搜索资源列表
LS_line_detion
- 比较新的一个直线特征提取算法，发表在ICCV上，LS匹配中所采用的方法，效果很好，值得学习-A relatively new line feature extraction algorithm, published in ICCV on, LS matching method used, the effect is very good, it is worth learning
Timofte-ICCV-2013
- Anchored Neighborhood Regression for Fast Example-Based Super-Resolution
11
- 去雾代码,非常有效，有必要仔细读一下 17/11/2009 Author: J.-P. Tarel LCPC-INRETS copyright completed and corrected in 18/08/2010 and in 29/09/2010 This algorithm is described in details in "Fast Visibility Restoration from a Single Color or Gray
Interactive-Image-Segmentation
- 交互式图像分割，是根据Yuri Boykov and Marie-Pierre Jolly的文章，用C++和OpenCV实现的-Automatic image segmentation is a hard problem and, is not flexible enough to be used for general segmentation. The objective of this project is to implement an interactive image segment
ufo
- Salient Region Detection by UFO: Uniqueness, Focusness and Objectness 源码，2012年iccv发表的显著性检验文章-the code of the paper Salient Region Detection by UFO: Uniqueness, Focusness and Objectness in iccv2012
ComputerVision
- 基于投影M估计量的稳健回归方法，用于估计计算机视觉立体像对间的Fundamental Matrix。Fundamental Matrix，参考文献：H. Chen, P. Meer, Robust regression with projection based M-estimators. 9th International Conference on Computer Vision (ICCV), Nice, France, October 2003, 878-885.PS：这是作者11年前本
SaliencyICCV2013
- 2013年ICCV显著区域检测论文Efficient Salient Region Detection with Soft Image Abstraction源码-2013 ICCV salient region detection paper Efficient Salient Region Detection with Soft Image Abstraction Source
2013-ICCV-CASS-tracelasso
- 关于图像分割的文章，利用CASS-TRACE进行的图像处理，是数学方法，具有很好的价值-Articles about the image segmentation, image processing CASS-TRACE conducted mathematical methods, with good value
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
siftDemoV4
- SIFT，即尺度不变特征变换（Scale-invariant feature transform，SIFT），是用于图像处理领域的一种描述。这种描述具有尺度不变性，可在图像中检测出关键点，是一种局部特征描述子。[1] 该方法于1999年由David Lowe[2] 首先发表于计算机视觉国际会议（International Conference on Computer Vision，ICCV），2004年再次经David Lowe整理完善后发表于International journal of c
iccv13_saliency1
- 13年iccv显著性的最近文献，实现了显著性检测-Saliency Detection via Dense and Sparse Reconstruction
trackbydet
- 这是用于城市环境下车辆目标跟踪算法，对于公路上录制车辆的视频，能够检测出前方运动的车辆，并进行跟踪。-This is the tracking code that has been used for computing the tracklets urban scene understanding. papers: author = {Hongyi Zhang and Andreas Geiger and Raquel Urtasun}, title = {Understandi
FDDL
- ICCV paper 《Fisher Discrimination Dictionary Learning for Sparse Representation 》 源码-ICCV paper 《Fisher Discrimination Dictionary Learning for Sparse Representation 》 CODE and pdf
SRC
- Lei Zhang, Meng Yang, and Xiangchu Feng, Sparse Representation or Collaborative Representation: Which Helps Face Recognition? in ICCV 2011 源代码-Lei Zhang, Meng Yang, and Xiangchu Feng, Sparse Representation or Collaborative Representation: Whic
EDLinesTest
- EDLines是一种快速直线检测算子，2012年在ICCV上提出，也是目前处理直线检测最快的算法之一，该算法包含三个步骤：（1）边缘提取：利用Edge Drawing (ED)算法[28,29]从灰度图像中提取边缘片段；（2）线段检测：利用最小二乘法提取直线段；（3）线段确认：遵循Helmholtz定律，从已提取的直线段中摒弃虚假线段。EDLines算法的优越性得益于Edge Drawing (ED)算法能够从灰度图像中准确、快速、稳定地提取出光滑、完整的边缘片段。Edge Drawing (E
deblur_saturation_v0.1
- 这是图像盲去卷积的算法，实际上我们都不能知道图像的psf，因此要先对其进行估计。对于包中给的例子复原的不错。- Matlab code for Deblurring Shaken and Partially Saturated Images Author: Oliver Whyte <oliver.whyte@ens.fr> Version: 0.1 Date: November 20, 2011 Copyright: 2011, Ol
code_aog
- 一个基于SVM和高斯核的跟踪程序。速度很快。2014年ICCV最佳-A tracking program based on SVM and Gauss kernel. Fast speed
Code_including_Spectral_Matching
- 利用基于图谱理论进行图谱匹配，从而进行目标识别。参考资料 2005 ICCV A Spectral Technique for Correspondence-Using the map theory based on the map matching, so as to identify the target. Reference material： 2005 ICCV A Spectral Technique for Correspondence
CF2-master
- 2015 iccv Hierarchical Convolutional Features for Visual Tracking 视频跟踪的源码-2015 iccv Hierarchical Convolutional Features for Visual Tracking code
gipuma-master
- 【2015-ICCV】-Massively Parallel Multiview Stereopsis by Surface Normal Diffusion (supplementary material)