David W. Jacobs: Selected Publications

Newer Stuff

Jiongxin Liu, Angjoo Kanazawa, Peter Belhumeur, David Jacobs, “Dog Breed Classification Using Part Localization”, European Conference on Computer Vision (ECCV), Oct. 2012
Neeraj Kumar, Peter N. Belhumeur, Arijit Biswas, David Jacobs, W. John Kress, Ida Lopez, João V. B. Soares, "Leafsnap: A Computer Vision System for Automatic Plant Species Identification", European Conference in Computer Vision (ECCV), 2012 (Oral Presentation).
Anne Jorstad, David Jacobs, Alain Trouvé, "A Fast Illumination and Deformation Insensitive Image Comparison Algorithm Using Wavelet-Based Geodesics," European Conference on Computer Vision (ECCV), Oct. 2012.
Dana Rotman, Jenny Preece, Jen Hammock, Kezee Procita, Derek L. Hansen, Cynthia Sims Parr, Darcy Lewis, David W. Jacobs, "Dynamic changes in motivation in collaborative citizen-science projects," Computer Supported Cooperative Work (CSCW) 2012, 217-226
Arijit Biswas, David Jacobs, "Active Image Clustering: Seeking Constraints from Humans to Complement Algorithms", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012.
Abhishek Sharma, Abhishek Kumar, Hal Daume III, David W Jacobs, Generalized Multiview Analysis: A Discriminative latent space. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012
Abhishek Sharma, David Jacobs, “Bypassing Synthesis: PLS for Face Recognition with Pose, Low-Resolution and Sketch,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011.
Peter N. Belhumeur, David W. Jacobs, David J. Kriegman, Neeraj Kumar, "Localizing parts of faces using a consensus of exemplars", IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2011, 545-552
Carlos Castillo, David Jacobs, “Face Recognition with Large Pose Variation,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011.
Anne Jorstad, David Jacobs, and Alain Trouve “A Deformation and Lighting Insensitive Metric for Face Recognition Based on Dense Correspondence”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011.
Daozheng Chen, Mustafa Bilgic, Lise Getoor, and David Jacobs, “Dynamic Processing Allocation in Video,” IEEE Trans. on Pattern Analysis and Machine Intelligence, vol.33, no.11,pp.2174-2187, Nov. 2011.
Daozheng Chen, Dhruv Batra, Bill Freeman, Micah K. Johnson. "Group Norm for Learning Latent Structural SVMs," In NIPS Workshop on Optimization in Machine Learning, 2011.

Face Recognition

Haibin Ling, Stefano Soatto, Narayanan Ramanathan, and David Jacobs, “Face Verification Across Age Progression Using Discriminative Methods,” IEEE Transactions on Information Forensics and Security, 5(1):82-91, 2010.
Carlos D. Castillo, David Jacobs, “Using Stereo Matching with General Epipolar Geometry for 2-D Face Recognition Across Pose”, IEEE Trans. on Pattern Analysis and Machine Intelligence, 31(12):2298-2304, 2009.
Raghuraman Gopalan, David Jacobs, “Comparing and Combining Lighting Insensitive Approaches for Face Recognition,” Computer Vision and Image Understanding, 114:(1)135-145, 2010.
Carlos D. Castillo and David W. Jacobs,"Using Stereo Matching for 2-D Face Recognition Across Pose", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2007.

Biodiversity

Derek Hansen,David Jacobs, Darcy Lewis, Arijit Biswas, Jennifer Preece , Dana Rotman, Eric Stevens, "Odd Leaf Out: Improving visual recognition with games" Third IEEE International Conference on Social Computing (Socialcomm), 2011.
Peter N. Belhumeur, Daozheng Chen, Steven Feiner, David Jacobs, W. John Kress, Haibin Ling, Ida Lopez, Ravi Ramamoorthi, Sameer Sheorey, Sean White, and Ling Zhang, ``Searching the world’s herbaria: a system for visual identification of plant species”, European Conference on Computer Vision (ECCV), pp. 116-129 2008.
Gaurav Agarwal, Peter Belhumeur, Steven Feiner, David Jacobs , W. John Kress, Ravi Ramamoorthi, Norman A. Bourg, Nandan Dixit, Haibin Ling, Dhruv Mahajan, Rusty Russell, Sameer Shirdhonkar, Kalyan Sunkavalli, and Sean White ``First Steps Toward an Electronic Field Guide for Plants,'', Taxon, 55(3): 597-610, August, 2006.

