Author:
Chun Liu
Affiliation:
INRIA, France
Keyword(s):
Perspective rectification, Line segment detection, Image segmantation, Markov random field, Symmetry detection.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Computer Vision, Visualization and Computer Graphics
;
Data Manipulation
;
Feature Extraction
;
Features Extraction
;
Health Engineering and Technology Applications
;
Human-Computer Interaction
;
Image and Video Analysis
;
Informatics in Control, Automation and Robotics
;
Methodologies and Methods
;
Neurocomputing
;
Neurotechnology, Electronics and Informatics
;
Pattern Recognition
;
Physiological Computing Systems
;
Segmentation and Grouping
;
Sensor Networks
;
Signal Processing, Sensors, Systems Modeling and Control
;
Soft Computing
;
Statistical Approach
Abstract:
Recently image based facade modeling has attracted significant attention for 3D urban reconstruction because of low cost on data acquisition and large amount of available image processing tools. In image based facade modeling, it normally requests a rectified and segmented image input covering only the facade region. Yet this requirement involves heavy manual work on the perspective rectification and facade region extraction. In this paper, we propose an automatic rectification and segmentation process using line segment features. The raw input image is firstly rectified with the help of two vanishing points estimated from line segment in the image. Then based on the line segment spatial distribution and the luminance feature, the facade region is extracted from the sky, the road and the near-by buildings. The experiments show this method successfully work on Paris urban buildings.