Interest point detection

Results: 24



#Item
1Point Feature Extraction on 3D Range Scans Taking into Account Object Boundaries Bastian Steder Radu Bogdan Rusu

Point Feature Extraction on 3D Range Scans Taking into Account Object Boundaries Bastian Steder Radu Bogdan Rusu

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Source URL: europa.informatik.uni-freiburg.de

Language: English - Date: 2011-05-22 16:16:32
23D Interest Point Detection via Discriminative Learning Leizer Teran1 and Philippos Mordohai2 1  2

3D Interest Point Detection via Discriminative Learning Leizer Teran1 and Philippos Mordohai2 1 2

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Source URL: www.cs.stevens.edu

Language: English - Date: 2014-07-08 20:27:33
3Diagnosing Error in Object Detectors Derek Hoiem, Yodsawalai Chodpathumwan, and Qieyun Dai ? Department of Computer Science University of Illinois at Urbana-Champaign Abstract. This paper shows how to analyze the influen

Diagnosing Error in Object Detectors Derek Hoiem, Yodsawalai Chodpathumwan, and Qieyun Dai ? Department of Computer Science University of Illinois at Urbana-Champaign Abstract. This paper shows how to analyze the influen

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Source URL: web.engr.illinois.edu

Language: English - Date: 2012-07-31 17:26:00
4Mining the Co-existence of POIs in OpenStreetMap for Faulty Entry Detection Alireza Kashian1, Kai-Florian Richter2, Abbas Rajabifard1, Yiqun Chen1 1  Department of Infrastructure Engineering, University of Melbourne, VIC

Mining the Co-existence of POIs in OpenStreetMap for Faulty Entry Detection Alireza Kashian1, Kai-Florian Richter2, Abbas Rajabifard1, Yiqun Chen1 1 Department of Infrastructure Engineering, University of Melbourne, VIC

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Source URL: ceur-ws.org

Language: English - Date: 2016-03-05 11:00:46
5BRISK: 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

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
6THE DETECTION OF JUNCTION FEATURES IN IMAGES Robert Lagani`ere and Rimon Elias VIVA Research Lab School of Information Technology and Engineering University of Ottawa Ottawa, Ontario, Canada, K1N 6N5

THE DETECTION OF JUNCTION FEATURES IN IMAGES Robert Lagani`ere and Rimon Elias VIVA Research Lab School of Information Technology and Engineering University of Ottawa Ottawa, Ontario, Canada, K1N 6N5

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Source URL: www.site.uottawa.ca

Language: English - Date: 2004-01-16 12:25:00
7Wedge-based Corner Model for Widely Separated Views Matching ´ Robert Lagani`ere and Etienne Vincent School of Information Technology and Engineering University of Ottawa, Ottawa, Canada, K1N 6N5

Wedge-based Corner Model for Widely Separated Views Matching ´ Robert Lagani`ere and Etienne Vincent School of Information Technology and Engineering University of Ottawa, Ottawa, Canada, K1N 6N5

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Source URL: www.site.uottawa.ca

Language: English - Date: 2002-05-03 13:49:56
8Edge Foci Interest Points C. Lawrence Zitnick Microsoft Research Redmond, WA  Krishnan Ramnath

Edge Foci Interest Points C. Lawrence Zitnick Microsoft Research Redmond, WA Krishnan Ramnath

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Source URL: research.microsoft.com

Language: English - Date: 2011-08-05 18:36:58
988  IEEE TRANSACTIONS ON MULTIMEDIA, VOL. 14, NO. 1, FEBRUARY 2012 Semantic Model Vectors for Complex Video Event Recognition

88 IEEE TRANSACTIONS ON MULTIMEDIA, VOL. 14, NO. 1, FEBRUARY 2012 Semantic Model Vectors for Complex Video Event Recognition

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Source URL: users.cecs.anu.edu.au

Language: English - Date: 2012-03-15 23:35:13
10BMVC2000  Object Recognition using the Invariant Pixel–Set Signature J. Matas1;2 1 Center

BMVC2000 Object Recognition using the Invariant Pixel–Set Signature J. Matas1;2 1 Center

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Source URL: www.bmva.org

Language: English - Date: 2013-02-05 11:59:03