news:

October 3, 2008

The new website is mostly online now. Just a few more holes to fill in here and there.

September 24, 2008

I am transitioning to a new website layout. Please bear with me.

Research Projects

These are some of the projects I have worked on recently. For published results, the thumbnail images link to a detailed project description page including links to papers, posters, presentations, videos, and more.

3-D Deformable Vehicle Model

3-D Deformable Vehicle 3-d shape recovery from passive imagery is a difficult problem. Purely bottom-up approaches usually encounter far to many ambiguities to produce accurate and dense 3-d surface data. Working top-down it is possible to match specific 3-d models to images, but this process is not useful for computing the shape of unknown objects. This project finds middle ground by fitting a deformable shape model to images. The model is specific to a class of objects (vehicles in this case) and contains information about the prior probablity of each shape.

Inexpensive Handheld Laser Scanning

Laser Scanner Scanning the shape of objects in 3-d typically requires expensive scanning systems that are difficult to use and require constant recalibration. The goal of this project is to build a simple hand-held scanning system that addresses these problems. Our design uses inexpensive off-the-shelf components (a laser pointer, a pair of cameras, and a glass rod) to capture highly accurate 3-d point clouds. We use a new planar light constraint that offers improvements over previous work in this area. Read more ...

Background and Shadow Models

Vehicle Shadow This project is about building video background models. The code is based on my C++ statistical modeling generic library (i.e. templates in the style of STL). Standard background modeling usually can not separate a moving foreground object from its moving cast shadow. This work explores using 3-d models to predict the shadow and help learn appearance based shadow and background models. The working example is video of traffic surveillance. Read more ...

Plausible Physics in Augmented Images

Augmented Image This project combines plausible physics simulation and augmented reality. Starting with a series of images of a static scene taken from multiple unknown viewpoints, the system automatically reconstruct an augmented world. This allows users to virtually toss objects into the world. The virtual objects interact with each other and with real world objects according to plausibly realistic phyics simulations. Virtual objects also cast shadows onto, and may be occluded by, the real scene. Read more ...

Epipolar Curve Tracking in 3-D

Reconstructed Curves A translating object that does not undergo rotation with respect to a camera induces a strong constraint on tracking. All 3-d points on such an object with diverge from, or converge to, a single image vanishing point. This point is the common epipole of any pair of frames. Given this constraint, it is possible to overcome the aperature problem and uniquely correspond points along curves. This project applies the problem to tracking and 3-d reconstruction of curves on vehicles. Read more ...