A new method of describing and matching spatial context is proposed to effectively improve the distinguishability of objects in visual words-based image retrieval.
提出了一种空间上下文描述与匹配方法，有效地提高了基于视觉关键词的图像检索中目标对象的可区分性。
Based on visual perception, a face detection approach from coarse to fine matching in complex background is described in this paper.
基于人类视觉机制，描述了一种由粗到细的复杂背景中的人脸检测方法。
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