David Jacobs

David W. Jacobs is a professor in the Department of Computer Science.
His research has focused on human and computer vision, especially in the areas of object recognition and perceptual organization.
Jacobs has also published articles in the areas of motion understanding, memory and learning, computer graphics, human computer interaction, and computational geometry. He has served as an associate editor of IEEE Transactions on Pattern Analysis and Machine Intelligence, and has assisted in the organization of many workshops and conferences, including serving as program co-chair for CVPR 2010. Jacobs and his co-authors received honorable mention for the best paper award at CVPR 2000. He also co-authored a paper that received the best student paper award at UIST 2003.
In collaboration with researchers at Columbia University and the Smithsonian Institution he created Leafsnap, an app that uses computer vision for plant species identification, for which he and his collaborators were awarded the 2011 Edward O. Wilson Biodiversity Technology Pioneer Award.
Jacobs received a B.A. degree from Yale University in 1982. From 1982 to 1985 he worked for Control Data Corporation on the development of data base management systems, and attended graduate school in computer science at New York University. From 1985 to 1992 he attended MIT, where he received M.S. and doctorate degrees in computer science.
From 1992 to 2002, Jacobs was a research scientist and then a senior research scientist at the NEC Research Institute. In 1998 he spent a sabbatical at the Royal Institute of Technology (KTH) in Stockholm, and in 2008 spent a sabbatical at the Ecole normale supérieure de Cachan. Jacobs joined the Department of Computer Science at the University of Maryland in 2002.
Go here to view Jacobs's academic publications on Google Scholar.
Publications
2012
2012. Dynamic changes in motivation in collaborative citizen-science projects. Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work. :217-226.
2011
2011. Active inference for retrieval in camera networks. Person-Oriented Vision (POV), 2011 IEEE Workshop on. :13-20.
2011. Localizing parts of faces using a consensus of exemplars. Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on. :545-552.
2011. Wide-baseline stereo for face recognition with large pose variation. Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on. :537-544.
2011. A deformation and lighting insensitive metric for face recognition based on dense correspondences. Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on. :2353-2360.
2011. Illumination modeling for face recognition. Handbook of face recognition. :169-195.
2011. Bypassing synthesis: PLS for face recognition with pose, low-resolution and sketch. Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on. :593-600.
2011. Trainable 3D recognition using stereo matching. Computer Vision Workshops (ICCV Workshops), 2011 IEEE International Conference on. :625-631.
2011. Dynamic Processing Allocation in Video. Pattern Analysis and Machine Intelligence, IEEE Transactions on. 33(11):2174-2187.
2011. Active inference for retrieval in camera networks. Person-Oriented Vision (POV), 2011 IEEE Workshop on. :13-20.
2011. Illumination Recovery From Image With Cast Shadows Via Sparse Representation. Image Processing, IEEE Transactions on. 20(8):2366-2377.
2011. Odd Leaf Out: Improving Visual Recognition with Games. Privacy, security, risk and trust (passat), 2011 ieee third international conference on and 2011 ieee third international conference on social computing (socialcom). :87-94.
2010
2010. Comparing and combining lighting insensitive approaches for face recognition. Computer Vision and Image Understanding. 114(1):135-145.
2010. Face Verification Across Age Progression Using Discriminative Methods. Information Forensics and Security, IEEE Transactions on. 5(1):82-91.
2009
2009. Shape Matching for Foliage Database Retrieval. Semantic Mining Technologies for Multimedia DatabasesSemantic Mining Technologies for Multimedia Databases. :100-100.
2009. Sparse representation of cast shadows via ℓ1-regularized least squares. Computer Vision, 2009 IEEE 12th International Conference on. :583-590.
2009. Assigning cameras to subjects in video surveillance systems. Robotics and Automation, 2009. ICRA '09. IEEE International Conference on. :837-843.
2009. Visibility constraints on features of 3D objects. Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on. :1231-1238.
2009. Using Stereo Matching with General Epipolar Geometry for 2D Face Recognition across Pose. Pattern Analysis and Machine Intelligence, IEEE Transactions on. 31(12):2298-2304.
2008
2008. Using specularities in comparing 3D models and 2D images. Computer Vision and Image Understanding. 111(3):275-294.
2008. Approximate earth mover's distance in linear time. Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on. :1-8.
2008. Tracking Down Under: Following the Satin Bowerbird. Applications of Computer Vision, 2008. WACV 2008. IEEE Workshop on. :1-7.
2008. Searching the world’s herbaria: A system for visual identification of plant species. Computer Vision–ECCV 2008. :116-129.
2007
2007. Shape Classification Using the Inner-Distance. Pattern Analysis and Machine Intelligence, IEEE Transactions on. 29(2):286-299.
2007. Surface Dependent Representations for Illumination Insensitive Image Comparison. Pattern Analysis and Machine Intelligence, IEEE Transactions on. 29(1):98-111.
2007. Using Stereo Matching for 2-D Face Recognition Across Pose. Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on. :1-8.
2007. A Study of Face Recognition as People Age. Computer Vision, 2007. ICCV 2007. IEEE 11th International Conference on. :1-8.
2007. Appearance Characterization of Linear Lambertian Objects, Generalized Photometric Stereo, and Illumination-Invariant Face Recognition. Pattern Analysis and Machine Intelligence, IEEE Transactions on. 29(2):230-245.
