David Jacobs

Professor

4240 Iribe Center

(301) 405-6802

(301) 314-911

Academic Web Page

Research Group(s):

Center for Automation Research

University of Maryland Center for Machine Learning

Education:

Ph.D., MIT (Computer Science )

Special Awards/Honors:

2011 Edward O. Wilson Biodiversity Technology Pioneer Award

Biography:

David Jacobs is a professor of computer science with an appointment in the University of Maryland Institute for Advanced Computer Studies.

His research covers various aspects of computer vision and machine learning, with a focus on visual object recognition and handling lighting variations. Jacobs also explores image clustering, structure-from-motion, and the intersections of vision with user interfaces and graphics.

Go here to view Jacobs's academic publications on Google Scholar.

Publications

2000

Jacobs DW. 2000. What makes viewpoint invariant properties perceptually salient?: A computational perspective Perceptual organization for artificial vision systems. :121-138.

Jacobs DW, Malik J, Nevatia R. 2000. Breakout Session Report: Principles and Methods. Perceptual Organization for Artificial Vision Systems. :17-28.

Liu Z, Jacobs DW, Basri R. 2000. Perceptual Completion Behind Occluders: The Role of Convexity. Perceptual Organization for Artificial Vision Systems. :73-90.

1999

Weinshall D, Jacobs DW, Gdalyahu Y. 1999. Classification in non-metric spaces. Proceedings of the 1998 conference on Advances in neural information processing systems II. :838-844.

Jacobs DW, Basri R. 1999. 3-d to 2-d pose determination with regions. International Journal of Computer Vision. 34(2):123-145.

Liu Z, Jacobs DW, Basri R. 1999. The role of convexity in perceptual completion: beyond good continuation. Vision Research. 39(25):4244-4257.

Boyer KL, Sarkar S, Feldman J, Granlund G, Horaud R, Hutchinson S, Jacobs DW, Kak A, Lowe D, Malik J. 1999. Perceptual Organization in Computer Vision.

Jacobs DW. 1999. Linear fitting with missing data: applications to structure-from-motion and to characterizing intensity images. (6009437)

1998

Jacobs DW, Weinshall D, Gdalyahu Y. 1998. Condensing image databases when retrieval is based on non-metric distances. Computer Vision, 1998. Sixth International Conference on. :596-601.

Basri R, Roth D, Jacobs DW. 1998. Clustering appearances of 3D objects. Computer Vision and Pattern Recognition, 1998. Proceedings. 1998 IEEE Computer Society Conference on. :414-420.

Jacobs DW, Belhumeur PN, Basri R. 1998. Comparing images under variable illumination. Computer Vision and Pattern Recognition, 1998. Proceedings. 1998 IEEE Computer Society Conference on. :610-617.

Basri R, Costa L, Geiger D, Jacobs DW. 1998. Determining the similarity of deformable shapes. Vision Research. 38(15–16):2365-2385.

Basri R, GROVE ADAMJ, Jacobs DW. 1998. EFFICIENT DETERMINATION OF SHAPE FROM MULTIPLE IMAGES CONTAINING PARTIAL INFORMATION. Pattern Recognition. 31(11):1691-1703.

Alter TD, Jacobs DW. 1998. Uncertainty propagation in model-based recognition. International Journal of Computer Vision. 27(2):127-159.

1997

Jacobs DW. 1997. Linear fitting with missing data: applications to structure-from-motion and to characterizing intensity images. Computer Vision and Pattern Recognition, 1997. Proceedings., 1997 IEEE Computer Society Conference on. :206-212.

Basri R, Jacobs DW. 1997. Recognition using region correspondences. International Journal of Computer Vision. 25(2):145-166.

Jacobs DW, Basri R. 1997. 3-D to 2-D recognition with regions. Computer Vision and Pattern Recognition, 1997. Proceedings., 1997 IEEE Computer Society Conference on. :547-553.

Basri R, Jacobs DW. 1997. Constancy and similarity. Computer Vision and Image Understanding. 65(3):447-449.

Jacobs DW. 1997. Matching 3-D models to 2-D images. International Journal of Computer Vision. 21(1):123-153.

