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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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2019-Jun-20
Clarivate Analytics published the InCites Journal Citations Report for 2018. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.650, and the JCR 5-Year Impact Factor is 0.639.

2018-May-31
Starting today, the minimum number a pages for a paper is 8, so all submitted papers should have 8, 10 or 12 pages. No exceptions will be accepted.

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  4/2011 - 3

Robust Stereo-Vision Based 3D Object Reconstruction for the Assistive Robot FRIEND

RISTIC-DURRANT, D. See more information about RISTIC-DURRANT, D. on SCOPUS See more information about RISTIC-DURRANT, D. on IEEExplore See more information about RISTIC-DURRANT, D. on Web of Science, GRIGORESCU, S. M. See more information about  GRIGORESCU, S. M. on SCOPUS See more information about  GRIGORESCU, S. M. on SCOPUS See more information about GRIGORESCU, S. M. on Web of Science, GRASER, A. See more information about  GRASER, A. on SCOPUS See more information about  GRASER, A. on SCOPUS See more information about GRASER, A. on Web of Science, COJBASIC, Z. See more information about  COJBASIC, Z. on SCOPUS See more information about  COJBASIC, Z. on SCOPUS See more information about COJBASIC, Z. on Web of Science, NIKOLIC, V. See more information about NIKOLIC, V. on SCOPUS See more information about NIKOLIC, V. on SCOPUS See more information about NIKOLIC, V. on Web of Science
 
Click to see author's profile in See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (574 KB) | Citation | Downloads: 1,101 | Views: 3,532

Author keywords
robust robot vision, feedback control in image processing, feature-based object recognition, neuro-fuzzy classification, assistive robot

References keywords
vision(8), systems(8), object(7), robots(6), robotics(6), graeser(6), system(5), robot(5), autonomous(5), robotic(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2011-11-30
Volume 11, Issue 4, Year 2011, On page(s): 15 - 22
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2011.04003
Web of Science Accession Number: 000297764500003
SCOPUS ID: 84856594148

Abstract
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Full text preview
A key requirement of assistive robot vision is the robust 3D object reconstruction in complex environments for reliable autonomous object manipulation. In this paper the idea is presented of achieving high robustness of a complete robot vision system against external influences such as variable illumination by including feedback control of the object segmentation in stereo images. The approach used is to change the segmentation parameters in closed-loop so that object features extraction is driven to a desired result. Reliable feature extraction is necessary to fully exploit a neuro-fuzzy classifier which is the core of the proposed 2D object recognition method, predecessor of 3D object reconstruction. Experimental results on the rehabilitation assistive robotic system FRIEND demonstrate the effectiveness of the proposed method.


References | Cited By  «-- Click to see who has cited this paper

[1] D. Kim, R. Lovelett, A. Behal, "An empirical study with simulated adl tasks using vision-guided assistive robot arm", in Proc. of the IEEE 11th Int. Conf. on Rehabilitation Robotics ICORR, Japan, 2009.
[CrossRef] [SCOPUS Times Cited 16]


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[CrossRef] [Web of Science Times Cited 16] [SCOPUS Times Cited 18]


[3] S. Hussmann and T. Liepert, "Robot Vision System based on a 3D-TOF Camera", Instrumentation and Measurement Technology Conference-IMTC 2007, Warsaw, Poland, 2007.
[CrossRef]


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[CrossRef] [Web of Science Times Cited 4] [SCOPUS Times Cited 11]


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[CrossRef] [SCOPUS Times Cited 1]


[6] T. Asfour, P. Azad, N. Vahrenkamp, K. Regenstein, A. Bierbaum, K. Welke, J. Schroder, R. Dillmann, Toward humanoid manipulation in human-centered environments, Robotics and Autonomous Systems, vol. 56, no. 1, pp. 54-65, 2008.
[CrossRef] [Web of Science Times Cited 70] [SCOPUS Times Cited 91]


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[CrossRef] [Web of Science Times Cited 23675] [SCOPUS Times Cited 33430]


[8] D. Kragic, Bjoerman, H. Christensen, J.-O. Eklundh, "Vision for robotic object manipulation in domestic settings", Robotics and Autonomous Systems, vol. 52, pp. 85-100, 2005.
[CrossRef] [Web of Science Times Cited 49] [SCOPUS Times Cited 64]


[9] M. Sridharan, P. Stone, "Structure-based color learning on a mobile robot under changing illumination", Autonomous Robots Journal, vol. 23, pp. 161-182, 2007.
[CrossRef] [Web of Science Times Cited 7] [SCOPUS Times Cited 11]


[10] O. Ivlev, C. Martens, A. Graeser, "Rehabilitation robots FRIEND-I and FRIEND-II with the dexterous lightweight manipulator", Restoration of Wheeled Mobility in SCI Rehabilitation, vol. 17, pp. 111-123, 2005.

[11] O. Prenzel, C. Martens, M. Cyriacks, C. Wang, A. Graeser, "System controlled user interaction within the service robotic control architecture MASSiVE", Robotica, Special Issue, vol. 25, no. 2, 2007.
[CrossRef] [Web of Science Times Cited 7] [SCOPUS Times Cited 13]


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[CrossRef] [Web of Science Times Cited 7] [SCOPUS Times Cited 11]


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[17] E. Dogantekin, M. Yilmaz, A. Dogantekin, E. Avci, A. Sengur, "A robust technique based on invariant moments - ANFIS for recognition of human parasite eggs in microscopic images", Expert Systems with Applications, vol. 35, no. 3, pp. 728-738, 2008.
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[CrossRef]


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[CrossRef] [SCOPUS Record]


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[CrossRef] [Web of Science Times Cited 3] [SCOPUS Times Cited 10]


[22] S. M. Grigorescu, D. Ristic-Durrant, A. Graeser, "ROVIS: Robust machine Vision for Service robotic system FRIEND", in Proc. of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, St. Louis, USA, October, 2009.
[CrossRef] [Web of Science Times Cited 4] [SCOPUS Times Cited 16]


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[CrossRef]


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[CrossRef] [Full Text] [Web of Science Times Cited 8] [SCOPUS Times Cited 12]


References Weight

Web of Science® Citations for all references: 23,875 TCR
SCOPUS® Citations for all references: 33,749 TCR

Web of Science® Average Citations per reference: 995 ACR
SCOPUS® Average Citations per reference: 1,406 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2019-08-20 17:22 in 137 seconds.




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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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