Memory and Learning

D. Jacobs, B. Rokers, A. Rudra, and Z. Liu Completion in Humans and Machines'', NIPS, 2001.
A model of human memory, with experiments on human subjects. Considers simple word memory problems like: '*a*r*l*' (think of a word with an 'a' in it, followed by an 'r', followed by an 'l', with any number of intervening letters between these letters). data
D. Jacobs, D. Weinshall, Y. Gdalyahu, ``Class Representation and Image Retrieval with Non-Metric Distances''. IEEE Trans. on Pattern Analysis and Machine Intelligence. 22(6):583-600, 2000. Copyright (c) 2000 by IEEE.
This work considers supervised learning when images are related by distances that don't obey the triangle inequality, such as a distance that considers the centaur to be similar to the man and horse, but considers the man to be very different from the horse.

IIllumination (and Recognition)

Xue Mei, Haibin Ling, David Jacobs, “Sparse Representations of Cast Shadows via l1-Regularized Least Squares”, IEEE International Conference on Computer Vision (ICCV), 2009.
M. Osadchy, D. Jacobs, M. Lindenbaum, ``Surface Dependent Representations for Illumination Insensitive Image Comparison,'' IEEE Trans. on Pattern Analysis and Machine Intelligence, 29(1):98-111, 2007. Copyright (c) 2007 by IEEE.
R. Basri, D. Jacobs, I. Kemelmacher, ``Photometric Stereo with General, Unknown Lighting,'' Int'l J. of Computer Vision. 72(3): 239-257, 2007.
M. Osadchy, D. Jacobs, M. Lindenbaum ``On the Equivalence of Common Approaches to Lighting Insensitive Recognition'' ICCV 2005 Copyright (c) 2005 by IEEE.
Sameer Shirdhonkar and David Jacobs, “Non-Negative Lighting and Specular Object Recognition,” IEEE International Conference on Computer Vision (ICCV), Vol. II, pp. 1323-2330, 2005. (TR Version)
M. Osadchy, M. Lindenbaum, D. Jacobs, ``Whitening for Photometric Comparison of Smooth Surfaces under Varying Illumination," ECCV 2004.
R. Osadchy, D. Jacobs, R. Ramamoorthi, ``Using Specularities for Recognition'', ICCV 2003 Copyright (c) 2003 by IEEE. This paper is about recognizing shiny objects like:

R. Basri and D. Jacobs, ``Lambertian Reflectance and Linear Subspaces'', NEC Research Institute Technical Report 2000-172R, Weizmann Institute of Science Technical Report MCS00-21.
- A version also appeared in ICCV '01, and in PAMI 2003.
- We prove that the set of all reflectance functions (the mapping from surface normals to intensities) produced by Lambertian objects under distant, isotropic lighting lies close to a 9D linear subspace. This explains previous empirical results and leads to new recognition algorithms.
- PowerPoint version of my ICCV talk.

R. Basri and D. Jacobs, ``Photometric Stereo with General, Unknown Lighting," IEEE Conference on Computer Vision and Pattern Recognition 2001. Copyright (c) 2001 by IEEE
- This is a companion to the paper above, and shows how to use these results to build 3D models using 2D images.
H. Chen, P. Belhumeur and D. Jacobs "In search of Illumination Invariants", IEEE Conference on Computer Vision and Pattern Recognition, pp. 254-261, 2000. Honorable Mention, Best Paper Award. Copyright (c) 2000 by IEEE.
D. Jacobs, P. Belhumeur and R. Basri, ``Comparing Images Under Variable Illumination'', IEEE Conference on Computer Vision and Pattern Recognition, pp. 610-617, 1998. Copyright (c) 1998 by IEEE
- This work considers the problem of telling whether two images come from the same object with a change in lighting conditions, or from two different objects:

Recognition with Regions

R. Basri and D. Jacobs. p ``Projective Alignment with Regions,'' IEEE Trans. on Pattern Analysis and Machine Intelligence, 23(5):519--527, 2001.
D. Jacobs and R. Basri, ``3-D to 2-D Recognition with Regions,'' International Journal of Computer Vision, 34(2/3), pages 123-145, 1999.
R. Basri and D. Jacobs, ``Recognition Using Region Correspondences'', International Journal of Computer Vision, 25(2):141-162, 1996.
These papers describe the use of region information to determine object pose. The method allows the use of 2D or 3D regions of arbitrary convex shape, in the presence of arbitrary occlusion.
R. Basri, A. Grove, and D. Jacobs, ``Efficient Determination of Shape from Multiple Images Containing Partial Information," Pattern Recognition, 31(11):1691-1703, 1998.