2007. Face and Gesture Recognition-Appearance Characterization of Linear Lambertian Objects, Generalized Photometric Stereo, and Illumination-Invariant Face Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 29(2):230-245.
2007. Efficiently Determining Silhouette Consistency. Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on. :1-8.
2007. Multi-scale video cropping. Proceedings of the 15th international conference on Multimedia. :97-106.
2007. Photometric stereo with general, unknown lighting. International Journal of Computer Vision. 72(3):239-257.
2007. Object recognition using linear subspaces. EP20010117763(EP1204069)
2006
2006. Development of a Large-Scale Integrated Neurocognitive Architecture Part 1: Conceptual Framework. UMIACS-TR-2006-33
2006. Cast shadows and linear subspaces for object recognition. 10/085,750(7006684)
2006. First Steps Toward an Electronic Field Guide for Plants. Taxon. 55:597-610.
2005
2005. Deformation invariant image matching. Computer Vision, 2005. ICCV 2005. Tenth IEEE International Conference on. 2:1466-1473Vol.2-1466-1473Vol.2.
2005. Torrance-sparrow off-specular reflection and linear subspaces for object recognition. 10/230,888(6900805)
2005. On the equivalence of common approaches to lighting insensitive recognition. Computer Vision, 2005. ICCV 2005. Tenth IEEE International Conference on. 2:1721-1726Vol.2-1721-1726Vol.2.
2005. Using the inner-distance for classification of articulated shapes. Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on. 2:719-726vol.2-719-726vol.2.
2005. Non-negative lighting and specular object recognition. Computer Vision, 2005. ICCV 2005. Tenth IEEE International Conference on. 2:1323-1330Vol.2-1323-1330Vol.2.
2005. Lambertian reflectance and linear subspaces. : 09/705,507(6853745)
2005. Mesh saliency. ACM transactions on graphics. 24(3):659-666.
2005. Non-negative lighting and specular object recognition. Proc. of IEEE International Conference on Computer Vision. 2
2004
2004. Generalized photometric stereo and its application to face recognition. International Journal of Computer Vision.
2004. Illumination, Reflectance, and Reflection-Characterization of Human Faces under Illumination Variations Using Rank, Integrability, and Symmetry Constraints. Lecture Notes in Computer Science. 3021:588-601.
2004. Whitening for photometric comparison of smooth surfaces under varying illumination. Computer Vision-ECCV 2004. :217-228.
2004. Characterization of human faces under illumination variations using rank, integrability, and symmetry constraints. Computer Vision-ECCV 2004. :588-601.
2003
2003. Automatic thumbnail cropping and its effectiveness. Proceedings of the 16th annual ACM symposium on User interface software and technology. :95-104.
2003. Using specularities for recognition. Computer Vision, 2003. Proceedings. Ninth IEEE International Conference on. :1512-1519vol.2-1512-1519vol.2.
2003. What makes viewpoint-invariant properties perceptually salient? Journal of the Optical Society of America A. 20(7):1304-1320.
2003. Automatic thumbnail cropping and its effectiveness. Proceedings of the 16th annual ACM symposium on User interface software and technology. :95-104.
2003. BAYESIAN AND STATISTICAL APPROACHES TO VISION-Natural Image Statistics and Perceptual Inference-What makes viewpoint-invariant properties perceptually salient? Journal of the Optical Society of America-A-Optics Image Science and Vision. 20(7):1304-1320.
2003. Perceptual Completion and Memory. Perceptual organization in vision: behavioral and neural perspectivesPerceptual organization in vision: behavioral and neural perspectives. :403-403.
2003. A search engine for 3D models. ACM Trans. Graph.. 22(1):83-105.
2003. Lambertian reflectance and linear subspaces. Pattern Analysis and Machine Intelligence, IEEE Transactions on. 25(2):218-233.
2001
2001. Lambertian reflectance and linear subspaces. Computer Vision, 2001. ICCV 2001. Proceedings. Eighth IEEE International Conference on. 2:383-390vol.2-383-390vol.2.
2001. Linear Fitting with Missing Data for Structure-from-Motion. Computer Vision and Image Understanding. 82(1):57-81.
2001. Perceptual organization as generic object recognition. From Fragments to Objects Segmentation and Grouping in VisionFrom Fragments to Objects Segmentation and Grouping in Vision. Volume 130:295-329.
2001. Judging whether multiple silhouettes can come from the same object. Visual Form 2001. :532-541.
2001. Fragment completion in humans and machines. NIPS. :27-34.
2001. Projective alignment with regions. Pattern Analysis and Machine Intelligence, IEEE Transactions on. 23(5):519-527.
2000
2000. Classification with nonmetric distances: image retrieval and class representation. Pattern Analysis and Machine Intelligence, IEEE Transactions on. 22(6):583-600.
2000. In search of illumination invariants. Computer Vision and Pattern Recognition, 2000. Proceedings. IEEE Conference on. 1:254-261vol.1-254-261vol.1.
2000. Convexity in Perceptual Completion. KLUWER INTERNATIONAL SERIES IN ENGINEERING AND COMPUTER SCIENCE. :73-90.
2000. Class representation and image retrieval with non-metric distances. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 22(583-600):1-1.