Williams LR, Jacobs DW. 1997. Stochastic completion fields: A neural model of illusory contour shape and salience. Neural Computation. 9(4):837-858.

Williams LR, Jacobs DW. 1997. Local Parallel Computation of Stochastic Completion Fields. Neural Computation. 9(4):859-881.

1996

Jacobs DW. 1996. Robust and efficient detection of salient convex groups. Pattern Analysis and Machine Intelligence, IEEE Transactions on. 18(1):23-37.

Basri R, Jacobs DW. 1996. Matching convex polygons and polyhedra, allowing for occlusion. Applied Computational Geometry Towards Geometric Engineering. :133-147.

Jacobs DW. 1996. The space requirements of indexing under perspective projections. Pattern Analysis and Machine Intelligence, IEEE Transactions on. 18(3):330-333.

GROVE AJ, Jacobs DW. 1996. Space/time trade-offs for associative memory. Pattern Recognition, 1996., Proceedings of the 13th International Conference on. 4:296-302vol.4-296-302vol.4.

1995

Williams LR, Jacobs DW. 1995. Stochastic completion fields: a neural model of illusory contour shape and salience. Computer Vision, 1995. Proceedings., Fifth International Conference on. :408-415.

1994

Alter TD, Jacobs DW. 1994. Error propagation in full 3D-from-2D object recognition. Computer Vision and Pattern Recognition, 1994. Proceedings CVPR '94., 1994 IEEE Computer Society Conference on. :892-898.

Jacobs DW. 1994. Generalizing invariants for 3-D to 2-D matching. Applications of Invariance in Computer Vision. :415-434.

Grimson WEL, Huttenlocher DP, Jacobs DW. 1994. A study of affine matching with bounded sensor error. International Journal of Computer Vision. 13(1):7-32.

Alter TD, Jacobs DW. 1994. Error propagation in 3D-from-2D recognition: Scaled-orthographic and perspective projections. Proceedings: ARPA Image Understanding Workshop, Monterey, California.

Jacobs DW, Chennubhotla C. 1994. Finding structurally consistent motion correspondences. Pattern Recognition, 1994. Vol. 1 - Conference A: Computer Vision Image Processing., Proceedings of the 12th IAPR International Conference on. 1:650-653vol.1-650-653vol.1.

Jacobs DW, Chennubhotla C. 1994. Segmenting independently moving, noisy points. Motion of Non-Rigid and Articulated Objects, 1994., Proceedings of the 1994 IEEE Workshop on. :96-103.

Jacobs DW, Alter TD. 1994. Uncertainty Propagation in Model-Based Recognition..

1993

Jacobs DW. 1993. Recognizing 3-D objects using 2-D images.

Jacobs DW. 1993. 2D images of 3-D oriented points. Computer Vision and Pattern Recognition, 1993. Proceedings CVPR '93., 1993 IEEE Computer Society Conference on. :226-232.

1992

Jacobs DW. 1992. Space efficient 3-D model indexing. Computer Vision and Pattern Recognition, 1992. Proceedings CVPR '92., 1992 IEEE Computer Society Conference on. :439-444.

Grimson W, Huttenlocher D, Jacobs DW. 1992. A study of affine matching with bounded sensor error. Computer Vision—ECCV'92. :291-306.

1991

Clemens DT, Jacobs DW. 1991. Space and time bounds on indexing 3D models from 2D images. Pattern Analysis and Machine Intelligence, IEEE Transactions on. 13(10):1007-1017.

Clemens DT, Jacobs DW. 1991. Model group indexing for recognition. Computer Vision and Pattern Recognition, 1991. Proceedings CVPR '91., IEEE Computer Society Conference on. :4-9.

Jacobs DW. 1991. Optimal matching of planar models in 3D scenes. Computer Vision and Pattern Recognition, 1991. Proceedings CVPR '91., IEEE Computer Society Conference on. :269-274.

1989

Jacobs DW. 1989. Grouping for recognition. AI Memos (1959 - 2004).

1987

Jacobs DW. 1987. GROPER: A Grouping Based Object Recognition System for Two-Dimensional Objects. IEEE Workshop on Computer Vision. :164-169.