Christopher Jaynes

Affiliations: 
University of Kentucky, Lexington, KY 
Area:
Computer Science
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"Christopher Jaynes"

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Allen Hanson grad student 2000 U Mass Amherst
 (Automatic model acquisition and aerial image understanding.)
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Publications

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Steele RM, Jaynes C, Yang R. (2008) Reducing resolution loss in Two-Pass rendering by optimal view directions and Display-Surface partitioning Procams 2008 - Acm/Ieee 5th International Workshop On Projector Camera Systems
Gupta S, Jaynes C. (2007) The universal media book: Tracking and augmenting moving surfaces with projected information Proceedings - Ismar 2006: Fifth Ieee and Acm International Symposium On Mixed and Augmented Reality. 177-180
Crasto D, Kaie A, Jaynes C. (2007) The smart bookshelf: A study of camera projector scene augmentation of an everyday environment Proceedings - Seventh Ieee Workshop On Applications of Computer Vision, Wacv 2005. 218-225
Steele RM, Jaynes C. (2007) Center-of-mass variation under projective transformation Pattern Recognition Letters. 28: 1915-1925
Kale A, Jaynes C. (2006) A joint illumination and shape model for visual tracking Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 1: 602-609
Jaynes C, Steele RM, Webb S. (2005) Rapidly deployable multiprojector immersive displays Presence: Teleoperators and Virtual Environments. 14: 501-510
Yang Q, Steele RM, Nistér D, et al. (2005) Learning the probability of correspondences without ground truth Proceedings of the Ieee International Conference On Computer Vision. 1140-1147
Jaynes C, Webb S, Steele RM. (2004) Camera-based detection and removal of shadows from interactive multiprojector displays. Ieee Transactions On Visualization and Computer Graphics. 10: 290-301
Jaynes C. (2004) Multi-view calibration from planar motion trajectories Image and Vision Computing. 22: 535-550
Xiong Q, Jaynes C. (2004) Multi-resolution background modeling of dynamic scenes using weighted match filters Vssn'04 - Proceedings of the Acm Second International Workshop On Video Sureveillance and Sensor Networks. 88-96
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