Fusing oblique imagery with augmented aerial LiDAR

GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems

Volumn , Issue , 2012, Pages 426-429

  Gao, Zhenzhen ^a   Nocera, Luciano ^a   Neumann, Ulrich ^a  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

aerial LiDAR point cloud; aerial oblique imagery; augmentation; color mapping; GPU splatting; image blending; point based rendering; texture mapping; visibility test

Indexed keywords

AUGMENTATION; COLOR MAPPING; IMAGE BLENDING; POINT CLOUD; POINT-BASED RENDERING; SPLATTING; TEXTURE MAPPING;

COLOR; IMAGE RESOLUTION; OPTICAL RADAR; VISIBILITY;

GEOGRAPHIC INFORMATION SYSTEMS;

EID: 84872767271     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2424321.2424381     Document Type: Conference Paper

References (12)

1. M. Dellepiane, M. Callieri, M. Corsini, P. Cignoni, and R. Scopigno. Improved color acquisition and mapping on 3d models via flash-based photography. J. Comput. Cult. Herit., 2(4):9:1-9:20, Mar. 2010.
2. C. Frueh, R. Sammon, and A. Zakhor. Automated texture mapping of 3d city models with oblique aerial imagery. In Proceedings of the 3D Data Processing, Visualization, and Transmission, 2nd International Symposium, 3DPVT '04, pages 396-403, Washington, DC, USA, 2004. IEEE Computer Society.
3. Z. Gao, L. Nocera, and U. Neumann. Visually-complete aerial lidar point cloud rendering. ACM SIGSPATIAL GIS, 2012.
4. H. K., S. T., K. K., and M. M. Combination of different surveying methods for archaeological documentation: the case study of the bronze age wooden chest from mitterberg. In Proceedings of the 38th Conference on Computer Applications and Quantitative Methods in Archaeology, Granada, Spain, 2010. IEEE Computer Society.
5. B. Kovaĉ and B. alik. Visualization of lidar datasets using point-based rendering technique. Comput. Geosci., 36(11):1443-1450, Nov. 2010.
6. C. A. Li-Chee-Ming J. Fusion of optical and terrestrial laser scanner data. In CD-ROM proceedings Canadian Geomatics Conference 2010 and ISPRS Com I Symposium, pages 156-161. ISPRS, March 2011.
7. W. R. Mark, R. S. Glanville, K. Akeley, and M. J. Kilgard. Cg: a system for programming graphics hardware in a c-like language. In ACM SIGGRAPH 2003 Papers, SIGGRAPH '03, pages 896-907, New York, NY, USA, 2003. ACM.
8. A. Mastin, J. Kepner, and J. W. F. III. Automatic registration of lidar and optical images of urban scenes. In Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 2639-2646. IEEE, 2009.
9. R. Pintus, E. Gobbetti, and M. Callieri. A streaming framework for seamless detailed photo blending on massive point clouds. In Proc. Eurographics Area Papers, pages 25-32, 2011.
10. C. Scheiblauer, N. Zimmermann, and M. Wimmer. Interactive domitilla catacomb exploration. In K. Debattista, C. Perlingieri, D. Pitzalis, and S. Spina, editors, VAST, pages 65-72. Eurographics Association, September 2009.
11. L. Wang and U. Neumann. A robust approach for automatic registration of aerial images with untextured aerial lidar data. In Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 2623-2630. IEEE, 2009.
12. Q. Wang and S. You. A vision-based 2d-3d registration system. In IEEE Workshop on Applications of Computer Vision (WACV), pages 1-8, Snowbird, Utah, USA, December 2009.