David Jacobs
Professor
4240 Iribe Center
(301) 405-6802
(301) 314-911
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
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. 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.
2011. Active inference for retrieval in camera networks. Person-Oriented Vision (POV), 2011 IEEE Workshop on. :13-20.
2010
2010. Face Verification Across Age Progression Using Discriminative Methods. Information Forensics and Security, IEEE Transactions on. 5(1):82-91.
2010. Comparing and combining lighting insensitive approaches for face recognition. Computer Vision and Image Understanding. 114(1):135-145.
2009
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.
2009. Shape Matching for Foliage Database Retrieval. Semantic Mining Technologies for Multimedia DatabasesSemantic Mining Technologies for Multimedia Databases. :100-100.
2008
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.
2008. Using specularities in comparing 3D models and 2D images. Computer Vision and Image Understanding. 111(3):275-294.
2007
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)
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.
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. 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
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.
2004
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.
2004. Generalized photometric stereo and its application to face recognition. International Journal of Computer Vision.
2003
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.
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.
2001
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.
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.
2000
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.
2000. What makes viewpoint invariant properties perceptually salient?: A computational perspective Perceptual organization for artificial vision systems. :121-138.
2000. Breakout Session Report: Principles and Methods. Perceptual Organization for Artificial Vision Systems. :17-28.