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[Special Effects] Flow DL : 0: This code implements two variations of the paper \"High accuracy optic flow using a theory for warping\" presented at ECCV 2004 by Dr. Thomas Brox.
Update : 2008-10-13 Size : 1.69mb Publisher : sssss
[Books] The Generalized PatchMatch Correspondence Algorithm -eccv2010.pdf DL : 1: 2010年ECCV图像块匹配文章很不错
Update : 2010-12-21 Size : 6.46mb Publisher : qinyaohuiwxj@163.com
[Special Effects] Flow DL : 0: This code implements two variations of the paper "High accuracy optic flow using a theory for warping" presented at ECCV 2004 by Dr. Thomas Brox.
Update : 2025-02-17 Size : 1.69mb Publisher :
[Special Effects] eccv06 DL : 0: In this paper, a novel scale- and rotation-invariant interest point detector and descriptor, coined SURF (Speeded Up Robust Features) is presented. It approximates or even outperforms previously proposed schemes with respect to repeatability, distinctiveness, and robustness, yet can be computed and compared much faster. This is achieved by relying on integral images for image convolutions by building on the strengths of the leading existing detectors and descriptors (in casu, using a Hessian matrix-based measure for the detector, and a distribution-based descriptor) and by simplifying these methods to the essential. This leads to a combination of novel detection, description, and matching steps. The paper presents experimental results on a standard evaluation set, as well as on imagery obtained in the context of a real-life object recognition application. Both show SURF’s strong performance.-In this paper, a novel scale- and rotation-invariant interest point detector and descriptor, coined SURF (Speeded Up Robust Features) is presented. It approximates or even outperforms previously proposed schemes with respect to repeatability, distinctiveness, and robustness, yet can be computed and compared much faster. This is achieved by relying on integral images for image convolutions by building on the strengths of the leading existing detectors and descriptors (in casu, using a Hessian matrix-based measure for the detector, and a distribution-based descriptor) and by simplifying these methods to the essential. This leads to a combination of novel detection, description, and matching steps. The paper presents experimental results on a standard evaluation set, as well as on imagery obtained in the context of a real-life object recognition application. Both show SURF’s strong performance.
Update : 2025-02-17 Size : 670kb Publisher : yangwei
[Special Effects] GraphMatching-v1.0.src.tar DL : 0: 一种对于图匹配优化问题对偶分解的算法实现-An implementation of a dual decomposition technique for the graph matching optimization problem described in Feature Correspondence via Graph Matching: Models and Global Optimization. Lorenzo Torresani, Vladimir Kolmogorov and Carsten Rother. In European Conference on Computer Vision (ECCV), October 2008.
Update : 2025-02-17 Size : 47kb Publisher : illusionme
[Special Effects] Compressive_Sensing_for_Background_Subtraction DL : 0: 压缩传感用于背景建模的一篇文章，ECCV的文章，有一定的价值。-compressed sensing for background subtraction
Update : 2025-02-17 Size : 610kb Publisher : 杨俊
[matlab] eccv10guidedfilter DL : 0: eccv2010 guide filter 论文加源代码可以实现去雾边缘化等操作 -eccv 2010 guide filter paper and source code
Update : 2025-02-17 Size : 5.21mb Publisher :
[matlab] TVL1_HCS_v1 DL : 0: TVL1重建从混合压缩采样，rice大学泊松分布图像重建与全变分正规化的代码-Note: (1)Fore small-scale data, hybrid sampling consists of Bernoulli random sampling and low-resolution sampling (TVL1_HCS) (1)Fore large-scale data, hybrid sampling consists of Fourier radial sampling and low-frequency sampling (TV_RecPF) Copyright (C) 2010 Xianbiao Shu, Computer Vision and Robotics Lab, University of Illinois at Urbana-Champaign. Acknowledgement: RecPF (Rice University) PDCO (Stanford University) Twister (MIT) Reference: X. Shu, N. Ahuja, Hybrid Compressive Sampling via a New Total Variation TVL1, In Proceedings of ECCV 2010. Usage: >> run_me_first >>[Im_rec, PSNR_est1,PSNR_est2] = TVL1L2_HCS_test( Ball1_32.bmp , 0.35,3) >>[Im_rec, PSNR_est1,PSNR_est2] = TVL1L2_HCS_test( Ball1_32.bmp , 0.35,3) >>[Im_rec, PSNR1, PSNR2, G_error, Ratio] = TV_RecPF_test( Chest.png , 5, 10, 0, 1e-10, 0)
Update : 2025-02-17 Size : 896kb Publisher : liuyaxin
[Special Effects] Face-Recognition-Gabor-Occlusion DL : 0: 发表于ECCV上的一篇用于人脸识别的算法，Gabor Feature based Sparse Representation for Face Recognition with Gabor Occlusion Dictionary -At ECCV on an algorithm for face recognition, Gabor Feature based Sparse Representation for Face Recognition with Gabor Occlusion Dictionary
Update : 2025-02-17 Size : 13kb Publisher : joe
[Graph Recognize] v1s-0.0.5.tar DL : 0: V1S 0.0.5 -- Basic V1-Like (simple cells) Object Recognition System -Why is Real-World Visual Object Recognition Hard? (2008) Pinto N, Cox DD, DiCarlo JJ PLoS Computational Biology Vol. 4, No. 1, e27 doi:10.1371/journal.pcbi.0040027 Establishing Good Benchmarks and Baselines for Face Recognition (2008) Pinto N, Dicarlo JJ, Cox DD ECCV 2008 Faces in Real-Life Images Workshop.
