3D single-object recognition

Results: 79



#Item
11PR2 Looking at Things – Ensemble Learning for Unstructured Information Processing with Markov Logic Networks Daniel Nyga1 , Ferenc Balint-Benczedi2 and Michael Beetz2  Abstract— We investigate the perception and reas

PR2 Looking at Things – Ensemble Learning for Unstructured Information Processing with Markov Logic Networks Daniel Nyga1 , Ferenc Balint-Benczedi2 and Michael Beetz2 Abstract— We investigate the perception and reas

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Source URL: ai.uni-bremen.de

Language: English - Date: 2015-02-04 06:50:04
12On the Use of SIFT Features for Face Authentication

On the Use of SIFT Features for Face Authentication

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Source URL: profs.sci.univr.it

Language: English - Date: 2011-10-29 17:50:55
13Pattern Recognition Letters[removed]–2599 www.elsevier.com/locate/patrec A Hidden Markov Model approach for appearance-based 3D object recognition Manuele Bicego 1, Umberto Castellani, Vittorio Murino

Pattern Recognition Letters[removed]–2599 www.elsevier.com/locate/patrec A Hidden Markov Model approach for appearance-based 3D object recognition Manuele Bicego 1, Umberto Castellani, Vittorio Murino

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Source URL: profs.sci.univr.it

Language: English - Date: 2011-10-29 17:48:53
14Microsoft PowerPoint - VP4S06_Poster_Wei.ppt

Microsoft PowerPoint - VP4S06_Poster_Wei.ppt

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Source URL: www.computer-vision.org

Language: English - Date: 2011-04-19 21:37:17
15Unsupervised Feature Learning for 3D Scene Labeling Kevin Lai, Liefeng Bo, and Dieter Fox Abstract— This paper presents an approach for labeling objects in 3D scenes. We introduce HMP3D, a hierarchical sparse coding te

Unsupervised Feature Learning for 3D Scene Labeling Kevin Lai, Liefeng Bo, and Dieter Fox Abstract— This paper presents an approach for labeling objects in 3D scenes. We introduce HMP3D, a hierarchical sparse coding te

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Source URL: homes.cs.washington.edu

Language: English - Date: 2014-02-17 17:20:52
16Microsoft Word - Augmentedl Exhibitions Using Natural Features_JM.doc

Microsoft Word - Augmentedl Exhibitions Using Natural Features_JM.doc

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Source URL: graphics.usc.edu

Language: English - Date: 2007-10-31 12:46:16
17Training-based Object Recognition in Cluttered 3D Point Clouds Guan Pang Department of Computer Science University of Southern California Los Angeles, CA, USA [removed]

Training-based Object Recognition in Cluttered 3D Point Clouds Guan Pang Department of Computer Science University of Southern California Los Angeles, CA, USA [removed]

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Source URL: graphics.usc.edu

Language: English - Date: 2013-07-23 02:24:33
18Segmentation and Recognition using Structure from Motion Point Clouds Gabriel J. Brostow1 , Jamie Shotton2 , Julien Fauqueur3 , and Roberto Cipolla4 1  3

Segmentation and Recognition using Structure from Motion Point Clouds Gabriel J. Brostow1 , Jamie Shotton2 , Julien Fauqueur3 , and Roberto Cipolla4 1 3

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Source URL: jamie.shotton.org

Language: English - Date: 2013-04-10 20:16:31
19Transformation-invariant Indexing and Machine Discovery for Computer Vision

Transformation-invariant Indexing and Machine Discovery for Computer Vision

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Source URL: aaai.org

Language: English - Date: 2006-01-11 02:43:25
20BMVC2000  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