Image analysis – Applications – 3-d or stereo imaging analysis
Reexamination Certificate
2006-11-07
2006-11-07
Mehta, Bhavesh M. (Department: 2625)
Image analysis
Applications
3-d or stereo imaging analysis
C382S285000, C345S419000, C356S012000, C348S042000, C359S462000
Reexamination Certificate
active
07133551
ABSTRACT:
A semi-automatic reconstruction method of 3-D building models using building outline segments is introduced. The core technology of the present invention is called the “Split-Merge-Shape” algorithm. The Split and Merge processes sequentially reconstruct the topology between any roof-edges of the buildings and then reform them as enclosed regions. The Shape process uses height information and consecutive-coplanar analysis to determine the shapes and heights of the roofs. After generating polyhedral building models, prismatic building models can also be generated by using a semi-automatic procedure. An existing digital topographic map of buildings can be directly used to reconstruct their 3-D models without any excess stereo-measurements. In addition to cost reduction, high efficiency, high quality, and minimization of manual operations, the integration of photogrammetric mapping with 3-D building modeling in one procedure is possible, which is the most cost-effective approach for 3-D mapping.
REFERENCES:
“On The Performance of Semi-Automatic Building Extraction” Eberhard Gulch, Hardo Muller, Thomas Labe, and Lemonia Ragia / Institute of Photogrammetry University Bonn, Germany / Commission III, Working Group 4.
“CC-Modeler: A Topology Generator for 3-D City Models” Armin Gruen and Xinhua Wang / ISPRS Journal of Photogrammetry & Remote Sensing 53 (1998) / p. 286-295.
“The Role of Color Attributes and Siminarity Grouping in 3-D Building Reconstruction” Olof Henricsson / Computer Vision and Image Understanding vol. 72. No. 2. Nov., 1998 / Article No. IV980718 / p. 163-184.
Chen Liang-Chien
Rau Jiann-Yeou
Carter Aaron
J.C. Patents
Mehta Bhavesh M.
National Central University
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