Ruzena Bajcsy

Research Interests

Medical Image processing: My research concentrates on algorithms that can distinguish normal variability of morphology as manifested in various radiological images from abnormal.

In the past we developed anatomical atlases for the brain and deformable matching algorithms that could create individual atlases as a norm for establishing base line what is normal versus abnormal. Now we are extending this methodology to MEG,EEG images.

Embedded systems for monitoring elderly:
We are concentrating on detecting Falling as an undesirable activity versus all other physical activities. Our biggest concern is to prevent false positive detections.

Research Summary

Medical Image processing: My research concentrates on algorithms that can distinguish normal variability of morphology as manifested in various radiological images from abnormal.

In the past we developed anatomical atlases for the brain and deformable matching algorithms that could create individual atlases as a norm for establishing base line what is normal versus abnormal. Now we are extending this methodology to MEG,EEG images.

Embedded systems for monitoring elderly:
We are concentrating on detecting Falling as an undesirable activity versus all other physical activities. Our biggest concern is to prevent false positive detections.

Selected Publications

“Evaluation of Computer Vision Algorithms:  The Role of Theory”, S.S. Beauchemin and R. Bajcsy, Kluwer Academic Publishers, 1998.45(A)

“Inferring 2D Object Structure from the Deformation of Apparent Contours”, I. Kakadiaris, D. Metaxas, Bajcsy, Computer Vision and Image Understanding 65: 2, pp. 129-147 (Feb. 1997).

“When and Where Will AI Meet Robotics? Issues in Representation”, R. Bajcsy and E. Large, AI Magazine, American Association for Artificial Intelligence, 1999.

“Tele-Immersive Environments for Education”, INSIGHT, Vol.2, pages 73-85, 2002..     

Isler,V. and R. Bajcsy : The Sensor Selection problem for Bounded Uncertainty Sending models, IEEE Transaction Automation Science and engineering, 3(4):372-281,October, 2006. 

“Single View Point Omniddirectional Catadioptric Cone Mirror Imager” IEEE Transaction on Pattern Analysis and Machine Intelligence, vol28,.no.5,pp.840- 845,May 2006 (co-author Schi-Schon-Lin)50.

”Learning physical activities in immersive virtual environments”. Journal Of Multimedia, Vol. 1. Issue 7,pp.1-8. November/December, 2006.(Co-author S.H Jung)

“Humans in real and Virtual Space: Studies of Interaction and collaboration Mediated by Information technology”. In special Issue on: Women in Robotics,JRSJ, Vol. 24.No.5.2006.

“Single View-Point Catadioptric Cone Mirror Omni-directional Imaging: Theory andAnalysis, JOSA-A 2006.