Surface simplification using quadric error metrics
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Matrix Zoom: A Visual Interface to Semi-External Graphs
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
Legible Cities: Focus-Dependent Multi-Resolution Visualization of Urban Relationships
IEEE Transactions on Visualization and Computer Graphics
Legible Simplification of Textured Urban Models
IEEE Computer Graphics and Applications
Towards the Big Picture: Enriching 3D Models with Information Visualisation and Vice Versa
SG '09 Proceedings of the 10th International Symposium on Smart Graphics
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Many previous approaches to detecting urban change from LIDAR point clouds interpolate the points into rasters, perform pixel-based image processing to detect changes, and produce 2D images as output. We present a method of LIDAR change detection that maintains accuracy by only using the raw, irregularly spaced LIDAR points, and extracts relevant changes as individual 3D models. We then utilize these models, alongside existing GIS data, within an interactive application that allows the chronological exploration of the changes to an urban environment. A three-tiered level-of-detail system maintains a scale-appropriate, legible visual representation across the entire range of view scales, from individual changes such as buildings and trees, to groups of changes such as new residential developments, deforestation, and construction sites, and finally to larger regions such as neighborhoods and districts of a city that are emerging or undergoing revitalization. Tools are provided to assist the visual analysis by urban planners and historians through semantic categorization and filtering of the changes presented.