References
- D. Miorandia, S. Sicarib, F. D. Pellegrinia, and I. Chlamtaca, "Internet of things: Vision, applications and research challenges," Ad Hoc Networks, Vol. 10, No. 7, pp. 1497-1516, 2012. https://doi.org/10.1016/j.adhoc.2012.02.016
- H. Ali, G. Paar, L. Paletta, "Semantic indexing for visual recognition of buildings," in: Proc. Int'l. Symposium on Mobile Mapping Technology, pp. 28-31, 2007.
- J. Li, W. Huang, L. Shao, and N. Allinson, "Building recognition in urban environments: A survey of state-of-the-art and future challenges," Information Sciences, Vol. 277, No. 1, pp. 406-420, 2014. DOI: 10.1016/j.ins.2014.02.112
- D. Lowe, "Distinctive image features from scale-invariant keypoints," International Journal of Computer Vision, Vol. 60, No. 2, pp. 91-110, 2004. DOI: 10.1023/B:VISI.0000029664.99615.94
- Y. Li, and L. G. Shapiro, "Consistent line clusters for building recognition in CBIR," Pattern Recognition, 2002. Proceedings. 16th International Conference, Vol. 3, pp. 952-956, 2002.
- I. Jolliffe, Principal component analysis, Wiley StatsRef: Statistics Reference Online, 2002.
- D. Cai, X. He, J. Han, Using Graph Model for Face Analysis, Department of Computer Science, University of Illinois at Urbana Champaign, 2005.
- G. J. Malachlan, Discriminant analysis and statistical pattern recognition, Wiley-interscience, New York, 1992.
- M. A. Fischler and R. C. Bolles, "Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography," Communications of the ACM, Vol. 24, No. 6, pp. 381-395, June 1981. https://doi.org/10.1145/358669.358692
- S. Cho, B. Shrestha, B. Hong, and H. Y. Jeong, "Study of Generating Animated Character Using the Face Pattern Recognition," Lecture Notes in Electrical Engineering, Vol. 107, pp. 127-133, 2011. DOI: 10.1007/978-94-007-2598-0_13
- S. Cho, K. C. Son, J. Lee, and S. H. Lee, "FOLI Technique Algorithm for Real-Time Efficient Image Processing," Lecture Notes in Electrical Engineering, Vol. 279, pp1337-1342, 2014. DOI: 10.1007/978-3-642-41674-3_185
- E. Rublee, V. Rabaud, and K. Konolige, "ORB: An efficient alternative to SIFT or SURF," 2011 IEEE International Conference on Computer Vision (ICCV), pp. 2564-2571, 2011.
- Y. Ke and R. Sukthankar. "Pca-sift: A more distinctive representation for local image descriptors," In Computer Vision and Pattern Recognition, pp. 506-513, 2004. DOI: 10.1109/CVPR.2004.1315206
- W. S. Lee, J. Gu, and M. T. Nadia, "Generating Animatable 3D Virtual Humans from Photographs," Computer Graphics Forum, Vol. 19, No. 3, pp. 1-10, 2000. https://doi.org/10.1111/1467-8659.00392
- Z. Wang, B. Fan, and F. Wu, FRIF: Fast Robust Invariant Feature, WANG et al.: Fast robust invariant feature, 1-12, 2013.
- D. G. Lowe, "Distinctive image features from scale-invariant keypoints," International Journal of Computer Vision, Vol. 60, pp.91-110, 2004. https://doi.org/10.1023/B:VISI.0000029664.99615.94
- E. Mair, G. D. Hager, D. Burschka, M. Suppa, and G. Hirzinger, "Adaptive and generic corner detection based on the accelerated segment test," In European conference on Computer vision, pp. 183-196, 2010.
- E. Rosten and T. Drummond, "Machine learning for high-speed corner detection," In European conference on Computer Vision, pp. 430-443, 2006. DOI: 10.1007/11744023_34
- E. Rosten, R. Porter, and T. Drummond, "Faster and better: A machine learning approach to corner detection," Pattern Analysis and Machine Intelligence, Vol. 32, No. 1, pp.105-119, 2010. https://doi.org/10.1109/TPAMI.2008.275
- M. Calonder, V. Lepetit, C. Strecha, and P. Fua, "Brief: binary robust independent elementary features," In European conference on Computer vision, pp. 778-792, 2010.
- E. Rublee, V. Rabaud, K. Konolige, and G. Bradski, "Orb: An efficient alternative to sift or surf." In International Conference on Computer Vision, pp. 2564-2571, 2011.
- H. Bay, T. Tuytelaars, and L. V. Gool, "Surf: speeded up robust features," In European Conference on Computer Vision, pp. 404-417, 2006.