Visual Computing--Microsoft group
2015-11-30 09:37
190 查看
Visual Computing
Computer Vision is an exciting new research area that studies how to make computers efficientlyperceive, process, and understand visual
data such as images and videos. The ultimate goal is for computers to emulate the striking perceptual capability of human eyes and brains, or even to surpass and assist the human in certain ways. The Visual Computing Group at Microsoft Research Asia consists
of an elite team of researchers and engineers whose expertise spans the entire spectrum of research topics in computer vision, from mathematical theory to practical applications, from physical systems to software development, and from low-level image processing
to high-level image understanding. Research results from our group have made fundamental impacts on many important applications such as New High-Resolution Cameras, Face Recognition, Image Search, Virtual Earth, and Graphics & Games.
More specifically, our research activities are centered around several main research thrusts:
Imaging and Photogrammetry, including high-resolution cameras, radiometric calibration,
photometric stereos, 3D imaging and video, and image and video enhancement.
Pattern Recognition and Statistical Learning, including data clustering and classification,
manifold learning, and high-dimensional geometry and statistics.
Object Detection and Recognition, including face detection, alignment, and tagging,
video-based face recognition, and sparsity-based robust face recognition.
Dynamical Vision, including object tracking, video motion analysis and edition, video
summarization, video motion and object segmentation, dynamical photometric stereo.
Interactive and Internet Vision, including interactive image segmentation, completion,
and normal reconstruction, and image search and re-ranking, and large scale image and object retrieval, large volume of images visualization.
We are constantly looking for top researchers in the above areas to join our group at all levels. Please contact the group manager Yi Ma if interested.
Tutorial on Robust PCA and its Applications by John, Zhouchen, and Yi at International
Conference on Image Processing, Hongkong, September 2010.
Tutorial on Photometric Stereo by Yasuyuki, Bennett, and Moshe at International Conference
on Image Processing, Hongkong, September 2010.
The group manager Yi Ma was interviewed by CNN about an article "Why
Face Recognition isn't Scary -- yet." July 9, 2010
Our group has 15 papers published at the IEEE international conference on Computer Vision
and Pattern Recognition (CVPR), June 2010.
The group manager Yi Ma gave the plenary speech at the international conference on Visual
Communications and Image Processing, July 2010.
Microsoft Research featured story "Yi
Ma and the Blessing of Dimensionality." May 28, 2010.
A new giga-pixel digital camera is developed by our researcher Moshe Ben-Ezra.
People
![](http://research.microsoft.com/en-us/people/i/jifdai.png)
Jifeng
Dai
![](http://research.microsoft.com/en-us/people/i/kahe.png)
Kaiming
He
![](http://research.microsoft.com/en-us/people/i/jiansun.png)
Jian
Sun
![](http://research.microsoft.com/en-us/people/i/yichenw.png)
Yichen
Wei
![](http://research.microsoft.com/en-us/people/i/fangwen.png)
Fang
Wen
![](http://research.microsoft.com/en-us/people/i/davidwip.png)
David
Wipf
![](http://research.microsoft.com/en-us/people/i/luyuan.png)
Lu
Yuan
Overview
Computer Vision is an exciting new research area that studies how to make computers efficientlyperceive, process, and understand visualdata such as images and videos. The ultimate goal is for computers to emulate the striking perceptual capability of human eyes and brains, or even to surpass and assist the human in certain ways. The Visual Computing Group at Microsoft Research Asia consists
of an elite team of researchers and engineers whose expertise spans the entire spectrum of research topics in computer vision, from mathematical theory to practical applications, from physical systems to software development, and from low-level image processing
to high-level image understanding. Research results from our group have made fundamental impacts on many important applications such as New High-Resolution Cameras, Face Recognition, Image Search, Virtual Earth, and Graphics & Games.
More specifically, our research activities are centered around several main research thrusts:
Imaging and Photogrammetry, including high-resolution cameras, radiometric calibration,
photometric stereos, 3D imaging and video, and image and video enhancement.
Pattern Recognition and Statistical Learning, including data clustering and classification,
manifold learning, and high-dimensional geometry and statistics.
Object Detection and Recognition, including face detection, alignment, and tagging,
video-based face recognition, and sparsity-based robust face recognition.
Dynamical Vision, including object tracking, video motion analysis and edition, video
summarization, video motion and object segmentation, dynamical photometric stereo.
Interactive and Internet Vision, including interactive image segmentation, completion,
and normal reconstruction, and image search and re-ranking, and large scale image and object retrieval, large volume of images visualization.
We are constantly looking for top researchers in the above areas to join our group at all levels. Please contact the group manager Yi Ma if interested.
Group News & Activities:
Tutorial on Robust PCA and its Applications by John, Zhouchen, and Yi at InternationalConference on Image Processing, Hongkong, September 2010.
Tutorial on Photometric Stereo by Yasuyuki, Bennett, and Moshe at International Conference
on Image Processing, Hongkong, September 2010.
The group manager Yi Ma was interviewed by CNN about an article "Why
Face Recognition isn't Scary -- yet." July 9, 2010
Our group has 15 papers published at the IEEE international conference on Computer Vision
and Pattern Recognition (CVPR), June 2010.
The group manager Yi Ma gave the plenary speech at the international conference on Visual
Communications and Image Processing, July 2010.
Microsoft Research featured story "Yi
Ma and the Blessing of Dimensionality." May 28, 2010.
A new giga-pixel digital camera is developed by our researcher Moshe Ben-Ezra.
People
![](http://research.microsoft.com/en-us/people/i/jifdai.png)
Jifeng
Dai
![](http://research.microsoft.com/en-us/people/i/kahe.png)
Kaiming
He
![](http://research.microsoft.com/en-us/people/i/jiansun.png)
Jian
Sun
![](http://research.microsoft.com/en-us/people/i/yichenw.png)
Yichen
Wei
![](http://research.microsoft.com/en-us/people/i/fangwen.png)
Fang
Wen
![](http://research.microsoft.com/en-us/people/i/davidwip.png)
David
Wipf
![](http://research.microsoft.com/en-us/people/i/luyuan.png)
Lu
Yuan
相关文章推荐
- 火狐浏览器设置页面缩放比例方法
- php curl抓取网页的介绍和推广及使用CURL抓取淘宝页面集成方法
- AdapterView及子类---介绍
- ExpandableListView时光轴及QQ分组代码分享
- YUV <-> RGB
- Eclipse 打开项目闪退的问题
- 中、美、印、日四国程序员大比拼
- 深度学习---开源框架(Github)
- IOS-32-AFNetworking中与安全相关的AFSecurityPolicy模块详解
- Coursera 机器学习笔记(七)
- word添加页眉后文字下方那条横线如何去掉?
- 威尔士柯基犬,计算机视觉,以及深度学习的力量
- python语法笔记(一)
- Struts2:入门
- spring3.1和quatz2实现数据库持久化和动态加载
- HDU 5584 LCM Walk (2015ACM/ICPC亚洲区上海站)
- set echo on/off,set term on/off,set feedback off,set heading off命令
- 如何在Mac OS X上安装和使用Visual Studio Code和ASP.NET 5(转)
- iOS~block的使用
- Java IO Demo