搜索资源列表
OpenCVrumen
- opencv入门教程，于仕琪老师撰写，对新手很有帮助-Opencv introductory tutorial, Yu Shiqi writing teacher, is very helpful for beginners
color_tranfer
- openCV中color_tanfer的实现-openCV implementation in color_tanfer
Vezba1
- OpenCv code practice
normalize
- 将opencv库中的normalize函数用c++实现出来，实现对图像的归一化处理-Opencv library will normalize function with c++ actualized, realized the image normalization process
histeq_opencv
- 采用opencv（vs2012）实现直方图均衡化，自己编写直方图均衡化程序，而非直接调用opencv自带函数-Using opencv (vs2012) achieve histogram equalization, histogram equalization write your own program, rather than a direct call function that comes opencv
OpenCV1.0-calibration
- 相机标定，采用opencv+vc相结合语言对相机进行标定-opencv+vc camera calibration
geany
- Envioroment Geany with python and opencv
OpenCVSegment
- 基于OPENCV的金字塔图像分割算法的实现，利用了Opencv的图形库进行图像分割。-Achieve OpenCV pyramid image segmentation algorithm based on the use of graphics library for image segmentation OpenCV
vedio-show
- vs2008结合opencv2.4.6实现一段视频的播放功能-opencv to achieve a video playback function
nihe-opencv
- 焊缝检测，通过焊缝边缘的点，拟合出新的直线，作为焊缝边缘-seam detection
Face_detection
- Face detection report in Matlab OpenCV.
LearningOpenCV_Code
- learning opencv中配有的详细代码-the codes the book-learning opencv
vision_lab_materials
- Opencv Detection Problem
Harris
- harris corner detection ppt documents and OpenCV image stitching Code
IplImage
- 在opencv中实现图片显示并使用独立窗口显示-In the OpenCV to achieve the image display and use independent window display
Face-detection-using-opencv-in-visual-studiio-201
- find the humen face in a picture or in a live video
OpenCV3-programming
- 介绍opencv相关知识的权威教程，里边介绍了opencv的相关库函数及应用，并有图像处理较典型的例程。-Opencv introduce the relevant knowledge and authoritative guide, which describes the correlation function and application opencv library, and there is more typical image processing routines.
Cinder-Creative-Coding-Cookbook
- 多媒体框架，学习掌握opencv quicktime c++，opengl等多项多媒体技术-opencv quick time c++ opengl ios math technology
099CCIT0394011-001
- 擴增實境技術是在真實視訊影像中加入虛擬物件，並透過追蹤與定位技術，可以與人們產生良好之互動效果。在視覺追蹤應用領域裡，可分為標記與無標記兩類應用。標記識別技術較為成熟，目前擴增實境開發平台以採用標記識別為主；至於無標記則侷限在特定方法之識別追蹤應用領域，例如樂高玩具利用包裝盒上之印刷圖片當作辨識物件。面對無標記擴增實境之應用日趨重要，且必須因應不同物件採用不同特徵之識別追蹤方法來達成無標記擴增實境之應用。而目前擴增實境平台並不提供模組化方式來替換識別追蹤方法，因此本文提出無標記擴增實境實驗平台，
ECDL2011_0962
- 影像視覺追蹤與定位技術可用於擴增實境之應用，依使用標記與否，可分為標記與無標記兩類技術。標記識別技術較為簡單，且較為成熟，但受限於需使用特殊之標記。無標記識別技術使用一般自然物件來取代特殊標記，應用較為彈性，但必須能正確擷取出欲辨識物件有用之特徵點。現有擴增實境之開發函式庫或開發平台，主要目的為提供擴增實境之應用開發，不提供無標記擴增實境技術研究方法之驗證。故本文深入研究探討如何整合ARToolKit、OpenCV與OpenGL等函式庫，設計無標記擴增實境整合平台。且此平台各項功能採用模組化設計