Joint 2D and 3D cues for image segmentation towards robotic applications


Autoria(s): He, Hu
Data(s)

2014

Resumo

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.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/71760/

Publicador

Queensland University of Technology

Relação

http://eprints.qut.edu.au/71760/1/Hu_He_Thesis.pdf

He, Hu (2014) Joint 2D and 3D cues for image segmentation towards robotic applications. PhD thesis, Queensland University of Technology.

Fonte

School of Electrical Engineering & Computer Science; Science & Engineering Faculty

Palavras-Chave #Image Segmentation #Computer Vision #Robotics #Structure from Motion #Markov Random Fields #Graph Cut #Energy Minimisation
Tipo

Thesis