| Investigator: Haibin Ling, PhD Center for Data Analytics and Biomedical Informatics Dept. of Computer & Information Sciences Temple University hbling AT temple.edu (tel)1-215-204-6973 | (fax)1-215-204-5082 Supported by: NSF project link  Summary: Deformability and discriminability are often two “conflicting” factors in computer vision problems such as shape matching and object recognition. For example, it has been observed that strong deformation invariant descriptors often suffer from low discriminative powers for category recognition. This project develops a new framework for balancing deformability and discriminability for computer vision tasks. The framework uniformly embeds an object, which can be a 2D shape, a point set, an image, a 3D volume or a surface, in a high dimensional space named aspect space. The embedding parameter is then used to control the degree of deformation insensitivity. Both the theoretic and application sides of the proposed framework are investigated. Based on the framework, the project aims to develop three additional research goals: robust shape matching methods by selecting deformability adaptively, robust point set registration methods by dealing with articulation in the framework, and robust image matching by extracting features in the embedded aspect space. These goals are planned to be evaluated on real applications including silhouette-based foliage data retrieval, 3D marker matching in computer-based physical therapy, and image-based disease screening. Objectives: The project aims to bridge the two main problems, handling deformation and improving discriminability, which relate to many subfields inside and outside computer vision. The interdisciplinary applications are expected to generate significant contributions to various fields including biodiversity studies, biomedical study, etc. The research results, including code and data, are made public available through the project website. |
| Publications and ProductsWavelet Domain Multi-fractal Analysis for Static and Dynamic Texture Classification H. Ji, X. Yang, H. Ling, and Y. Xu IEEE Trans. on Image Processing (T-IP), 2012Context-Driven Moving Vehicle Detection in Wide Area Motion Imagery X. Shi, H. Ling, E. Blasch, and W. Hu Int’l Conf. on Pattern Recognition (ICPR), 2012. PDFMultiple Kernel Learning for Vehicle Detection in Wide Area Motion Imagery P. Liang, G. Teodoro, H. Ling, E. Blasch, G. Chen, and L. Bai International Conference on Information Fusion (FUSION), 2012 PDFClassifying Covert Photographs H. Lang and H. Ling IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Rhode Island, 2012 PDFOnline Robust Image Alignment via Iterative Convex Optimization Y. Wu, B. Shen, and H. Ling IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Rhode Island, 2012. PDFLearning-based Automatic Breast Tumor Detection and Segmentation in Ultrasound Images P. Jiang, J. Peng, G. Zhang, E. Cheng, V. Megalooikonomou, and H. Ling Proc. of IEEE Int’l Symposium on Biomedical Imaging (ISBI), 2012 PDFReal-time Probabilistic Covariance Tracking with Efficient Model Update Y. Wu, J. Cheng, J. Wang, H. Lu, J. Wang, H. Ling, E. Blasch, and L. Bai IEEE Trans. on Image Processing (T-IP), 2012, in press PDFAnalysis of Facial Images Across Age Progression by Humans J. Zeng, H. Ling, L.J. Latecki, S. Fitzhugh, and G. Guo ISRN Machine Vision, 2012Visual Tracking based on Log-Euclidean Riemannian Sparse Representation Y. Wu, H. Ling, E. Blasch, L. Bai, and G. Chen. Int’l Symposium on Visual Computing (ISVC), 2011.Kernel-based Motion-blurred Target Tracking Y. Wu, J. Hu, F. Li, E. Cheng, J. Yu, and H. Ling. Int’l Symposium on Visual Computing (ISVC), 2011.Scale and Object Aware Image Retargeting for Thumbnail Browsing J. Sun and H. Ling IEEE International Conference on Computer Vision (ICCV), Barcelona, Spain, 2011. PDF (~5M)Blurred Target Tracking by Blur-driven Tracker Y. Wu, H. Ling, J. Yu, F. Li, X. Mei, and E. Cheng IEEE International Conference on Computer Vision (ICCV), Barcelona, Spain, 2011. PDF (~11M) | TUblur sequences and annotation (~430M) |Dynamic Texture Classification Using Dynamic Fractal Analysis Y. Xu, Y. Quan, H. Ling, and H. Ji IEEE International Conference on Computer Vision (ICCV), Barcelona, Spain, 2011. PDFPreservative License Plate De-identification for Privacy Protection L. Du and H. Ling Int’l Conf. on Document Analysis and Recognition (ICDAR), Beijing, China, 2011. PDFLearning-based vessel segmentation in mammographic images E. Cheng, Shawn McLaughlin, V. Megalooikonomou, P. R. Bakic, A. Maidment, and H. Ling IEEE Int’l Conf. on Healthcare Informatics, Imaging and Systems Biology (HISB), 2011. PDFRobust Visual Tracking and Vehicle Classification via Sparse Representation Xue Mei and Haibin Ling IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), 2011, in press PDF | Code |Multiple Source Data Fusion via Sparse Representation for Robust Visual Tracking Yi Wu, Erik Blasch, Genshe Chen, Li Bai, and Haibin Ling International Conference on Information Fusion (FUSION), 2011. PDFEvaluation of Visual Tracking in Extremely Low Frame Rate Wide Area Motion Imagery Haibin Ling, Yi Wu, Erik Blasch, Genshe Chen, Haitao Lang, and Li Bai International Conference on Information Fusion (FUSION), 2011. PDFMinimum Error Bounded Efficient L1 Tracker with Occlusion Detection Xue Mei, Haibin Ling, Yi Wu, Erik Blasch, and Li Bai IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Colorado Springs, 2011. PDF | Data (sequences and annotation, ~190M) |Illumination Recovery from Image with Cast Shadows via Sparse Representation Xue Mei, Haibin Ling, and David W. Jacobs IEEE Trans. on Image Processing (T-IP), 2011, in press PDFBalancing Deformability and Discriminability for Shape Matching Haibin Ling, Xingwei Yang, and Longin Jan Latecki In Proc. of European Conference on Computer Vision (ECCV), Crete Greece, 2010. PDFEfficient Marker Matching Using Pair-wise Constraints in Physical Therapy Gregory Johnson, Nianhua Xie, Jill Slaboda, Justin Y. Shi, Emily Keshner, and Haibin Ling. 5th Int. Symposium on Visual Computing (ISVC), 2010. PDFCategory Classification Using Occluding Contours Jin Sun, Christopher Thorpe, Nianhua Xie, Jingyi Yu, and Haibin Ling 5th Int. Symposium on Visual Computing (ISVC), 2010. PDF | DT-OC5 dataset |
DARPA project N66001-11-1-4183
Predictive Modeling of Patient State and Therapy Optimization Principal InvestigatorObradovic Zoran Abstract This project will develop and validate effective predictive modeling technology to achieve the