High-performance computing in image registration

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 8539, Issue , 2012, Pages

  Zanin, Michele ^a   Remondino, Fabio ^a   Dalla Mura, Mauro ^b  

^a FONDAZIONE BRUNO KESSLER   (Italy)

^b GIPSA LAB   (France)

Author keywords

Graphical Processing Unit; High Performance Computing; image registration; photogrammetry

Indexed keywords

DIGITAL SIGNAL PROCESSORS (DSP); FEATURE EXTRACTION AND MATCHING; GEOMETRIC TRANSFORMATIONS; GRAPHICAL PROCESSING UNIT (GPUS); GRAPHICAL PROCESSING UNITS; HIGH PERFORMANCE COMPUTING; HIGH RESOLUTION IMAGE; TECHNOLOGICAL ADVANCES;

DIGITAL SIGNAL PROCESSING; DISTRIBUTED COMPUTER SYSTEMS; FEATURE EXTRACTION; IMAGE REGISTRATION; MATHEMATICAL TRANSFORMATIONS; METADATA; PARALLEL ARCHITECTURES; PHOTOGRAMMETRY; REMOTE SENSING;

COMPUTER GRAPHICS EQUIPMENT;

EID: 84875692601     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.981177     Document Type: Conference Paper

References (14)

1. Remondino, F. and Niederoest, J., "Generation of high-resolution Mosaic for photo-realistic texture-mapping of cultural heritage 3D models", Proc. 5th International VAST Symposium, pp. 85-92 (2004).
2. Akca, D., "Matching of 3D surfaces and their intensities", ISPRS Journal of Photogrammetry and Remote Sensing, 62 (2), 112-121 (2007).
3. Tombari, F., Salti, S. and Di Stefano, L., "A combined texture-shape descriptor for enhanced 3D feature matching", IEEE Int. Conference on Image Processing (ICIP 2011), Brussels, Belgium (2011).
4. Remondino, F., Rizzi, A., Barazzetti, L., Scaioni, M., Fassi, F., Brumana, R. and Pelagotti, A., "Review of geometric and radiometric analyses of paintings", The Photogrammetric Record, 26(136), 439-461 (2011).
5. Brown, D., C., "The bundle adjustment-progress and prospects", Int. Archives Photogrammetry, 21(3) (1976).
6. Triggs, B., McLauchlan, P., Hartley, R. and Fitzgibbon, A. "Bundle Adjustment-A Modern Synthesis", Proc. Workshop on Vision Algorithms, Springer-Verlag. pp. 298-372 (1999).
7. Lowe, D. G., "Object recognition from local scale-invariant features", Proc. 7th ICCV, Vol. 2, pp. 1150-1157 (1999).
8. Bay, H., Tuytelaars, T. and Gool, L.V., "SURF: Speeded Up Robust Features", Proc. 9th ECCV (2006).
9. Nvidia, C. U. D. A., "Compute unified device architecture programming guide" (2007).
10. Barazzetti, L., Scaioni, M. and Remondino, F., "Orientation and 3D modelling from markerless terrestrial images: combining accuracy with automation", The Photogrammetric Record, 25(132), 356-381 (2010).
11. Press, W. H., Teukolsky, S. A., Vetterling, W. T., and Flannery, B. P., "Numerical recipes 3rd edition: The art of scientific computing", Cambridge University Press (2007).
12. Fischler, M.A. and Bolles, R.C., "Random Sample Consensus: A Paradigm for Model Fitting with Applications to Image Analysis and Automated Cartography", Comm. of the ACM 24 (6): 381-395 (1987)
13. http://homes.cs.washington.edu/-ccwu/vsfm/
14. Wu, C., "SiftGPU: A GPU implementation of scale invariant feature transform (SIFT)", http://cs.unc.edu/-ccwu/siftgpu (2007).