- Volume 23 Issue 4
DOI QR Code
Performance Analysis of Face Recognition by Distance according to Image Normalization and Face Recognition Algorithm
영상 정규화 및 얼굴인식 알고리즘에 따른 거리별 얼굴인식 성능 분석
- Received : 2013.05.02
- Accepted : 2013.08.01
- Published : 2013.08.31
The surveillance system has been developed to be intelligent which can judge and cope by itself using human recognition technique. The existing face recognition is excellent at a short distance but recognition rate is reduced at a long distance. In this paper, we analyze the performance of face recognition according to interpolation and face recognition algorithm in face recognition using the multiple distance face images to training. we use the nearest neighbor, bilinear, bicubic, Lanczos3 interpolations to interpolate face image and PCA and LDA to face recognition. The experimental results show that LDA-based face recognition with bilinear interpolation provides performance in face recognition.
Supported by : 한국연구재단
- H.M Moon, S.H Chae, D.S. Moon, Y.W. Chung, and S.B. Pan, "Intelligent video surveillance system using two-factor human information," Telecommunication Systems, vol. 2013, no. 52, pp. 2249-2257, July 2011.
- Y. Yi, B. Abidi, N.D. Kalka, N. Schmid, and M. Abidi, "High magnification and long distance face recognition: database acquisition, evaluation, and enhancement," Proceedings of 2006 Biometrics Symposium: Special Session on Research at the Biometric Consortium Conference, pp. 1-6. Aug. 2006.
- 문해민, 곽근창, 반성범, "감시카메라 시스템에서 PCA에 의한 보간법과 거리별 얼굴인식률 분석,"한국정보보호학회 논문지, 21(6), pp. 153-160. 2011년 12월.
- M. Turk and A. Pentland, "Eigenfaces for recognition," Journal of Cognitive Neuroscience, vol. 3, no. 1, pp. 71-86, 1991. https://doi.org/10.1162/jocn.1918.104.22.168
- P. Belhumeur, J. Hespanha, and D. Kriegman, "Eigenfaces vs. Fisherfaces: recognition using class specific linear projection," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 19, no. 7, pp. 771-720, July 1999.
- D. B. Alberto and P. Federico, "Towards on-line saccade planning for high-resolution image sensing," Pattern Recognition Letters, vol. 27, no. 15, pp. 1826-1834, May 2006. https://doi.org/10.1016/j.patrec.2006.02.014
- R.C. Gonzalez and R.E. Woods, Digital Image Processing, Prentice Hall, 3rd edition, 2007.
- R. D. Richard, E. H. Peter, and G. S. David, Pattern classification, wiley-interscience, 2nd edition, 2000.
- D. H. Kim, J. Y. Lee, H. S. Yoon, and E. Y. Cha, "A non-cooperative user authentication system in robot environments," IEEE Transactions on Consumer Electronics, vol. 53, no. 2, pp. 804-810, May 2007. https://doi.org/10.1109/TCE.2007.381763
- 문해민, 반성범, "디지털 영상 스케일링을 위한 하이브리드 선형-3차회선 보간법," 2012년도 한국스마트미디어학회 추계학술발표대회 논문집, 1(2), 2012년 12월.
- An Experimental Study on Crack Recognition Characteristics of Concrete Structure based on Image Analysis according to Illuminance and Measurement Distance vol.14, pp.1, 2014, https://doi.org/10.9798/KOSHAM.2014.14.1.85
- The Long Distance Face Recognition using Multiple Distance Face Images Acquired from a Zoom Camera vol.24, pp.6, 2014, https://doi.org/10.13089/JKIISC.2014.24.6.1139
- A Scheme for User Authentication using Pupil vol.14, pp.9, 2016, https://doi.org/10.14400/JDC.2016.14.9.325