Modeling and rendering architecture from photographs: a hybrid geometry- and image-based approach
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Computational geometry in C (2nd ed.)
Computational geometry in C (2nd ed.)
Structure and Motion from Line Segments in Multiple Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Environment for Mobile Context-Based Hypermedia Retrieval
DEXA '02 Proceedings of the 13th International Workshop on Database and Expert Systems Applications
Automatic Pose Estimation of Complex 3D Building Models
WACV '02 Proceedings of the Sixth IEEE Workshop on Applications of Computer Vision
Integrating Ground and Aerial Views for Urban Site Modeling
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 4 - Volume 4
Pose imagery and automated three-dimensional modeling of urban environments
Pose imagery and automated three-dimensional modeling of urban environments
SAMATS – triangle grouping and structure recovery for 3d building modeling and visualization
W2GIS'05 Proceedings of the 5th international conference on Web and Wireless Geographical Information Systems
| Hi-index | 0.00 |
The creation of detailed 3D buildings models, and to a greater extent the creation of entire city models, has become an area of considerable research over the last couple of decades. The accurate modeling of buildings has LBS (Location Based Services) applications in entertainment, planning, tourism and e-commerce to name just a few. Many modeling systems created to date require manual correspondences to be made across the image set in order to determine the models 3D structure. This paper describes SAMATS, a Semi-Automated Modeling And Texturing System, which has the capability of producing geometrically accurate and photorealistic building models without the need for manual correspondences by using a set of geo-referenced terrestrial images. This paper gives an overview of SAMATS' components, while describing the Edge Highlighting component and the Intersection Rating step from the Edge Recovery component in detail.