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How-to build a cascade of boosted classifiers based on
Haar-like features
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计算Haar小波特征,用AdBaoost提取部分有代表性的特征共三种特征选择方法与SVM相结合进行目标跟踪的算法。
-The calculated Haar wavelet features to extract some of the typical characteristics of three feature selection method combined with SVM algorithm for target tracking AdBaoost.
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denoising packages for wavelet haar based image filtering
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DWT Based Watermarking Algorithm using
Haar Wavelet
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This paper proposes new watermarking technique
based on tetrolet domain. The tetrolet transform is a new
adaptive Haar-type wavelet transform based on tetrominoes. It
avoids Gibbs oscillation because it applies the Haar function at
the edge o
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SURF意指 加速的具有鲁棒性的特征,由Bay在2006年首次提出,这项技术可以应用于计算机视觉的物体识别以及3D重构中。SURF算子由SIFT算子改进而来,一般来说,标准的SURF算子比SIFT算子快好几倍,并且在多幅图片下具有更好的鲁棒性。SURF最大的特征在于采用了harr特征以及积分图像integral image的概念,这大大加快了程序的运行时间。-SURF (Speeded Up Robust Feature) is a robust local feature detector,
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