Range segmentation

Results: 48



#Item
11Robust Extraction of Text in Video S. Antani D. Crandall Department of Computer Science and Engineering The Pennsylvania State University, University Park, PA 16802

Robust Extraction of Text in Video S. Antani D. Crandall Department of Computer Science and Engineering The Pennsylvania State University, University Park, PA 16802

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Source URL: vision.soic.indiana.edu

Language: English - Date: 2014-08-03 00:38:08
122518  IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 40, NO. 11, NOVEMBER 2002 Existential Uncertainty of Spatial Objects Segmented From Satellite Sensor Imagery

2518 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 40, NO. 11, NOVEMBER 2002 Existential Uncertainty of Spatial Objects Segmented From Satellite Sensor Imagery

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Source URL: www.lucieer.net

Language: English - Date: 2014-11-24 00:14:59
13of luminance values and we also manipulated geometric and luminance range of the monitors; the luminance setting in these luminance relationships known to play a role in the segmentation regions is simply the maximal ava

of luminance values and we also manipulated geometric and luminance range of the monitors; the luminance setting in these luminance relationships known to play a role in the segmentation regions is simply the maximal ava

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Source URL: www.itr.unisa.edu.au

Language: English - Date: 2014-08-04 22:58:56
14International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXVIII, Part 5 Commission V Symposium, Newcastle upon Tyne, UK[removed]AUTOMATED EXTRACTION OF BREAK LINES IN TLS DATA OF REA

International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXVIII, Part 5 Commission V Symposium, Newcastle upon Tyne, UK[removed]AUTOMATED EXTRACTION OF BREAK LINES IN TLS DATA OF REA

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Source URL: www.hometrica.ch

Language: English - Date: 2010-07-09 02:30:34
15Comprehensive Cutting-Edge Translatable  Quan%ta%ve	
  Immunohistochemistry	
   Biospective  offers  a  broad  range  of  standardized  and  customized  histological  &  IHC  stains.	
 β-­‐‑Amyloid

Comprehensive Cutting-Edge Translatable Quan%ta%ve  Immunohistochemistry   Biospective  offers  a  broad  range  of  standardized  and  customized  histological  &  IHC  stains. β-­‐‑Amyloid

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Source URL: www.biospective.com

Language: English - Date: 2014-01-20 14:29:36
16Semantic Segmentation using Regions and Parts Pablo Arbel´aez1 , Bharath Hariharan1 , Chunhui Gu1,2 , Saurabh Gupta1 , Lubomir Bourdev1,3,† and Jitendra Malik1 1 University of California, Berkeley - Berkeley, CA 94720

Semantic Segmentation using Regions and Parts Pablo Arbel´aez1 , Bharath Hariharan1 , Chunhui Gu1,2 , Saurabh Gupta1 , Lubomir Bourdev1,3,† and Jitendra Malik1 1 University of California, Berkeley - Berkeley, CA 94720

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Source URL: www.cs.berkeley.edu

Language: English - Date: 2012-04-06 12:41:08
17Semantic Segmentation using Regions and Parts Pablo Arbel´aez1 , Bharath Hariharan1 , Chunhui Gu1,2 , Saurabh Gupta1 , Lubomir Bourdev1,3,† and Jitendra Malik1 1 University of California, Berkeley - Berkeley, CA 94720

Semantic Segmentation using Regions and Parts Pablo Arbel´aez1 , Bharath Hariharan1 , Chunhui Gu1,2 , Saurabh Gupta1 , Lubomir Bourdev1,3,† and Jitendra Malik1 1 University of California, Berkeley - Berkeley, CA 94720

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Source URL: www.cs.berkeley.edu

Language: English - Date: 2012-04-06 12:41:08
18Practical 3-D Object Detection Using Category and Instance-level Appearance Models Kate Saenko, Sergey Karayev, Yangqing Jia, Alex Shyr, Allison Janoch, Jonathan Long, Mario Fritz, Trevor Darrell Abstract— Effective ro

Practical 3-D Object Detection Using Category and Instance-level Appearance Models Kate Saenko, Sergey Karayev, Yangqing Jia, Alex Shyr, Allison Janoch, Jonathan Long, Mario Fritz, Trevor Darrell Abstract— Effective ro

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Source URL: sergeykarayev.com

Language: English - Date: 2015-01-07 04:16:21
19Object Recognition by Ranking Figure-Ground Hypotheses Joao Carreira, Fuxin Li, Cristian Sminchisescu Computer Vision and Machine Learning Group, INS, University of Bonn We focus on designing methods that can segment ima

Object Recognition by Ranking Figure-Ground Hypotheses Joao Carreira, Fuxin Li, Cristian Sminchisescu Computer Vision and Machine Learning Group, INS, University of Bonn We focus on designing methods that can segment ima

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Source URL: www.eecs.berkeley.edu

Language: English - Date: 2014-06-04 23:25:03
20Track to the Future: Spatio-temporal Video Segmentation with Long-range Motion Cues Jos´e Lezama1 Karteek Alahari2,3 1´

Track to the Future: Spatio-temporal Video Segmentation with Long-range Motion Cues Jos´e Lezama1 Karteek Alahari2,3 1´

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Source URL: www.di.ens.fr

Language: English - Date: 2011-06-21 19:27:32