搜索资源列表
opencv入门
- Open Source Computer Vision Library by Gary R. Bradski, Vadim Pisarevsky, and Jean-Yves Bouguet, Springer, 1st ed. (June, 2006).
camshiftdemo
- Gary R．Bradski提出CamShift算法，即"Continuously Adaptive Mean-Shift"算法。是以颜色直方图为目标模式的目标跟踪算法，可以有效地解决目标变形和部分遮挡的问题，而且运算效率很高。在视频跟踪过程中，CAMSHIFT算法利用选定目标的颜色直方图模型得到每帧图像的颜色投影图，并根据上一帧跟踪的结果自适应调整搜索窗口的位置和大小，得到当前帧中目标的尺寸和质心位置。-Gary R. Bradski CamShift proposed algorithm,
LearningOpenCV_Code
- 《learning opencv》书中源码 作者 Gary Bradski and Adrian Kaehler -《Learning OpenCV》 code Auther Gary Bradski and Adrian Kaehler
bgfg_codebook
- Example OpenCv // Background average sample code done with averages and done with codebooks // (adapted from the OpenCV book sample) // // NOTE: To get the keyboard to work, you *have* to have one of the video windows be active // and NOT
Learning_OpenCV
- 《学习OpenCV》，美国Gray Bradski著-Learning OpenCV, by Gray Bradski
opencv-ebook
- 学习OpenCV（中文版）计算机_人工智能_综合作者：(美)Gary Bradski Adrian Kaehler 计算机视觉是在图像处理的基础上发展起来的新兴学科。-Learning OpenCV (Chinese version) integrated computer _ _ Artificial Intelligence Author: (United States) Gary Bradski Adrian Kaehler image processing, computer visi
motion-tracking-and-implementation
- 目标跟踪是计算机视觉的一个重要分支,日益广泛应用于科学技术、国防安全、航空、医药卫生以及国民经济等领域。实现目标跟踪的关键在于完整地分割目标、合理提取特征和准确地识别目标,同时,要考虑算法实现的时间,以保证实时性。当视频图像中被跟踪目标发生姿态变化,存在旋转或部分遮挡时,简单的灰度模板或者Hausdorff距离匹配一般很难达到实时跟踪目标的要求,出现误匹配或者跟踪丢失的情况,而且跟踪效率较低。Gary R.Bradski提出的CAMSHIFT[1](Continu-ously Adaptive
Learning-opencv
- 《学习Opencv》中文版 Gary Bradski & Adrian Kaebler-Learning Opencv
Learning-OpenCV-
- <Learning OpenCV Computer Vision with the OpenCV Library>_Gary Bradski & Adrian Kaebler
Learning-OpenCV
- 学习opencv（中文版)，Gary Bradski Adrian Kaehler著，于仕琪 刘瑞祯译。-Learning opencv (Chinese Edition), Gary Bradski Adrian Kaehler forward, in Shi Qi Liu Rui Zhen translation.
Codebook_model
- Codebook model 视频抠像 xp sp3 + vs2005 + OpenCV 2.3.1-For a more detailed explanation of a “codebook” model refer to [reference: Gary Bradski and Adrian Kaehler: Learning Opencv, September 2008: First Edition. p. 278]. During the application of the
study-OPENCV-chinese-version
- study OPENCV 中文版 Gary Bradski Adrian Kaehler-study OPENCV
LearningOpenCV_Code
- 这是《学习OpenCV》这本书的源码。作 者（美）布拉德斯基（Bradski，G.），（美）克勒（Kaehler，A.） 著，于仕琪，刘瑞祯 译-This is source code of the book <Learning OpenCV>. Author:G., Bradski, Kaehler, A., Yu Shiqi, Liu Ruizhen.
orb_final
- ORB是是ORiented Brief的简称。在ORB的方案中，是采用了FAST作为特征点检测算子-Ethan Rublee and Vincent Rabaud and Kurt Konolige and Gary Bradski, ORB: an efcient alternative to SIFT or SURF, ICCV 2011
OReilly-Learning-OpenCV.pdf
- Learning OpenCV by Gary Bradski and Adrian Kaehler
OpenCV(中文版)
- 学习opencv的书籍，Gary Bradski Adrian Kaehler 著 于仕琪 刘瑞棋译(Introductions of opencv)