Abstract
In this paper, a mathematical model for 3D face image registration has been proposed with poses varying from 0 to ± 90˚ across yaw,pitch and roll. The method which has been proposed in this paper consists of two major steps:- 3D face registration and comparison of the registered image with any neutral frontal posed model in order to measure the accuracy of registration followed by recognition. In this 3D registration and recognition model, a 3D image is transformed from any different pose to frontal pose. After applying the algorithm on the Bosphorus databases, our proposed method registers the images with poses ranging from 0 to 20° with an average rotational error ranging between 0.003 to 0.009. For poses with an orientation of 40° to 45˚, the average rotational error was 0.003 to 0.009 and for poses with 90° the average rotational error was 0.004. Features are extracted from the registered images in the form of face normals. The experimental results which were obtained, on the registered facial images, from the 3D Bosphorus face database, illustrate that our registration scheme has attained a recognition accuracy of 93.33%.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Mian, A., Bennamoun, M., Owens, R.: Automatic 3D Detection, Normalization and Recognition. Clarendon, Oxford (1892)
Pan, G., Wu, Z., Pan, Y.: Automatic 3D Face Verification From Range Data. In: Proceedings of IEEE Conference on Acoustics, Speech, and Signal Processing, pp. 193–196 (2003)
Mian, A.S., Bennamoun, M., Owens, R.: An Efficient Multimodal 2D-3D Hybrid Approach to Automatic Face Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence 29(11), 1927–1943 (2007)
Anuar, L.H., Mashohor, S., Mokhtar, M., Adnan, W.A.W.: Nose Tip Region Detection in 3D Facial Model across Large Pose Variation and Facial Expression. International Journal of Computer Science Issues 7(4), 4 (2010)
Sangineto, E.: Pose and Expression Independent Facial Landmark Localization Using Dense-SURF and the Hausdorff Distance. IEEE Transactions on Pattern and Machine Intelligence 35(3), 624–638 (2013)
Russ, T.D., Koch, M.W., Little, C.Q.: A 2D Range Hausdorff Approach for 3D Face Recognition. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (2005)
Aspert, N., Cruz, D., Ebrahimi, T.: Mesh:measuring errors between surfaces using the hausdorff distance. In: IEEE Conference in Multimedia and Expo, pp. 705–708 (2002)
Radvar-Esfahlan, H., Tahan, S.: Nonrigid geometric metrology using generalized numerical inspection fixtures. Precision Engineering 36(1), 1–9 (2012)
Alyuz, N., Gokberk, B., Akarun, L.: Adaptive Registration for Registration Based 3D Registration. In: BeFIT 2012 Worksop (2012)
Liu, P., Wang, Y., Huang, D., Zhang, Z., Chen, L.: Learning the Spherical Harmonic Features for 3D Face Recognition. IEEE Transactions on Image Processing 22(3), 914–925 (2013)
Dubuisson, M.P., Jain, A.K.: A Modified Hausdorff Distance for Object Matching. In: International Conference on Pattern Recognition, pp. 566–568 (1994)
Alyuz, N., Gokberk, B., Akarun, L.: Adaptive Registration for Registration Based 3D Registration. In: BeFIT 2012 Worksop (2012)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Bagchi, P., Bhattacharjee, D., Nasipuri, M. (2014). 3D Face Recognitionacross Pose Extremities. In: Kumar Kundu, M., Mohapatra, D., Konar, A., Chakraborty, A. (eds) Advanced Computing, Networking and Informatics- Volume 1. Smart Innovation, Systems and Technologies, vol 27. Springer, Cham. https://doi.org/10.1007/978-3-319-07353-8_35
Download citation
DOI: https://doi.org/10.1007/978-3-319-07353-8_35
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07352-1
Online ISBN: 978-3-319-07353-8
eBook Packages: EngineeringEngineering (R0)