Automatic feature matching between digital images and 2D representations of a 3Dlaser scanner point cloud

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

Volumn 38, Issue PART 5, 2010, Pages 446-451

  Meierhold, N ^a   Spehr, M ^a   Schilling, A ^a   Gumhold, S ^a   Maas, H G ^a  

^a DRESDEN UNIVERSITY OF TECHNOLOGY   (Germany)

Author keywords

Data fusion; Feature matching; Fundamental matrix; Intensity image; RANSAC; SIFT; Terrestrial laser scanning

Indexed keywords

CAMERAS; DATA FUSION; LASER APPLICATIONS; THREE DIMENSIONAL COMPUTER GRAPHICS; SCANNING;

FEATURE MATCHING; FUNDAMENTAL MATRIX; INTENSITY IMAGES; RANSAC; SIFT; TERRESTRIAL LASER SCANNING;

IMAGE PROCESSING;

EID: 80855142296     PISSN: 16821750     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. Becker, S. & Haala, N., 2007. Combined Feature Extraction for Facade Reconstruction. ISPRS Workshop on Laser Scanning and SilviLaser, 36, pp. 44-49.
2. Böhm, J. & Becker, S., 2007. Automatic marker-free registration of terrestrial laser scans using reflectance features. 8th Conference on Optical 3D Measurement Techniques, pp. 338-344.
3. Fischler, M. A. & Bolles, R. C., 1981. Random Sample Consensus: A Paradigm for Model Fitting with Applications to Image Analysis and Automated Cartography. Communications of the ACM, Vol. 24(6), pp. 381-395.
4. Harris, C. & Stephens, M., 1988. A combined corner and edge detector. Proceedings of the Fourth Alvey VisionConference, pp. 147-151.
5. Hartley, R. I. & Zisserman, A., 2004. Multiple View Geometry in Computer Vision. Second edition, Cambridge University Press, pp. 241-245.
6. Jazayeri, I. & Fraser, C., 2010. Interest Operators for the feature-based matching in close range photogrammetry. The Photogrammetric Record, Vol. 25 (129), pp. 24-41.
7. Lingua, A., Marenchino, D. & Nex, F., 2009. Performance Analysis of the SIFT Operator for Automatic Feature Extraction and Matching in Photogrammetric Applications. Journal of Sensors, 9(5), pp. 3745-3766.
8. Lowe, D. G., 2004. Distinctive image features from scaleinvariant keypoints. International Journal of Computer Vision, 60 (2), pp. 91-110.
9. Matas, J., Chum, O., Urban, M. & Pajdla, T., 2002. Robust Wide Baseline Stereo from Maximally Stable Extremal Regions. British Machine Vision Computing, pp. 384-393.
10. Mikolajczyk, K., & Schmid, C., 2005. A Performance Evaluation of Local Descriptors. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 27, No. 10, pp. 1615- 1630.
11. Tuytelaars, T. & Mikolajczyk, K., 2007. Local Invariant Feature Detectors: A Survey. Foundations and Trends in Computer Graphics and Vision, Vol. 3, No. 3, pp. 177-280.
12. Vedaldi, A. & Fulkerson, B., 2008. VLFeat: An Open and Portable Library of Computer Vision Algorithmshttp://www.vlfeat.org/(accessed 27.11.2009).