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The existence of numerous imaging modalities makes it possible to present different data present in different modalities together thus forming multimodal images. Component images forming multimodal images should be aligned, or registered so that all
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A new approach toward target representation and localization, the central component in visual tracking of nonrigid objects,
is proposed. The feature histogram-based target representations are regularized by spatial masking with an isotropic kernel.
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In this paper, I present a novel hybrid face recognition approach based on a convolutional neural architecture, designed to robustly detect highly variable face patterns. With the weights of the trained neural networks there are created kernel window
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Feature extraction for face recognition
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为提高基于内容的图像检索系统中纹理特征提取的有效性,提出了又一种纹理图像检索方法。该方法
利用非下采样 Contourlet变换对图像进行分解, 提取不同子带和不同方向变换系数矩阵的均值和方差为特征向量, 作
为数据库中纹理图像的索引,并利用两种不同的相似度函数计算图像之间的相似度,建立了一套基于示例查询图像
的纹理图像检索系统。实验结果表明,与小波包等特征提取方法相比, 该方法不仅能降低特征向量维数,而且能取得
更高的检索准确率和检索速度。-To i ncrease t he
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CBIR-Two novel contributions to Content Based Image Retrieval are presented and
discussed. The fi rst is a search engine for font recognition. The intended usage
is the search in very large font databases. The input to the search engine is a
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Two novel contributions to Content Based Image Retrieval are presented and
discussed. The fi rst is a search engine for font recognition. The intended usage
is the search in very large font databases. The input to the search engine is an
i
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This paper presents a rule-based approach for the classification of power quality disturbances. The
disturbed signal is first characterized using the multi-resolution S-transform, which acts as a feature
extraction tool. Then, a simple but robust
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Digital images are the most prevalent way to spread a message. So the authenticity of images is very essential. But due to advancement of the technology the editing of images has become very effortless. Copy-move forgery is most basic technique to al
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A stochastic gravitational approach to feature based color image segmentation
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When extracting discriminative features multimodal
data, current methods rarely concern the data distribution.
In this paper, we present an assumption that is consistent with
the viewpoint of discrimination, that is, a person’s overall
biomet
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主流的人脸识别技术基本上可以归结为三类，即：基于几何特征的方法、基于模板的方法和基于模型的方法。
1. 基于几何特征的方法是最早、最传统的方法，通常需要和其他算法结合才能有比较好的效果；
2. 基于模板的方法可以分为基于相关匹配的方法、特征脸方法、线性判别分析方法、奇异值分解方法、神经网络方法、动态连接匹配方法等。
3. 基于模型的方法则有基于隐马尔柯夫模型，主动形状模型和主动外观模型的方法等。(The mainstream face recognition technology can
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