Feature detection

Results: 595



#Item
231Feature detection / Scale-invariant feature transform / GLOH / Speeded up robust features / Corner detection / Outline of object recognition / Interest point detection / Feature / X-ray photoelectron spectroscopy / Visual descriptor / RANSAC / JPEG

BRISK: Binary Robust Invariant Scalable Keypoints Stefan Leutenegger, Margarita Chli and Roland Y. Siegwart Autonomous Systems Lab, ETH Z¨urich {stefan.leutenegger, margarita.chli, and roland.siegwart}@mavt.ethz.ch Abs

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Source URL: www.margaritachli.com

Language: English - Date: 2011-07-30 13:32:28
232Artificial intelligence / Computer vision / Machine learning / Feature detection / Ensemble learning / Boosting / Constellation model / AdaBoost / Image segmentation / Edge detection / Outline of object recognition / Decision stump

Contour-Based Learning for Object Detection Jamie Shotton Department of Engineering University of Cambridge

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Source URL: jamie.shotton.org

Language: English - Date: 2013-04-10 20:18:03
233Feature detection / Image processing / Mathematics / Geometry / Computer vision / Hough transform / Edge detection / Analytic geometry / Ellipse / Mollweide projection / Feature / Background subtraction

ACCV2002: The 5th Asian Conference on Computer Vision, January 2002, Melbourne, Australia. Wheelchair Detection in a Calibrated Environment Ashish Myles University of Florida

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Source URL: www.ashishmyles.com

Language: English
234Artificial intelligence / Statistical classification / Support vector machine / Pedestrian detection / Ensemble learning / Feature detection

CoDeL: A Human Co-detection and Labeling Framework Jianping Shi∗ Renjie Liao∗ Jiaya Jia The Chinese University of Hong Kong {jpshi, rjliao, leojia}@cse.cuhk.edu.hk

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Source URL: www.cse.cuhk.edu.hk

Language: English - Date: 2013-10-03 11:58:13
235Feature detection / Machine learning / Ensemble learning / Statistical classification / Histogram of oriented gradients / Support vector machine / AdaBoost / Pattern recognition / Classifier / Edge detection / Pedestrian detection

High-Level Fusion of Depth and Intensity for Pedestrian Classification Marcus Rohrbach1,3 , Markus Enzweiler2 and Dariu M. Gavrila1,4 1 Environment Perception, Group Research, Daimler AG, Ulm, Germany

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Source URL: dl.dropboxusercontent.com

Language: English
236Feature detection / Speeded up robust features / Image segmentation / Stereopsis / Feature / Descriptor / Memory segmentation / Structure from motion

Efficient Multi-Cue Scene Segmentation Timo Scharw¨ achter1 Markus Enzweiler1

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Source URL: dl.dropboxusercontent.com

Language: English
237Computer vision / Artificial intelligence / Ensemble learning / Vision / Feature detection / Pedestrian detection / Surveillance / Catadioptric system / Cascade Framework / Boosting / AdaBoost / Speeded up robust features

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Source URL: dl.dropboxusercontent.com

Language: English
238Image processing / Feature detection / Machine learning / Advanced driver assistance systems / Pedestrian detection / Surveillance / Conference on Computer Vision and Pattern Recognition / Computer vision / K-nearest neighbors algorithm / Pattern recognition / Edge detection / Stereophonic sound

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Source URL: dl.dropboxusercontent.com

Language: English
239Artificial intelligence / Computer vision / Vision / Dynamic programming / Pattern matching / Feature detection / Robot control / Iterative closest point / Shape context / Conference on Computer Vision and Pattern Recognition / Speeded up robust features / Approximate string matching

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Source URL: www.tnt.uni-hannover.de

Language: English - Date: 2011-07-12 09:56:56
240Statistics / Vision / Segmentation / Edge detection / Feature / Thresholding / Pattern recognition / Histogram / Image processing / Computer vision / Imaging

Man-Made Structure Detection in Natural Images using a Causal Multiscale Random Field Sanjiv Kumar and Martial Hebert The Robotics Institute, Carnegie Mellon University Pittsburgh, PA 15213, USA, {skumar, hebert}@ri.cmu.

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Source URL: www.sanjivk.com

Language: English - Date: 2010-06-01 18:50:22
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