Kristin Dana receives NSF Grant


Professor Kristin Dana has won a new NSF award for the project titled "Seeing Surfaces: Actionable Surface Properties from Vision." This is a three year $500,000 collaborative effort between Rutgers University (Kristin Dana, PI) and Drexel University. Rutgers' share of this award is $249,931.00.

As part of this project, Kristin and her team will develop models and algorithms for estimating actionable, physical properties of surfaces from their appearance for applications in scene understanding, robotic action planning, and efficient visual sensing. The research will address the fundamental question of how computer vision can anticipate the physical properties of a surface, laying the foundation for computational vision-for-action. The research activities are centered on four specific aims: 1) large-scale data collection of actionable physical properties and appearance measurements of everyday surfaces, 2) derivation of prediction models for deducing physical properties from local surface appearance, 3) integration of global semantic context including object and scene information, and 4) development of efficient appearance-capture optics and hardware for use in novel physics-from-appearance sensing.

You can find more details on the project at the NSF page here.

Congratulations Kristin!