Computer vision labs

Computer vision labs的相关文章

My Reading List - Machine Learning && Computer Vision

本博客汇总了个人在学习过程中所看过的一些论文.代码.资料以及常用的资源与网站,为了便于记录自身的学习过程,将其整理于博客之中. Machine Learning (1) Machine Learning Video Library - Caltech说明:罗列了机器学习的常用算法以及机器学习图谱 (2) Deep Learning - Bengio 说明:Deep Learning三大牛之一Bengio写的一本书 (3) Understanding LSTM Networks 说明:非常棒的LS

Graph Cut and Its Application in Computer Vision

Graph Cut and Its Application in Computer Vision 原文出处: http://lincccc.blogspot.tw/2011/04/graph-cut-and-its-application-in.html 网络流算法最初用于解决流网络的优化问题,比如水管网络.通信传输和城市的车流等.Graph cut作为其中一类最常见的算法,用于求解流网络的最小割,即寻找一个总容量最小的边集合,去掉这个集合中的所有边将阻断这个网络.图像和视频也能被视作网络(或者

Analyzing The Papers Behind Facebook's Computer Vision Approach

Analyzing The Papers Behind Facebook's Computer Vision Approach Introduction You know that company called Facebook? Yeah, the one that has 1.6 billion people hooked on their website. Take all of the happy birthday posts, embarrassing pictures of you

Computer Vision的尴尬---by林达华

Computer Vision的尴尬---by林达华 Computer Vision是AI的一个非常活跃的领域,每年大会小会不断,发表的文章数以千计(单是CVPR每年就录取300多,各种二流会议每年的文章更可谓不计其数),新模型新算法新应用层出不穷.可是,浮华背后,根基何在?对于Vision,虽无大成,但涉猎数年,也有管窥之见.Vision所探索的是一个非常复杂的世界,对于这样的世界如何建模,如何分析,却一直没有受普遍承认的理论体系.大部分的研究工作,循守着几种模式:o    从上游学科(比如立

[新书推荐]A Practical Introduction to Computer Vision with OpenCV

一本opencv好书,  在我上传的资源里 http://download.csdn.net/detail/qq_21970857/8504829 Computer Vision is a rapidly expanding area and it is becomingprogressively easier for developers to make use of this field dueto the ready availability of high quality librari

Computer Vision: OpenCV, Feature Tracking, and Beyond--From <<Make Things See>> by Greg

In the 1960s, the legendary Stanford artificial intelligence pioneer, John McCarthy, famously gave a graduate student the job of “solving” computer vision as a summer project. It has occupied an entire community of academic researchers for the past 4

翻译:Mastering OpenCV with Practical Computer Vision Projects(第8章)(二)

/******************************************************************************************************************************************************************************************翻译:Mastering 请接着上一篇:OpenCV with Practical Computer Vision Proje

Computer Vision Algorithm Implementations

Participate in Reproducible Research General Image Processing OpenCV (C/C++ code, BSD lic) Image manipulation, matrix manipulation, transforms Torch3Vision (C/C++ code, BSD lic) Basic image processing, matrix manipulation and feature extraction algor

Deep Learning for Computer Vision with MATLAB and cuDNN(译文)

翻译水平有限,欢迎阅读原文 一.深度学习 当前,深度学习已经成为一个热门话题.随着深度学习算法和GPU技术的发展,我们已经能够解决许多领域(计算机视觉.自然语言处理和机器人学)曾经认为不可能的事情. 深度学习是建立在传统的深度神经网络之上的.最近几年的热点是大数据集和强大的GPUs的使用.神经网络本质上是一种并行算法,因此多核GPUs的使用能够明显的减少用于训练深度神经网络的时间.以下,我将会讨论如何使用MATLAB以及深度卷积神经网络和GPUs开发一个对象识别系统 二.为什么将深度学习用于计算