Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
A comparison of clustering algorithms applied to color image quantization
Pattern Recognition Letters - special issue on pattern recognition in practice V
LCIS: a boundary hierarchy for detail-preserving contrast reduction
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
An adaptive clustering algorithm for color quantization
Pattern Recognition Letters
Use of the Hough transformation to detect lines and curves in pictures
Communications of the ACM
Stylization and abstraction of photographs
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Integration of geomorphing into level of detail management for realtime rendering
SCCG '02 Proceedings of the 18th spring conference on Computer graphics
Hierarchical Representation of Virtual Cities for Progressive Transmission over Networks
3DPVT '06 Proceedings of the Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06)
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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Three-dimensional (3D) urban models, come with huge data size, mainly consisting of the details of geometry and texture of the objects, and simplification of both is often needed for efficient streaming, rendering and visualization. A large number of objects in 3D urban models are buildings and the image files representing their texture contain information of the walls, streets, doors, and windows etc., which have linear edges. We present a technique to identify the images representing the texture of these objects, and propose a compact format to encode them in much smaller size compared to the existing standard image formats.