Ph.D. Computer Science Columbia University 1991 M.Phil. Computer Science Columbia University 1989 M.S. Computer Science Columbia University 1988 B.S. Mathematics and Physics Yale University 1981
Much of Computer Vision is concerned with the physical interpretation of a world scene from an image, or set of images. In the past decade the rapidly growing area of Physics-Based Vision has become of vastly increasing importance to the development of rigorous high performance Computer Vision algorithms for use in automated vision systems. Professor Wolff is studying a number of aspects of hyperspectral imaging which involves the understanding of imagery beyond the visible spectrum including infrared imaging and polarization vision. Polarization affords a more general description of light than does intensity, and can therefore provide a richer set of descriptive physical constraints for the interpretation of an imaged scene. Prof. Wolff is developing new polarization vision algorithms, and new types of sensors called polarization cameras that automatically sense and computational process polarization information. Prof. Wolff is also developing more accurate reflectance models for use in Computer Vision and Computer Graphics, as well as new photometrically based stereo vision algorithms for recovery of 3-D shape. Prof. Wolff has applied some of this work to Medical imaging.
COMPUTER VISION 600.461 FALL 1999
COMPUTER VISION 600.461 FALL 1998
NSF CISE GRANT
Physics-Based Vision: Principles and Practice, Volume 2: Color. Editors G. Healey, S. Shafer, L.B. Wolff. Jones and Bartlett Publishers Inc., 1992.
Physics-Based Vision: Principles and Practice, Volume 3: Shape Recovery.
Editors L.B. Wolff, S. Shafer, G. Healey. Jones and Bartlett Publishers
Wolff, L.B., Enhanced Capabilities For Battlefield Awareness Using Polarization Sensors, Appearing in the book on Reconnaisance, Surveillance, and Target Acquisition For the Unmanned Ground Vehicle: Providing Surveillance 'Eyes' for an Autonomous Vehicle, edited by Oscar Firschein, Tom Strat, Morgan Kaufmann Publishers, 1997. pp. 429-438.
N. Shashar, T.W. Cronin, G. Johnson, L.B. Wolff, Designs for
Submersible Imaging Polarimeters, Appearing in Ultraviolet Radiation
and Coral Reefs, 1995.
Wolff, L.B., Applications of Polarization Camera Technology,
IEEE EXPERT, October, 1995.
Wolff, L.B., Nayar, S.K., and Oren, M., Improved Diffuse Reflection Models For Computer Vision, International Journal of Computer Vision (IJCV), October 1998
Chen, H. and Wolff, L.B., A Polarization Phase-Based Method For Material Classification In Computer Vision, International Journal of Computer Vision (IJCV), June, 1998.
Kalayjian, Z, Andreou A., Wolff L.B., 1D Polarization Contrast Retina. Electronics Letters. September 1997, vol. 33, pp.38-40.
Wolff, L.B., Mancini, T., Pouliquen, P., and Andreou, A., Liquid Crystal Polarization Camera, IEEE Transactions on Robotics and Automation, April 1997.
Williams, J.P. and Wolff, L.B., Analysis of the Pulmonary Vascular Tree Using Differential Geometry Based Vector Fields, Journal of Computer Vision and Image Understanding (CVIU) February 1997.
Fan, J.. and Wolff, L.B., Surface Curvature and Shape Reconstruction From Unknown Multiple Illumination and Integrability, Journal of Computer Vision and Image Understanding (CVIU) February 1997.
Wolff, L.B., and Boult, T.E.. Constraining Object Features Using a Polarization Reflectance Model. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Special Issue on Physical Models For Computer Vision, July, 1991, pp. 635-657.
Wolff, L.B.. Polarization-Based Material Classification from Specular Reflection. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 12, No. 11, November 1990, pp. 1059-1071.
Wolff, L.B., and Kurlander, D.J.. Ray Tracing With Polarization Parameters.
IEEE Computer Graphics and Applications, November 1990, pp. 44-550.
Wolff, L.B., Lundberg, A., and Tang, R., Image Understanding From Polarization of Thermal Emission, IEEE conference on Computer Vision and Pattern Recognition (CVPR), June 1998, Santa Barbara.
Angelopoulou, A., Williams, J. and Wolff, L., A Curvature based descriptor invariant to pose and albedo derived from Photometric data, Proceedings of the IEEE conference on Computer Vision and Pattern Recognition (CVPR), June 1997, Puerto Rico, pp. 165-171
Wolff, L.B., and Socolinsky, D.A., Theory and Analysis of Color Discrimination for the Computation of Color edges Using Camera Sensors in Machine Vision, Proceedings of AIC Color 97: The 8th International Congress of the International Colour Association, Kyoto, Japan, May 1997.
Socolinsky, D.A., and Wolff, L.B., Accurate Visualization of the
CIE Color Surface in 3-Space, Proceedings of AIC Color 97: The 8th
International Congress of the International Colour Association, Kyoto,
Japan, May 1997.