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深入浅出介绍计算机视觉的最新动态。内容包括：
* Camera calibration using 3D objects, 2D planes, 1D lines, and self-calibration
* Extracting camera motion and scene structure from image sequences
* Robust regression for model fitting using M-estimators, RANSAC, and
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基于opencv的图像和视频处理的软件。该软件实行了opencv的多种功能：边缘检测、拉氏变换、椒盐噪音、人脸识别、霍夫变换等功能。-Opencv-based image and video processing software. The software has multiple functions opencv: edge detection, Laplace transform, salt and pepper noise, face recognition, Hough transfo
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该程序主要实现人脸检测的功能，通过Hough圆的检测将人脸标示出来。-Face Detection
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在AdaBoost人脸检测的基础上,对眼睛实现精确定位。先得到人脸图像的谷区域图像,
再获取眼睛的候选点,综合分离度信息和霍夫变换的结果来计算每一个眼睛对的代价函数,找到比较
准确的眼睛位置。-In the AdaBoost face detection based on the accurate positioning of the eyes. Obtain prior approval from the image of the Valley area face images,
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NUDT数字图像分析课程设计，包括四个模块分别为人脸识别、运动目标检测、图像匹配、hough变换提取圆-NUDT digital image analysis program design, including the four modules are face recognition, object detection, image matching, hough transform to extract round
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