Update : 2025-02-17 Size : 19kb Publisher : LUCY
[Special Effects] SIFTflow DL : 0: 整个场景和应用的密集通讯。 IEEE模式分析与机器智能（TPAMI），2010。如果您使用您的研究，我们的代码，请举出我们的报纸。另外，请注意到有包ECCV版本相比略有变化。已获得密集的SIFT特征mexed。请运行demo.h第一。如果出现错误，请去“mexDenseSIFT”和的“mexDiscreteFlow”子文件夹，并按照readme.txt文件的说明（是的，有readme.txt文件中的每个文件夹）编译cpp文件。-Dense Correspondence across Scenes and its Applications. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2010. Please cite our paper if you use our code for your research. Also, please notice that there is slight change in the package compared to the ECCV version. Obtaining dense SIFT features has been mexed. Please run demo.h first. If error appears, please go to "mexDenseSIFT" and "mexDiscreteFlow" subfolders and follow the instructions in readme.txt (yes, there is readme.txt in each folder) to compile the cpp files.
Update : 2025-02-17 Size : 669kb Publisher : cf
[matlab] proposals DL : 0: ECCV 2010 paper "Category Independent Object Proposals"的实现。-ECCV 2010 paper "Category Independent Object Proposals" code
Update : 2025-02-17 Size : 15.75mb Publisher : jim
[Technology Management] 10.2.3 DL : 0: These are one implementations of the algorithm for Face Recognition on CMU Multi-PIE. Please refer to the following paper Meng Yang, Lei Zhang, and David Zhang, "Efficient Misalignment Robust Representation Representation for Real-Time Face Recognition Classification," In Proc. ECCV 2012.
Update : 2025-02-17 Size : 9.9mb Publisher : raji
[Special Effects] harandi_cvpr_2011_matlab DL : 0: 2012 ECCV 稀疏编码和字典学习- Sparse Coding and Dictionary Learning for Symmetric Positive Definite Matrices: A Kernel Approach. European Conference on Computer Vision (ECCV), pp. 216-229, 2012.
Update : 2025-02-17 Size : 1.36mb Publisher : xukelele
[OpenCV] Compressive-Tracking DL : 0: ECCV上Kaihua Zhang的Compressive Tracking：理论高深的吓人，源码简单的吓人。是目前为止我试过的off-the-shelf的tracker中跟踪效果最好的，不用调任何参数，绝对实时。绝对能运行，欢迎下载。-ECCV on Kaihua Zhang Compressive Tracking: Theory profound scary, the source simply scary. I ve tried so far off-the-shelf tracker to track the effect of the best, do not tune any parameter, absolute real-time. Absolutely can run, welcome to download.
Update : 2025-02-17 Size : 7.58mb Publisher : zoe
[File Format] (ECCV) DL : 0: 图像处理最前沿的研究成果，主要是图像分割方面的最近的重要国际会议的文章。-The most cutting-edge research in image processing, image segmentation important international conferences in recent articles.
Update : 2025-02-17 Size : 3.7mb Publisher : zhangkun
[Graph Recognize] AGAST-corner-detector DL : 0: 多尺度快速角点检测算法（FAST).Adaptive and generic corner detection based on the accelerated segment test. Computer Vision–ECCV 2010-Multi-scale fast corner detection algorithm (FAST) Adaptive and generic corner detection based on the accelerated segment test. Computer Vision-ECCV 2010
Update : 2025-02-17 Size : 39kb Publisher : 陶佳秋
[Special Effects] guided-filter- DL : 0: guided image filter 是ECCV的最佳论文并发表与PAMI上，这是其代码实现的图像增强-guided image filter is the ECCV the best paper published on PAMI, this is their code to achieve image enhancement
Update : 2025-02-17 Size : 44kb Publisher : 姒绍辉
[Special Effects] eccv-10 DL : 0: Real-time Specular Highlight Removal实现论文“Real-time Specular Highlight Removal Using Bilateral Filtering”中算法-Real-time Specular Highlight Removal Papers " Real-time Specular Highlight Removal Using Bilateral Filtering" in the algorithm
Update : 2025-02-17 Size : 1.78mb Publisher : sunhao
[Multimedia Develop] eccv2004 DL : 0: Optical flow technique which is proposed on eccv 2004 is attached. It is very helpful and simple
Update : 2025-02-17 Size : 737kb Publisher : JUHWAN LEE

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