搜索资源列表
ifdef
- 人脸检测的C/C++源代码，曾发表于 OPENCV 的 MAILING LIST，主要是对OPENCV 3.1 版本发布的代码做了一些速度上的优化，并且解决了内存泄漏的问题。这个程序所使用的 Paul Viola 提出（该论文“Rapid Object Detection using a Boosted Cascade of Simple Features”发表在 CVPR 01）的 Ada Boosted Cascade 算法可以说是目前最好最快的目标检测算法。 -Face Detecti
mcKLR_mckNN
- This package includes two approaches to multi-class cost-sensitive learning, that is, mcKLR and mckNN. The descr iption of mcKLR can be found in our TPAMI paper and CVPR'08 paper; the descr iption of mckNN can be found in our TPAMI paper. Both approa
dark_channel_verify
- verify the idea of Single Image Haze removal Using Dark Channel prior, which is the best paper of CVPR in 2009 conference.
CVPR09-best-paper
- CVPR最佳论文，暗通道去雾。这里提供了一种实现方法的源代码。-CVPR09 best paper
CVPR2007_part_4
- 计算机视觉及模式识别国际会议（CVPR) 2007 大会报告：Combined segmentation and recognition-Computer Vision and Pattern Recognition International Conference (CVPR) 2007 report to the General Assembly: Combined segmentation and recognition
ZhouCVPR2010
- CVPR2010的一篇很牛的文章，通过在相机前段加一个滤镜，可以达到单幅图毫米级的深度估计-CVPR2010 very cattle in an article, by adding a filter preceding the camera can achieve a Single Figure millimeter depth estimation
CV_PR_AI_Conference-List
- 这里有一份比较全的计算机视觉、模式识别的国际会议列表(日历形式),已经从2011年排到了2014年,ICIP、CVPR、ICCV、BMVC等知名会议都在表上,从事相关领域研究的人可以参考。另外还有一份中国计算机学会推荐的人工智能、模式识别领域的国际会议列表。-Here is a relatively full of computer vision, pattern recognition list of the International Conference on (calendar form
Optimal-Estimation-of-Dynamic-System
- 经典最优统计的书，涉及到很多图像处理的方法，可以一读-09 CVPR article on the code to the fog, the classic image processing methods, you can change image to see different results.
Viola_Jones_CVPR2001
- Adaboost的首次提出，Paul Viola和Michael Jones在2001年的CVPR会议上-Adaboost was first proposed by Paul Viola and Michael Jones in the 2001 CVPR Conference
Entropy
- Code for calculating entropy images. examplescr ipt.m Main file. Step through the cells. References: C. Wachinger, N. Navab Structural Image Representation for Image Registration CVPR Workshops, Mathematical Methods in Biomedi
release.tar
- 斯坦福大学计算机系Andrew N.G教授于2011年CVPR发表文章Learning hierarchical spatio-temporal features for action recognition with independent subspace analysis，文件是实现的code，很有用哦-Andrew NG, Professor of the Department of Computer Science at Stanford University published in
Multi-Target-Tracking
- 利用连续能量函数最小化进行目标值追踪。在2011年发表于cvpr-Multi-Target Tracking by Continuous Energy Minimization，In CVPR, Colorado Springs, USA, June 2011
MilTrack_matlab_v1.0
- MATLAB demo for paper "Visual Tracking with Online Multiple Instance Learning" by Boris Babenko, Ming-Hsuan Yang, Serge Belongie ,CVPR 2009, Miami, Florida. -MATLAB demo for paper "Visual Tracking with Online Multiple Instance Learning" by Bori
demo_mtjsrc_OxfordFlower_17
- 此程序为袁晓彤CVPR论文“基于多任务联合稀疏表示的的视觉分类”的主代码部分-The program for Yuan Xiaotong CVPR paper " visual classification with Muti-task joint sparse representation" main code of the parts
High-accuracy-Optical-Flow
- High accuracy optical flow using a theory for warping-The files optical_flow_brox.m and optical_flow_sand.m are the files you need to run. optical_flow_brox.m implements the traditional algorithm. Just replace the first lines where images are
FaceRecognition-master
- 人脸识别，机器学习方法，cvpr很火的研究领域，本人下载后分享-face recognition deep learning method
incomplete_Cho_solution
- C++编写，CVPR牛文，实现chol不完全解的实现，程序可直接运行。-Written in C++, CVPR Niu, chol incomplete solution to achieve the realization of the program can be run directly. .
icaam
- icaam, G. Papandreou and P. Maragos, Adaptive and Constrained Algorithms for Inverse Compositional Active Appearance Model Fitting, Proc. IEEE Int l Conf. on Computer Vision and Pattern Recognition (CVPR-2008), Anchorage, AL, June 2008.
trackers
- 各种视觉跟踪算法总结，包括matlab和c,c++代码-This code library is for research purpose only. We distribute our library under the GNU-GPL license. If you use this library or the dataset, please cite our paper: [1] Y. Wu, J. Lim, and M.-H. Yang, ¡ °Online Obj
Histograms-of-Sparse
- Histograms of Sparse Codes for Object Detection,cvpr文章-Histograms of Sparse Codes for Object Detection