Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
The visible differences predictor: an algorithm for the assessment of image fidelity
Digital images and human vision
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Comparing images using color coherence vectors
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
View-dependent refinement of progressive meshes
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Large scale terrain visualization using the restricted quadtree triangulation
Proceedings of the conference on Visualization '98
Smooth view-dependent level-of-detail control and its application to terrain rendering
Proceedings of the conference on Visualization '98
A Clustering Based Approach to Efficient Image Retrieval
ICTAI '02 Proceedings of the 14th IEEE International Conference on Tools with Artificial Intelligence
Level of Detail for 3D Graphics
Level of Detail for 3D Graphics
Approaches to Large-Scale Urban Modeling
IEEE Computer Graphics and Applications
Geometry clipmaps: terrain rendering using nested regular grids
ACM SIGGRAPH 2004 Papers
Level of Detail Control for Texture on 3D Maps
ICPADS '05 Proceedings of the 11th International Conference on Parallel and Distributed Systems - Workshops - Volume 02
Continuous level-of-detail modeling of buildings in 3D city models
Proceedings of the 13th annual ACM international workshop on Geographic information systems
Fast Compact City Modeling for Navigation Pre-Visualization
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Detailed Real-Time Urban 3D Reconstruction from Video
International Journal of Computer Vision
Factoring repeated content within and among images
ACM SIGGRAPH 2008 papers
Computer Graphics in C#: Principles and Practices
Computer Graphics in C#: Principles and Practices
Hi-index | 0.00 |
This paper proposes a method to control texture resolution for rendering large-scale 3D urban maps. Since on the 3D maps texture data generally tend to be far larger than geometry information such as vertices and triangles, it is more effective to reduce the texture by exploiting the LOD (Level of Detail) in order to decrease whole data size. For this purpose, we propose a new method to control the resolution of the texture. In our method we classify the textures to four classes based on their salient features. The appropriate texture resolutions are decided based on the classification resulsts, their rendered sizes on a display, and their level of importance. We verify the validity of our texture classification algorithm by applying it to the large-scale 3D urban map rendering.