Abstract
Object segmentation and classification is an important and difficult task in robotic vision. The task is complicated even further when the different objects are partially or completely occluded. Allowing a robot to take measurements from varying points of view can help in alleviating or completely removing occlusions. A robot equipped with an RGB-D sensor has the capability of searching for new and better points of view to facilitate object recognition. In this work, a motion control algorithm is designed and implemented on a mobile robot to facilitate object classification in RGB-D data of clustered objects.
| Original language | English (US) |
|---|---|
| Article number | 6907316 |
| Pages (from-to) | 3179-3184 |
| Number of pages | 6 |
| Journal | Proceedings - IEEE International Conference on Robotics and Automation |
| DOIs | |
| State | Published - Sep 22 2014 |
| Event | 2014 IEEE International Conference on Robotics and Automation, ICRA 2014 - Hong Kong, China Duration: May 31 2014 → Jun 7 2014 |
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Occlusion alleviation through motion using a mobile robot. / Fehr, Duc; Beksi, William J.; Zermas, Dimitris; Papanikolopoulos, Nikolaos P.
In: Proceedings - IEEE International Conference on Robotics and Automation, 22.09.2014, p. 3179-3184.Research output: Contribution to journal › Conference article
}
TY - JOUR
T1 - Occlusion alleviation through motion using a mobile robot
AU - Fehr, Duc
AU - Beksi, William J.
AU - Zermas, Dimitris
AU - Papanikolopoulos, Nikolaos P
PY - 2014/9/22
Y1 - 2014/9/22
N2 - Object segmentation and classification is an important and difficult task in robotic vision. The task is complicated even further when the different objects are partially or completely occluded. Allowing a robot to take measurements from varying points of view can help in alleviating or completely removing occlusions. A robot equipped with an RGB-D sensor has the capability of searching for new and better points of view to facilitate object recognition. In this work, a motion control algorithm is designed and implemented on a mobile robot to facilitate object classification in RGB-D data of clustered objects.
AB - Object segmentation and classification is an important and difficult task in robotic vision. The task is complicated even further when the different objects are partially or completely occluded. Allowing a robot to take measurements from varying points of view can help in alleviating or completely removing occlusions. A robot equipped with an RGB-D sensor has the capability of searching for new and better points of view to facilitate object recognition. In this work, a motion control algorithm is designed and implemented on a mobile robot to facilitate object classification in RGB-D data of clustered objects.
UR - http://www.scopus.com/inward/record.url?scp=84929190562&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84929190562&partnerID=8YFLogxK
U2 - 10.1109/ICRA.2014.6907316
DO - 10.1109/ICRA.2014.6907316
M3 - Conference article
SP - 3179
EP - 3184
JO - Proceedings - IEEE International Conference on Robotics and Automation
JF - Proceedings - IEEE International Conference on Robotics and Automation
SN - 1050-4729
M1 - 6907316
ER -