Articles in this category have general applicability within computer vision, either theoretically or as some type of a model. Most of the work in this laboratory is towards effective models for shapes in 2D and 3D and 3D deformable models, i.e., 3D-shape over time.
This category discusses new courses, or novel aspects of classical courses that are developed as part of the goals of the laboratory to integrate teaching and education. Most novel aspects of educational work within the laboratory deal with how to design and instruct interdisciplinary courses.
The laboratory performs some work on low-level vision systems. Current work investigates how Digital Signal Processors (DSPs) can be combined with special purpose computing hardware as implemented in a Feild-Programmable Gate Array (FPGA) to generate mixed hardware/software systems that are more efficient in terms of power, performance, space, and stability.
A central theme of the laboratory work is interdisciplinary collaboration. One of the strongest interdisciplinary collaborations is with archaeologists and anthropologists from several institutions around the world. Work in this regard focuses on how newly developed digital technologies such as 3D scanning and digital imagery and computational techniques associated with these technologies can contribute to solving difficult problems in archaeology and anthropology.
Work within the medical field concentrates on developing 3D surface and volumetric models for estimating, analyzing and classifying shapes within medical images.