The goal of computer vision research is to endow computers with the ability to understand still and moving imagery. Although we, as human beings, can make sense of photographs and video, to a computer they're just an array of numbers representing each pixel's brightness and color value. How can we get from this array of numbers to the understanding that there is a girl playing with a ball in front of a building? Who is the girl? How high is she throwing the ball? What is the underlying structure of the house? These are the sort of questions we are interested in. There is computer vision research going on in many groups at Microsoft. Please navigate to each group page for more information.

Primary Contact: P. Anandan
Wexler, Yonatan
Affiliate Members
Anandan, P.	Baker, Simon	Basu, Sumit	Bishop, Christopher
Blake, Andrew	Criminisi, Antonio	Drucker, Steven	Hoppe, Hugues
Photo Not Available Jojic, Nebojsa	Kang, Sing Bing	Liu, Zicheng	Rother, Carsten
Rui, Yong	Shafer, Steven	Shum, Harry	Smith, Greg
Steedly, Drew	Sun, Jian	Szeliski, Rick	Tashev, Ivan
Torresani, Lorenzo	Uyttendaele, Matt	Winder, Simon	Xiao, Rong
Zhang, Lei	Zhang, Zhengyou

• Interactive Visual Media (IVM)
• Collaborative and Multimedia Systems (CoMedia)
• Visual Computing (VC)
• Media Computing
• Machine Learning and Perception (MLP)
• Ubiquitous Computing (UbiComp)
• Adaptive Systems and Interaction (ASI)
• Graphics
• Internet Media
• Machine Learning and Applied Statistics (MLAS)
• Signal Processing

• Computer Vision Home Page
• Vision and Imaging Hot Links
• Intelligent Environments Home Page
• Face Recognition Home Page
• Perceptual User Interfaces Workshop (PUI)
• PAMI Technical Committee of IEEE Computer Society