3D Building Reconstruction Using a New Perceptual Grouping Technique
2
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
This paper presents a new method for building detection and reconstruction from aerial images. In our approach, we extract the useful building location information from the generated disparity map to obtain the segmentation of interested objects and thus reduce significantly unnecessary line segment extracted in low level feature extraction step. Hypothesis selection is carried out by using undirected graph in which close cycles represent complete rooftops hypotheses, and hypothesis are finally tested to contruct building model. We test the proposed method with synthetic images generated from Avenches dataset of Ascona aerial images. The experiment result shows that the extracted 3D line segments of the buildings can be efficiently used for the task of building detection and reconstruction from aerial images.
Abstract
This paper presents a new method for building detection and reconstruction from aerial images. In our approach, we extract the useful building location information from the generated disparity map to obtain the segmentation of interested objects and thus reduce significantly unnecessary line segment extracted in low level feature extraction step. Hypothesis selection is carried out by using undirected graph in which close cycles represent complete rooftops hypotheses, and hypothesis are finally tested to contruct building model. We test the proposed method with synthetic images generated from Avenches dataset of Ascona aerial images. The experiment result shows that the extracted 3D line segments of the buildings can be efficiently used for the task of building detection and reconstruction from aerial images.
참고문헌 (14)
- A. Huertas, "Detecting Buildings in Aerial Images", Computer Vision Graphics and Image Processing, 41(2), pp.131~152 (1988)
- C.A. Lin, "Building Detection and Description from a Single Intensity Image", Computer Vision and Image Understanding, 72(2), pp.101~121 (1998)
- A. Fischer, "Extracting Buildings from Aerial Images Using Hierarchical Aggregation in 2D and 3D", Computer Vision and Image Understanding, 72(2), pp.185~203 (1998)
- S. Noronha, "Detection and Modeling of Buildings from Multiple Aerial Images", IEEE Transaction on Pattern Analysis and Machine Intelligence, 23(5), pp.501~518 (2001)
- R. Collins, "The Ascender System: Automated Site Modeling from Multiple Aerial Images", Computer Vision and Image Understanding, 72(2), pp.143~162 (1998)
- R. Mohan, "Using Perceptual Organization to Extract 3D Structure", Trans. Pattern Analysis and Machine Intelligence, 11(11), pp.1121~1139 (1989)
- A. Huertas, "Use of Cues from Range Data for Building Modeling", Proc. DARPA Image Understanding Workshop, pp.577~582 (1998)
- Z. Kim, "Automatic description of complex buildings from multiple images", Computer Vision and Image Understanding, 96, pp.60~95 (2004)
- C. Jaynes, "Task driven perceptual organization for extraction of rooftop polygons", IEEE Workshop on Application of Computer Vision, pp.152~159 (1994)
- R. Zabih, "A non-parametric approach to visual correspondence", Submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence.
- J.Banks,M.Bennamoun and P.Cork, "Non-parametric technique for fast and robust stereo matching", IEEE TENCON – Speech and Image Technologies for Computing and Telecommunication, pp.365~368 (1997)
- M. Boldt, "Token-based Extraction of Straight Lines", IEEE Trans. Systems Man Cybernetics, 19, pp.1581~1594 (1989)
- M.Hannah, "System for Digital Stereo Image Matching", Photogrammetric Engineering and Remote Sensing, 55, pp.1765~1770 (1989)
- H.Schultz, "Terrain Reconstruction from Widely Separated Images", Proceeding of SPIE, 2486, pp.113~122 (1995)