Object recognition

Results: 1078



#Item
361Optics / Image processing / Object recognition / Template matching / Shape context / LabelMe / Segmentation / Optical flow / Scale-invariant feature transform / Computer vision / Vision / Imaging

Nonparametric Scene Parsing: Label Transfer via Dense Scene Alignment Ce Liu Jenny Yuen Antonio Torralba Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology {celiu,jenny,torralb

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Source URL: people.csail.mit.edu

Language: English - Date: 2009-04-02 17:34:24
362Imaging / Optics / Histogram of oriented gradients / Segmentation / Object recognition / Edge detection / Pedestrian detection / Feature extraction / Image gradient / Computer vision / Image processing / Vision

Sketch Tokens: A Learned Mid-level Representation for Contour and Object Detection Joseph J. Lim Massachusetts Inst. of Technology C. Lawrence Zitnick

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Source URL: people.csail.mit.edu

Language: English - Date: 2013-06-19 12:23:11
363Optics / Invariant / Object recognition / Shape / Image moment / Topography / Feature / Computer vision / Vision / Imaging

3rd AGILE Conference on Geographic Information Science – Helsinki/Espoo, Finland, May 25th – 27th, 2000 Moment Invariants as a Classification Tool for Cartographic Shapes on Large-Scale Maps. Laura Keyes and Adam W

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Source URL: itcnt05.itc.nl

Language: English - Date: 2005-02-14 17:00:00
364Vision / Optics / Object recognition / Histogram / Scale space / Pyramid / Thresholding / Feature detection / Caltech 101 / Computer vision / Image processing / Imaging

Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories Svetlana Lazebnik1 Cordelia Schmid2

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Source URL: www.cs.unc.edu

Language: English - Date: 2010-11-12 13:53:37
365Computer vision / Image processing / Segmentation / Caltech 101 / Object recognition / Machine learning / Pom / Supervised learning / Artificial intelligence / Vision / Imaging

Unsupervised Learning of Probabilistic Object Models (POMs) for Object Classification, Segmentation and Recognition Yuanhao Chen MOE-MS Key Laboratory of MCC University of Science and Technology of China

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Source URL: people.csail.mit.edu

Language: English - Date: 2008-04-07 14:52:32
366Vision / Optics / Scale-invariant feature transform / Scale space / Object recognition / Feature detection / Gaussian function / Corner detection / Scale invariance / Computer vision / Image processing / Imaging

Distinctive Image Features from Scale-Invariant Keypoints David G. Lowe Computer Science Department University of British Columbia Vancouver, B.C., Canada

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Source URL: www.lira.dist.unige.it

Language: English - Date: 2011-10-07 12:42:52
367Vision / Bundle adjustment / Nearest neighbor search / Pose / Scale-invariant feature transform / Object recognition / Computer vision / Information science / Artificial intelligence

Location Recognition using Prioritized Feature Matching Yunpeng Li Noah Snavely

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Source URL: www.cs.cornell.edu

Language: English - Date: 2012-04-26 21:11:52
368Image processing / Vision / Object recognition / Feature / Topography / Shape / Vector space / Shape analysis / Scale-invariant feature transform / Algebra / Computer vision / Mathematics

A Comparison of Methods used for Cartographic Object Classification Laura Keyes and Adam Winstanley Department of Computer Science, National University of Ireland Maynooth, Co. Kildare, Ireland. Tel: , Fax:

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Source URL: itcnt05.itc.nl

Language: English - Date: 2005-02-02 17:00:00
369Imaging / Object recognition / Pose / 3D pose estimation / Geometric hashing / Hough transform / Support vector machine / 3D modeling / 3D single object recognition / Computer vision / Artificial intelligence / Vision

MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Learning to Rank 3D Features Tuzel, O.; Liu, M-Y.; Taguchi, Y.; Raghunathan, A.U.

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Source URL: www.merl.com

Language: English - Date: 2014-12-05 11:01:01
370Vision / Artificial intelligence / Robot control / Visual effects / Object recognition / Pose / Expectation–maximization algorithm / 3D modeling / Maximum likelihood / Computer vision / Statistics / Estimation theory

Joint 3D Estimation of Objects and Scene Layout Andreas Geiger Karlsruhe Institute of Technology Christian Wojek

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Source URL: www.cvlibs.net

Language: English - Date: 2012-03-05 09:32:53
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