Joint 2D and 3D cues for image segmentation towards robotic applications
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Hu He Thesis
(PDF 5MB)
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Description
This thesis investigates the fusion of 3D visual information with 2D image cues to provide 3D semantic maps of large-scale environments in which a robot traverses for robotic applications. A major theme of this thesis was to exploit the availability of 3D information acquired from robot sensors to improve upon 2D object classification alone. The proposed methods have been evaluated on several indoor and outdoor datasets collected from mobile robotic platforms including a quadcopter and ground vehicle covering several kilometres of urban roads.
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| ID Code: | 71760 |
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| Item Type: | QUT Thesis (PhD) |
| Supervisor: | Upcroft, Ben & Corke, Peter |
| Keywords: | Image Segmentation, Computer Vision, Robotics, Structure from Motion, Markov Random Fields, Graph Cut, Energy Minimisation |
| Divisions: | Past > QUT Faculties & Divisions > Faculty of Science and Technology Past > QUT Faculties & Divisions > Science & Engineering Faculty Past > Schools > School of Electrical Engineering & Computer Science |
| Institution: | Queensland University of Technology |
| Deposited On: | 02 Jun 2014 01:42 |
| Last Modified: | 04 Sep 2017 14:41 |
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