的表示以及图像特征的匹配两个核心问题展开。
The principal research of content based image retrieve (CBIR) includes two aspects: visual feature representation and similarity measurement.
基于内容的图像检索(CBIR)技术的研究主要包括两个方面：可视化特征提取和相似性度量。
To solve this problem, and also based on the fact that gait energy image(GEI) is effective for feature representation, an.
针对此问题，并基于步态能量图（GEI）在步态特征表示上的效果，提出了一种迭代切距离原型学习算法。
To solve this problem, and also based on the fact that gait energy image(GEI) is effective for feature representation, an.
针对此问题，并基于步态能量图（GEI）在步态特征表示上的效果，提出了一种迭代切距离原型学习算法。
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