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Object recognition
Results: 1078

#	Item
461	Real-Time Object Tracking for Augmented Reality Combining Graph Cuts and Optical Flow Jonathan Mooser∗ Suya You† Add to Reading List Source URL: graphics.usc.edu Language: English - Date: 2008-01-27 20:52:36 Imaging Optics Segmentation Graph cuts in computer vision Optical flow Active contour model Video tracking Object recognition Edge detection Computer vision Image processing Vision
462	Object Recognition by Combining Appearance and Geometry David Crandall1 , Pedro Felzenszwalb2 , and Daniel Huttenlocher1 1 Cornell University Add to Reading List Source URL: vision.soic.indiana.edu Language: English - Date: 2014-08-03 00:38:07 Object recognition Markov random field Applied mathematics Computer vision Probability Artificial intelligence
463	Image-Based Objects Manuel M. Oliveira and Gary Bishop* University of North Carolina at Chapel Hill Abstract We present a compact, image-based representation for threedimensional objects with complex shapes that can be r Add to Reading List Source URL: www.cs.unc.edu Language: English - Date: 1999-02-26 16:24:17 Optics Light field Rendering Binary space partitioning Object recognition Spatial anti-aliasing Ray tracing 3D scanner Shading 3D computer graphics Computer graphics Imaging
464	Composite Models of Objects and Scenes for Category Recognition David J. Crandall Daniel P. Huttenlocher Department of Computer Science, Cornell University Ithaca, NY 14853 {crandall,dph}@cs.cornell.edu Add to Reading List Source URL: vision.soic.indiana.edu Language: English - Date: 2014-08-03 00:38:05 Artificial intelligence Constellation model Object recognition 3D modeling One-shot learning Bag of words model in computer vision Computer vision Vision Optics
465	A Category-Level 3-D Object Dataset: Putting the Kinect to Work Allison Janoch, Sergey Karayev, Yangqing Jia, Jonathan T. Barron, Mario Fritz, Kate Saenko, Trevor Darrell UC Berkeley and Max-Plank-Institute for Informati Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2012-07-28 19:03:14 Imaging Histogram of oriented gradients Kinect Object recognition Caltech 101 Computer vision Artificial intelligence Vision
466	Weakly Supervised Learning of Part-Based Spatial Models for Visual Object Recognition David J. Crandall and Daniel P. Huttenlocher Cornell University, Ithaca, NY 14850, USA, {crandall,dph}@cs.cornell.edu Add to Reading List Source URL: vision.soic.indiana.edu Language: English - Date: 2014-08-03 00:38:09 Machine learning Artificial intelligence Maximum likelihood Expectation–maximization algorithm Object recognition Supervised learning Markov random field Constellation model One-shot learning Statistics Estimation theory Statistical theory
467	Weakly Supervised Learning of Part-Based Spatial Models for Visual Object Recognition David J. Crandall and Daniel P. Huttenlocher Cornell University, Ithaca, NY 14850, USA, {crandall,dph}@cs.cornell.edu Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2006-02-18 10:40:24 Machine learning Artificial intelligence Maximum likelihood Expectation–maximization algorithm Object recognition Supervised learning Markov random field Constellation model One-shot learning Statistics Estimation theory Statistical theory
468	Microsoft PowerPoint - huttenlocher_icvss09.ppt [Compatibility Mode] Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2009-07-08 02:33:36 Image processing Optics Segmentation Object recognition Clique Computer vision Vision Imaging
469	Change Detection in Laser-Scanned Data of Industrial Sites Jing Huang University of Southern California Suya You University of Southern California Add to Reading List Source URL: graphics.usc.edu Language: English - Date: 2015-01-22 18:40:52 Imaging Optics Segmentation Pose Object recognition 3D scanner Computer vision Image processing Vision
470	Microsoft Word - Augmentedl Exhibitions Using Natural Features_JM.doc Add to Reading List Source URL: graphics.usc.edu Language: English - Date: 2007-10-31 12:46:16 Imaging Object recognition Augmented reality Pose Kernel Motion estimation Affine transformation 3D single object recognition Scale-invariant feature transform Computer vision Vision Geometry

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