JBiSE  Vol.2 No.6 , October 2009
Unsupervised human height estimation from a single image
Author(s) Ye-Peng Guan
ABSTRACT
The single image containing only a human face not previously addressed in the literature is employed to estimate body height. The human face especially the facial vertical distribution possesses some important information which strongly correlates with the stature. The vertical proportions keep up relative constancy during the human growth. Only a few facial features such as the eyes, the lip and the chin are necessary to extract. The metric stature is estimated according to the statistical measurement sets and the facial vertical golden proportion. The estimated stature is tested with some individuals with only a single facial image. The performance of the proposed method is compared with some similar methods, which shows the proposal performs better. The experimental results highlight that the developed method estimates stature with high accuracy.

Cite this paper
nullGuan, Y. (2009) Unsupervised human height estimation from a single image. Journal of Biomedical Science and Engineering, 2, 425-430. doi: 10.4236/jbise.2009.26061.
References
[1]   C. Ben-Abdelkader, R. Cutler, and L. S. Davis, (2002) Person identification using automatic height and stride estimation, Proceedings of 16th International Conference on Pattern Rec-ognition, 4, 377–380.

[2]   A. Criminisi, (2002) Single-view metrology: Algorithms and applications, Proceedings of 24th DAGM Symposium on Pat-tern Recognition, 224–239.

[3]   N. Saitoh, K. Kurosawa, and K. Kuroki, (1999) A study on height measurement from a single view, Proceedings of Inter-national Conference on Image Processing, 3, 523–526.

[4]   A. Bovyrin and K. Rodyushkin, (2005) Human height predic-tion and roads estimation for advanced video surveillance sys-tems, Proceedings of IEEE Conference on Advanced Video and Signal-Based Surveillance, 219– 223.

[5]   C. S. Madden and M. Piccardi, (2005) Height measurement as a session-based biometric, Proceedings of Image and Vision Computing New Zealand, 282–286.

[6]   D. De Angelis, R. Sala, A. Cantatore, P. Poppa, M. Dufour, M. Grandi, and C. Cattaneo, (2007) New method for height esti-mation of subjects represented in photograms taken from video surveillance systems, International Journal of Legal Medicine, 121(6), 489–492.

[7]   D. Kim, J. Lee, H. -S.Yoon, and E. -Y. Cha, (2007) A non-cooperative user authentication system in robot environ-ments, IEEE Trans. Consumer Electronics, 53(2): 804–811.

[8]   L. Zhang, (2006) Fast stereo matching algorithm for interme-diate view reconstruction of stereoscopic television images, IEEE Trans. Circuits and Systems for Video Technology, 16(10), 1259–1270.

[9]   F. Remondino, S. F. El-Hakim, A. Gruen, and L. Zhang, (2008) Turning images into 3-D models, IEEE Signal Processing Magazine, 25(4), 55–65.

[10]   W. Xiong, H. S Chung, and J. Jia, (2009) Fractional stereo matching using expectation-maximization, IEEE Trans. Pattern Analysis and Machine Intelligence, 31(3), 428–443.

[11]   C. Ben Abdelkader and Y. Yacoob, (2008) Statistical body height estimation from a single image, Proceedings of 8th IEEE International Conference on Automatic Face and Gesture Recognition, 1–7.

[12]   R. Wang and F. P. Ferrie, (2008) Self-calibration and metric reconstruction from single images, Proceeding of International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 639–644.

[13]   L. Fengjun, Z. Tao, and R. Nevatia, (2002) Self-calibration of a camera from video of a walking human, Proceedings of 16th International Conference on Pattern Recognition, 1, 562–567.

[14]   Y. Kida, S. Kagami, T. Nakata, M. Kouchi, and H. Mizoguchi, (2004) Human finding and body property estimation by using floor segmentation and 3D labeling, Proceedings of IEEE In-ternational Conference on Systems, Man and Cybernetics, 3, 2924–2929.

[15]   S. -H. Lee and J. -S. Choi, (2007) A single-view based frame-work for robust estimation of height and position of moving people, Proceedings of Pacific-Rim Symposium on Image and Video Technology, 562–574.

[16]   E. Jeges, I. Kispal, and Z. Hornak, (2008) Measuring human height using calibrated cameras, Proceedings of Conference on Human System Interactions, 755–760.