Other Recognition

Ronen Basri, Pedro Felzenszwalb, Ross Girshick, David Jacobs, Caroline Klivans, ``Visibility Constraints on Features of 3D Objects,’’ IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009.
Sameer Shirdhonkar and David Jacobs, ``Approximate earth mover’s distance in linear time”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008 (TR Version).
Li Yi and David Jacobs, “Efficiently Determining Silhouette Consistency,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2007.
H. Ling, D. Jacobs ``Shape Classification Using the Inner-Distance,'' IEEE Trans on Pattern Anal. and Mach. Intell. (PAMI), 29(2):286-299, 2007. Copyright (c) 2007 by IEEE.
H. Ling, D. Jacobs ``Deformation Invariant Image Matching,'' ICCV 2005 Copyright (c) 2005 by IEEE.
R. Basri, D. Roth, D. Jacobs, ``Clustering Appearances of 3D Objects'', IEEE Conference on Computer Vision and Pattern Recognition, pp.{414--420}, 1998.
R. Basri, L. Costa, D. Geiger, and D. Jacobs, ``Determining the Similarity of Deformable Shapes," Vision Research, 38:2365-2385, 1998.
T. Alter and D. Jacobs, ``Uncertainty Propagation in Model-Based Recognition", International Journal of Computer Vision 27(2):127-159, 1998. Email me for a reprint. An earlier version appeared as: ``Error Propagation in Full 3D-from-2D Object Recognition'', IEEE Conf. on Computer Vision and Pattern Recognition. pp.892--898, 1994.
R. Basri and D. Jacobs, ``Constancy and Similarity," Computer Vision, Graphics, and Image Processing: Image Understanding, 65(3)447-449, 1997.
D. Jacobs, ``Recognizing 3-D Objects Using 2-D Images'', MIT AI Lab Technical Report 1416. This is my PhD. thesis. It is available from MIT. A paper describing the portion of my thesis dealing with indexing 3-D objects from 2-D images also appears in: "Matching 3-D Models to 2-D Images," the International Journal of Computer Vision, (21)1/2:123--153, January, 1997. Email me for a reprint.
D. Jacobs, ``The Space Requirements of Indexing Under Perspective Projection'', IEEE Trans. on Pattern Analysis and Machine Intelligence 18(3):{330--333}, March, 1996. Email me for a reprint.
E. Grimson, D. Huttenlocher, and D. Jacobs, ``Affine Matching with Bounded Sensor Error: A Study of Geometric Hashing and Alignment'', International Journal of Computer Vision. 13(1):7--32, 1994.
D. Clemens and D. Jacobs, ``Space and Time Bounds on Indexing 3D Models from 2D Images'', IEEE Trans. on Pattern Analysis and Machine Intelligence. 13(10):1007--1017, 1991. Email me for a reprint.

Structure from Motion

D. Jacobs, ``Linear Fitting with Missing Data for Structure-from-Motion'', Computer Vision and Image Understanding, 82:57-81, 2001.
D. Jacobs and C. Chennubhotla, ``Segmenting Independently Moving, Noisy Points'', IEEE Workshop on Motion of Non-Rigid and Articulate Objects. pp.96--103, 1994.
D. Jacobs and C. Chennubhotla, ``Finding Structurally Consistent Motion Correspondences'', 12th Int. Conf. on Pattern Recognition. pp.650--653, 1994.

Perceptual Organization

D. Jacobs, ``What Makes Viewpoint Invariant Properties Perceptually Salient?'', JOSA (A), 2003.
Z. Liu, D. Jacobs, R. Basri ``The role of convexity in perceptual completion -- beyond good continuation''. Vision Research 39: 4244-4257, 1999.

D. Jacobs, ``Robust and Efficient Detection of Convex Groups'', IEEE Trans. PAMI, 18(1):23-37, 1996. Copyright (c) 1996 by IEEE.
L. Williams, and D. Jacobs ``Local Parallel Computation of Stochastic Completion Fields'' , Neural Computation, 9(4):859-881, 1997.
L. Williams and D. Jacobs ``Stochastic Completion Fields: A Neural Model of Illusory Contour Shape and Salience'' , Neural Computation, 9(4):837-858, 1997.
D. Jacobs, ``GROPER: A Grouping Based Object Recognition System for Two-Dimensional Objects'', IEEE Workshop on Computer Vision. pp.164--169, 1987. Also, MIT AI Memo 1177.

Graphics and User Interfaces

Youngmin Kim, Amitabh Varshney, David Jacobs, and Francois Guimbretiere, Mesh Saliency and Human Eye Fixations, ACM Transactions on Applied Perception, (2):12:1-12:13, 2009.
C. H. Lee, A. Varshney, D. Jacobs, ``Mesh Saliency'' SIGGRAPH 2005.
B. Suh, H. Ling, B. Bederson, D. Jacobs ``Automatic Thumbnail Cropping and its Effectiveness,'' UIST 2003, received best student paper award.
T. Funkhouser, P. Min, M. Kazhdan, J. Chen, A. Halderman, D. Dobkin, D. Jacobs, ``A Search Engine for 3D Models'', ACM Transactions on Graphics, 22(1), 2003.University of Maryland
What's going on in computer vision at the University of Maryland?