Biblio

Export 179 results:
2007
F. Tang, Crabb, R., and Tao, H., Representing Images Using Nonorthogonal Haar-Like Bases, IEEE Trans. Pattern Anal. Mach. Intell., vol. 29, pp. 2120–2134, 2007.
S. Bohonos, Lee, A., Malik, A., Thai, C., and Manduchi, R., Universal real-time navigational assistance (URNA): An urban bluetooth beacon for the blind, in Proceedings of the 1st ACM SIGMOBILE International Workshop on Systems and Networking Support for Healthcare and Assisted Living Environments (HealthNet '07), 2007, pp. 83–88.
2006
J. Tu, Huang, T. S., and Tao, H., Accurate Head Pose Tracking in Low Resolution Video, in FG, 2006, pp. 573-578.
J. Coughlan, Manduchi, R., and Shen, H., Cell Phone-based Wayfinding for the Visually Impaired, in 1st International Workshop on Mobile Vision, Graz, Austria, 2006.
C. B. Margi, Petkov, V., Obraczka, K., and Manduchi, R., Characterizing energy consumption in a visual sensor network testbed, in Proceedings of the 2nd International IEEE/Create-Net Conference on Testbeds and Research Infrastructures for the Development of Networks and Communities, Barcelona (spain), 2006.
J. Coughlan, Manduchi, R., and Shen, H., Computer Vision-Based Terrain Sensors for Blind Wheelchair Users, in Proceedings of the International Conference on Computers Helping People (ICCHP), 2006.
D. Kong, Han, M., Xu, W., Tao, H., and Gong, Y., A Conditional Random Field Model for Video Super-resolution, in ICPR '06: Proceedings of the 18th International Conference on Pattern Recognition, Washington, DC, USA, 2006, pp. 619–622.
C. B. Margi, Manduchi, R., and Obraczka, K., Energy Consumption Tradeoffs in Visual Sensor Networks, in 24th Brazilian Symposium on Computer Networks (SBRC 2006), 2006.
X. Lu and Manduchi, R., Fast Image Motion Computation on an Embedded Computer, in 2nd IEEE Workshop on Embedded Computer Vision, New York, 2006.
F. Tang and Tao, H., Fast Linear Discriminant Analysis Using Binary Bases, in ICPR (2), 2006, pp. 52-55.
R. Manduchi, Learning Outdoor Color Classification, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 28, pp. 1713–1723, 2006.
C. B. Margi, Lu, X., Zhang, G., Stanek, G., Manduchi, R., and Obraczka, K., Meerkats: A Power-Aware, Self-Managing Wireless Camera Network for Wide Area Monitoring, in Proceedings of the Workshop on Distributed Smart Cameras (DSC'06), Boulder (CA), 2006.
X. Lu and Manduchi, R., A New Structural Constraint and its Application in Wide Baseline Matching, in Proceedings of the 18th International Conference on Pattern Recognition (ICPR '06), Hong Kong, 2006, pp. 84–89.
J. Tu, Tao, H., and Huang, T. S., Online Updating Appearance Generative Mixture Model for Meanshift Tracking, in ACCV (1), 2006, pp. 694-703.
Q. Zhao, Kang, J., Tao, H., and Hua, W., Part Based Human Tracking In A Multiple Cues Fusion Framework, in ICPR '06: Proceedings of the 18th International Conference on Pattern Recognition, Washington, DC, USA, 2006, pp. 450–455.
X. Shi, Ribeiro-Castro, A. L., Manduchi, R., and Montgomery, R., Rotational Invariant Operators based on Steerable Filter Banks, IEEE Signal Processing Letters, vol. 13, 2006.
D. Kong and Tao, H., Stereo Matching via Learning Multiple Experts Behaviors, in BMVC06, 2006, p. I:97.
D. Kong, Han, M., Xu, W., Tao, H., and Gong, Y., Video Super-resolution with Scene-specific Priors, in BMVC06, 2006, p. II:549.
D. Kong, Gray, D., and Tao, H., A Viewpoint Invariant Approach for Crowd Counting, in ICPR '06: Proceedings of the 18th International Conference on Pattern Recognition, Washington, DC, USA, 2006, pp. 1187–1190.

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