Research Interests

The majority of computer vision algorithms are based on interpreting only high-level features (edges, corners, contours etc). My research exploits the interaction of light and matter at a per pixel basis (photometry) in order to extract from every single pixel as much information as possible. My previous work on binocular stereo, on object recognition and on segmentation has shown that visual information can be reliably extracted by looking at the individual pixel values. Current research efforts are concentrating on understanding the light reflectance of human skin, on multispectral imaging and on shape extraction. I am also exploring the development of new imaging sensors that will help the user extract visual information that is not captured by today's sensors and is imperceptible with the naked eye.

Research Grants/Projects

GIVA: Grundlagestudie "Intelligente Videoanalyse". PIs: Elli Angelopoulou, Joachim Hornegger. BKA: ?36.000. Fall 2007.

WiNSeC: Large Networks of Wireless Agents and Sensors: Monitoring, Visualization, Simulation and Controlflectance and Geometric Properties of the Human Face. PIs: George Kamberov, Elli Angelopoulou. US Army TACOM-ARDEC: $130.848. 2004-2006.

NSF-CAREER: Exploring the Multispectral Frontier in Computer Vision. PIs: Elli Angelopoulou. NSF: $393.920. 2002-2007.

Reflectance and Geometric Properties of the Human Face. PIs: Elli Angelopoulou. NEC Research Institute: $16.500. 2001.

NSF-ITR: Interacting with the Visual World: Capturing, Understanding and Predicting Appearance. PIs: Shree Nayar, Jitendra Malik, Peter Belheumer, Pat Hanrahan, Elli Angelopoulou, Kristin Dana. NSF: $3,499,997. 2000-2005.