[17]   A. Criminisi, I. Reid, and A. Zisserman, (1999) Single view metrology, Proceedings of 7th International Conference on Computer Vision, 434–442.

[18]   T. -Y. Shiang, (1999) A statistical approach to data analysis and 3-D geometric description of the human head and face, Pro-ceedings of the National Science Council, Republic of China, Part B, Life Sciences, 23(1), 19–26.

[19]   H. Gunes and M. Piccardi, (2006) Assessing facial beauty through proportion analysis by image processing and super-vised learning, International Journal of Human-Computer Studies, 64(12), 1184–1199.

[20]   Y. Jefferson, (2004) Facial beauty: Establishing a universal standard, International Journal of Orthodontics, 15(1), 9–22.

[21]   C. E. Nasjleti and C. J. Kowalski, (1975) Stability of upper face height-total face height ratio with increasing age, Journal of Dental Research, 54(6), 12–41.

[22]   H. L. Obwegeser and L. J. Marentette, (1986) Profile planning based on alterations in the positions of the bases of the facial thirds, Journal of Oral and Maxillofacial Surgery, 44(4), 302–311.

[23]   C. Sforza, A. Laino, R. D'Alessio, C. Dellavia, G. Grandi, and V. F. Ferrario, (2007) Three-dimensional facial morphometry of attractive children and normal children in the deciduous and early mixed dentition, The Angle Orthodontist, 77(6), 1025–33.

[24]   R. Li, S. Yu, and X. Yang, (2007) Efficient spatio-temporal segmentation for extracting moving objects in video sequences, IEEE Trans. Consumer Electronics, 53(3), 1161– 1167.

[25]   S. Youn, J. -H. Ahn, and K. Park, (2008) Entrance detection of a moving object using intensity average variation of subtrac-tion images, Proceedings of International Conference on Smart Manufacturing Application, 459–464.

[26]   Y. P. Guan, (2008) Wavelet multi-scale transform based fore-ground segmentation and shadow elimination, The Open Sig-nal Processing Journal, 1(6), 1–6.

[27]   K. Sridharan and V. Govindaraju, (2005) A sampling based approach to facial feature extraction, Proceedings of 4th IEEE Workshop on Automatic Identification Advanced Technologies, 51–56.

[28]   F. Song, D. Zhang, D. Mei, and Z. Guo, (2007) A multiple maximum scatter difference discriminant criterion for facial feature extraction, IEEE Trans. Systems, Man, and Cybernetics, Part B, 37(6), 1599–1606.

[29]   Y. He, (2009) Real-time nonlinear facial feature extraction using Cholesky decomposition and QR decomposition for face recognition, Proceedings of International Conference on Elec-tronic Computer Technology, 306– 310.

[30]   P. J. Phillips, H. Moon, S. A. Rizvi, and P. J. Rauss, (2000) The feret evaluation methodology for face-recognition algorithms, IEEE Trans. Pattern Analysis and Machine Intelligence, 22(10), 1090–1104.

[31]   A. M. Martinez, (2002) Recognizing imprecisely localized partially occluded and expression variant faces from a single sample per class, IEEE Trans. Pattern Analysis and Machine Intelligence, 24(6), 748–763.

[32]   H. Wang and S. F. Chang, (1997) A highly efficient system for automatic face region detection in MPEG videos, IEEE Trans. Circuit System Video Technology, 7(4), 615–628.

[33]   C. Garcia and G. Tziritas, (1999) Face detection using quan-tized skin colour regions merging and wavelet packet analysis, IEEE Trans. Multimedia, 1(3), 264–277.

[34]   Y. Guan, (2007) Robust eye detection from facial image based on multi-cue facial information, Proceedings of IEEE Interna-tional Conference on Control and Automation, 1775–1778.

[35]   G. Chetty and M. Wagner, (2004) Automated lip feature extrac-tion for liveness verification in audio-video authentication, Proceedings of Image and Vision Computing, 17–22.

[36]   J. F. Annis and C. C. Gordon, (1988) The development and validation of an automated headboard device for measurement of three-dimensional coordinates of the head and face, Tech. Report, http://oai.dtic.mil/oai/oai.

 
 
Top