An Object Detection and Pose Estimation Approach for Position Based Visual Servoing

In this paper, an object recognition method and a pose estimation approach using stereo vision is presented. The proposed approach was used for position based visual servoing of a 6 DoF manipulator. The object detection and recognition method was designed with the purpose of increasing robustness. A...

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Main Author: Shi Lei
Format: Article
Language:English
Published: Sciendo 2017-07-01
Series:Electrical, Control and Communication Engineering
Subjects:
Online Access:https://doi.org/10.1515/ecce-2017-0005
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author Shi Lei
author_facet Shi Lei
author_sort Shi Lei
collection DOAJ
description In this paper, an object recognition method and a pose estimation approach using stereo vision is presented. The proposed approach was used for position based visual servoing of a 6 DoF manipulator. The object detection and recognition method was designed with the purpose of increasing robustness. A RGB color-based object descriptor and an online correction method is proposed for object detection and recognition. Pose was estimated by using the depth information derived from stereo vision camera and an SVD based method. Transformation between the desired pose and object pose was calculated and later used for position based visual servoing. Experiments were carried out to verify the proposed approach for object recognition. The stereo camera was also tested to see whether the depth accuracy is adequate. The proposed object recognition method is invariant to scale, orientation and lighting condition which increases the level of robustness. The accuracy of stereo vision camera can reach 1 mm. The accuracy is adequate for tasks such as grasping and manipulation.
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spelling doaj.art-722f8d1c2b604feb98c21d7d097265dd2022-12-22T00:44:41ZengSciendoElectrical, Control and Communication Engineering2255-91592017-07-01121343910.1515/ecce-2017-0005ecce-2017-0005An Object Detection and Pose Estimation Approach for Position Based Visual ServoingShi Lei0MSc Student, Tallinn University of TechnologyIn this paper, an object recognition method and a pose estimation approach using stereo vision is presented. The proposed approach was used for position based visual servoing of a 6 DoF manipulator. The object detection and recognition method was designed with the purpose of increasing robustness. A RGB color-based object descriptor and an online correction method is proposed for object detection and recognition. Pose was estimated by using the depth information derived from stereo vision camera and an SVD based method. Transformation between the desired pose and object pose was calculated and later used for position based visual servoing. Experiments were carried out to verify the proposed approach for object recognition. The stereo camera was also tested to see whether the depth accuracy is adequate. The proposed object recognition method is invariant to scale, orientation and lighting condition which increases the level of robustness. The accuracy of stereo vision camera can reach 1 mm. The accuracy is adequate for tasks such as grasping and manipulation.https://doi.org/10.1515/ecce-2017-0005object recognitionpose estimationstereo visionvisual servoing
spellingShingle Shi Lei
An Object Detection and Pose Estimation Approach for Position Based Visual Servoing
Electrical, Control and Communication Engineering
object recognition
pose estimation
stereo vision
visual servoing
title An Object Detection and Pose Estimation Approach for Position Based Visual Servoing
title_full An Object Detection and Pose Estimation Approach for Position Based Visual Servoing
title_fullStr An Object Detection and Pose Estimation Approach for Position Based Visual Servoing
title_full_unstemmed An Object Detection and Pose Estimation Approach for Position Based Visual Servoing
title_short An Object Detection and Pose Estimation Approach for Position Based Visual Servoing
title_sort object detection and pose estimation approach for position based visual servoing
topic object recognition
pose estimation
stereo vision
visual servoing
url https://doi.org/10.1515/ecce-2017-0005
work_keys_str_mv AT shilei anobjectdetectionandposeestimationapproachforpositionbasedvisualservoing
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