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
Viewer-based directional querying for mobile applications
WISEW'03 Proceedings of the Fourth international conference on Web information systems engineering workshops
SAMATS – edge highlighting and intersection rating explained
ER'05 Proceedings of the 24th international conference on Perspectives in Conceptual Modeling
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Location based and spatial technologies research for the web has endless application for mobile/position content delivery (m-commerce or p-commerce). By exploiting the inherent location-based intelligence of the underling spatial component, relevant examples can include geometrically accurate and photo realistic virtual representations for: property assessments; land/marine information systems; routing information; on-line shopping; cultural heritage/tourist information/sites; etc. A major challenge for this technology is its reliance on professional developers when creating the virtual worlds used for web-based navigation of these services. This paper describes SAMATS, a Semi-Automated Modeling And Texturing System, which has the capability of producing geometrically accurate and photorealistic VR building models for web-based p-commerce applications from a set of geo-referenced terrestrial images. This paper describes the second of three main components that comprise the full functionality of the complete SAMATS implementation. It focuses on the triangle grouping and structure recovery steps, while providing an overview of SAMATS' other components.