Image Overlapping Technique without Model for Large LoD Terrain Based on GPU

Yuan Li Han; Yan Ping Chen

doi:10.4028/www.scientific.net/AMM.556-562.4792

Paper Titles

A Study of Spore Image Classification Based on Feature Extraction
p.4774

The Parameter Estimation of Non-Cooperative Frequency Hopping Signals Based on the Algorithm of RSPWVD
p.4779

Application of Improved Dual-Threshold Segmentation for Tongue Image Based on HSI
p.4784

Creating the Bag-of-Words with Spatial Context Information for Image Retrieval
p.4788

Image Overlapping Technique without Model for Large LoD Terrain Based on GPU
p.4792

A Variational Level Set Model Based on Local Clustering for Image Segmentation
p.4797

The Fast Convolution Neural Networks Applied to License Plate Recognition
p.4802

An Algorithm for Image Enhancement via Sparse Representation
p.4806

Research and Implementation of Character Recognition System Based on Android Platform
p.4811

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 556-562Image Overlapping Technique without Model for...

Image Overlapping Technique without Model for Large LoD Terrain Based on GPU

Abstract:

There are many difficulties in image overlapping in 3D terrain of dynamic LoD quad tree model, it will cause gaps between terrain tiles and images if both of them are expressed independently. This paper breaks through the LoD mesh difficulties, and realizes image overlapping based on GPU programming without modeling. It establishes different texture coordinate transformational relationships in GPU to realize seamless expression between terrain texture and overlapping image based on setting terrain vertexes with global unified texture coordinate. The affine transformation is adopted to solve the difficulty of multiple spatial nonlinear transformations aiming to the interaction of image overlapping, and also to solve the non-synchronous problem of texture coordinate in interaction. At last, the conclusion may be achieved. Image overlapping technique in LoD terrain without modeling based on GPU is a typical case of render technology to solve application difficulties, the realization is simple, efficient and steady which only faces to single terrain tile. This research will greatly enhance the ability of Digital Earth, which completely clear an important technical barriers and promote the applications in GeoDesign.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 556-562)

Pages:

4792-4796

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.556-562.4792

Citation:

Cite this paper

Online since:

May 2014

Authors:

Yuan Li Han*, Yan Ping Chen

Keywords:

GeoDesign, GIS, GPU, Image Overlapping, LOD, Terrain Visualization

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] G.T. Chiang, TOH White, MT Dove. Geo-visualization Fortran library COMPUTERS & GEOSCIENCES, 2011, 37(1): 65-74.

DOI: 10.1016/j.cageo.2010.04.012

Google Scholar

[2] C. Tanner Christopher, J. Migdal Christopher, T. Jones Michael. The ClipMap，A Virtual MipMap. Siggraph (1998).

DOI: 10.1145/280814.280855

Google Scholar

[3] H.W. Wang, S.H. Dong. A View-Dependent Dynamic Multiresolution Terrain Model. JOURNAL OF COMPUTER-AIDED DESIGN & COMPUTER GRAPHICS. 2000. 12(8): 575-579.

Google Scholar

[4] B.Q. Zhang, L.M. Zhang, J.T. Zhang. GPU-based real-time terrain rendering algorithm using batched LOD. Journal of Image and Graphics. 2012. 17(4)：582-588.

Google Scholar

[5] B.Y. Li, C.X. Zhao. A GPU Based Run-Time Quad-Tree Construction Method for Fast Terrain Rendering. JOURNAL OF COMPUTER-AIDED DESIGN & COMPUTER GRAPHICS. 2010. 22(12)：2259-2264.

Google Scholar

[6] R. Bajcsy, S. Kovacic. Multiresolution elastic matching. Computer Vision, Graphics, and Image Processing, 1989, 46(1)：1-21.

DOI: 10.1016/s0734-189x(89)80014-3

Google Scholar

[7] W.Y. Wang, D.M. Zhang. Fast Spatial Verification with Affine Transformation. JOURNAL OF COMPUTER-AIDED DESIGN & COMPUTER GRAPHICS. 2007. 19(5): 595-599.

DOI: 10.3724/sp.j.1089.2010.10624

Google Scholar

[8] I. H Chu, A. Rangarajan. A new point matching algorithm for non-rigid registration. Computer Vision and Image Understanding, 2003, 89 (2): 114-141.

DOI: 10.1016/s1077-3142(03)00009-2

Google Scholar