搜索资源列表
original
- these are the original publications of Haar-like features and Adaboost framework, which form the basis of the newest object detections technology
haar
- 这里面主要阐述haar小波的基本原理和基本算法-this is all about the haar wavelet sfskfsdfsdfjsfskfjlsfla
OpenCV_ObjectDetection_HowTo
- How-to build a cascade of boosted classifiers based on Haar-like features
Kofsky-Code-Orange
- 人脸检测，matlab源码，适合初学者使用，包括Adaboost及Haar-like特征提取-face detectiom
RET_iccv13_preprint
- Very recently tracking was approached using classification techniques such as support vector machines. The object to be tracked is discriminated by a classifier from the background. In a similar spirit we propose a novel on-line AdaBoost featur
Fusing-Multiple-Feature
- 通过改进基于Haar-like特征和Adaboost的级联分类器，提出一种融合Haar-like特征和 HOG特征的道路车辆检测方法-By improving based on Haar-like features and Adaboost cascade classifier, presents a fusion of Haar-like features and characteristics of HOG road vehicle detection method
Robust-Image-Watermarking-using-Tetrolet-Transfor
- 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
surf
- 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,