Building component detection by using context information and multiple cues for outdoor robot

This paper describes an approach to detect the components, specially the windows, of building for understanding and exploring environment of outdoor robot. Firstly, building surface and wall region are extracted then the wall region is binarized. The noises such as the thin connection, small regions...

Full description

Saved in:
Bibliographic Details
Published in2009 ICCAS-SICE pp. 165 - 170
Main Authors Suk-Ju Kang, Hoang-Hon Trinh, Dae-Nyeon Kim, Kang-Huyn Jo
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2009
Subjects
Building Component Detection
Buildings
Context Information
Data mining
Intelligent robots
Layout
Multiple Cues
Outdoor Robot
Roads
Robot kinematics
Rough surfaces
Surface roughness
Windows
Working environment noise
Online AccessGet full text

Cover

More Information
Summary:This paper describes an approach to detect the components, specially the windows, of building for understanding and exploring environment of outdoor robot. Firstly, building surface and wall region are extracted then the wall region is binarized. The noises such as the thin connection, small regions are rejected. The context information and multiple cues such as the coordinates, aspect ratio and aligned coexistence are used to detect the windows. The proposed approach has been experimented with 150 surfaces comprising 1607 windows. We obtained 93.34% detection rate. Furthermore, the method also extracts the candidate regions for detecting the doors of building.
ISBN:9784907764340
4907764340