Abstract
Active contours or snakes have been broadly used in image processing applications and computer vision system. Face contour represents relevant and useful information commonly implemented in biometric applications using human face information. For parametric deformable models, snakes are broadly applied in detection of boundary, modeling of shape, motion tracking, etc. In this paper, the segment of facial information using snake or active contour model has been applied. The import information is retrieved that is face image from given database image for identifying or verifying a human face purpose. The accurate snake contour of simulation results shows that it can be fitted for face detection.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Kass M, Witkin A, Terzopoulos D (1987) Snakes: active contour models. Int J Comput Vis 1:321–331
Yan H (2001) Human face image processing techniques. Int J Image Graphics I(2):197–215
Amarapur B, Kulkarni PK (2011) External force for deformable models in medical image segmentation: a survey. Signal Image Process: Int J (SIPIJ) 2(2)
Face database available from http://vision.ucsdedu/iskwak/ExtYaleDatabase/download.html
Xu C (1998) Student Member, IEEE, and Jerry L. Prince, Senior Member, IEEE. Snakes, shapes, and gradient vector flow. IEEE Trans Image Process 7(3)
Mahapatra D, Routray A, Mishra C (2006) An active snake model for classification of extreme emotions. 1-4244-0726-5/06/$20.OO 2006 IEEE
Kim S-K, Park YJ, Toh K-A, Lee S (2010) SVM-based feature extraction for face recognition. Pattern Recogn 43(2010):2871–2881 (ElsevierLtd)
Hsu C-Y, Wang H-F, Wang H-C, Tseng K-K, Tang Y-J (2010) Automatic extraction of face contours. 978-1-4244-8126-2/10/$26.00 ©2010 IEEE
Ramesh R, Kulkarni AC, Prasad NR, Manikantan K (2016) Face recognition using snakes algorithm and skin. In: Proceedings of international conference on signal, network, computing and systems, ICSNCS 2016, vol 1
Cohen LD (1991) An active contour models and balloons. CVGIP: Image Underst 53(2):211–218
Chen C, Tamie L, Jason J, Steven H, Richard B, Bill H, Paul A, William J, Peter R (2004) Segmentation of arterial geometry from ultrasound images using balloon models. In: IEEE international conference proceedings, pp 1319–1322
Li B, Action ST (2007) Active contour external force using vector field convolution for image segmentation. IEEE Trans Image Process 16(8)2096–2105
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Rangayya, Amrapur, B. (2019). Active Contour Model Applied to Segmentation of Human Face. In: Saini, H., Singh, R., Patel, V., Santhi, K., Ranganayakulu, S. (eds) Innovations in Electronics and Communication Engineering. Lecture Notes in Networks and Systems, vol 33. Springer, Singapore. https://doi.org/10.1007/978-981-10-8204-7_4
Download citation
DOI: https://doi.org/10.1007/978-981-10-8204-7_4
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-8203-0
Online ISBN: 978-981-10-8204-7
eBook Packages: EngineeringEngineering (R0)