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Yanghai Tsin
PhD Student

No longer a member of RI.

For more information, see my personal homepage.

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Research interests

I am interested in automatically extracting statistical invariants from visual signals. These invariants can be physically meaningful, such as reflectance, illuminant spectra, 3D relative positions and camera parameters; and they can be transformed version of such physically meaningful invariants. The extracted, or learned information will be stored as non-parametric distributions. And they can be integrated into a Bayesian inference framework that can help an intelligent agent to further explore the world. I am working toward developing the algorithms and applying them to typical vision problems such as color constancy, object recognition and structure from motion.

In addition, I am studying texture models and its interaction with lighting effects, such as penumbra and shadows.

Research interest keywords

3-D perception, computer vision, geometric modeling, graphics, machine learning, object recognition, statistics, stereo vision, and visual tracking

Past Labs & Groups

Computational Symmetry - We are develping techniques for applying computational symmetry (symmetry detection, representation, and reasoning) in computer vision, graphics and robotics.
Video Surveillance and Monitoring - Coordinated video surveillance system

Past Projects

A Computational Model for Repeated Pattern Perception using Crystallographic Groups - We are developing a computational model for repeated pattern perception that is able to automatically classify a given pattern into one of the 7 frieze groups, one of the 17 wallpaper groups, or one of the 230 space groups.
Texture Replacement in Real Images - We are developing methods to replace some specified texture patterns in an image while preserving lighting effects, shadows and occlusions.

Recent publications [View all 16 publications]


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