Abstract
Automatic face and landmarks detection on images is very important for face recognition. In this paper, we present an approach for detecting face and facial features such as eyes, nose and mouth in gray scale images. We make use of thresholding and connected component labelling algorithm to detect a face and extract features that characterize this face. This approach has the advantage that no manual interaction is required for choosing and extracting components. Experiments show promising results for face images having different orientation and facial expression.
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References
Heisele, B., Serre, T., Pontil, M., Poggio, T.: Component-based face detection. In: CVPR 2001, vol. I, pp. 657–662 (2001)
Viola, P., Jones, M.: Rapid object detection using boosted cascade of simple features. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2001), pp. 511–518 (2001)
Yang, M.-H., Kriegman, D.J., Ahuja, N.: Detecting faces in images: A survey. IEEE Transactions on Pattern Analysis and Machine Intelligence (1), 34–57 (2002)
Marius, D., Pennathur, S., Rose, K. Face detection using color thresholding and eigenimage template matching, http://www.stanford.edu/class/ee368/project_03/project/reports
Zhang, Q., Liu, Z.J.: Face detection based on complexional segmentation feature extraction. In: International Conference on Intelligent Information Hiding and Multimedia Signal Processing (2006)
Cootes, T.F., Edwards, G.J., Taylor, C.J.: Active appearance models. IEEE Transactions on Pattern Analysis and Machine Intelligence 23(6), 681–685 (2001)
Majumder, A., Behera, L., Subramanian, V.K.: Automatic and robust detection of facial features in frontal face images. In: UKSim 13th International Conference on Modeling and Simulation, pp. 331–336 (2011)
Chaudhari, S., Kale, A., Kinage, K.S., Bhirud, S.G.: Face feature detection and normalization based on eyeball center and recognition. In: 2nd International Conference on Future Computer and Communication, vol. 3, pp. 503–507 (2010)
Zhi-fang, L., Zhi-sheng, Y., Jain, A.K., Yun-Qiong, W.: Face detection and facial feature extraction in color image. In: 5th International Conference on Computational Intelligence and Multimedia Applications (2003)
Jemaa, Y.B., Khanfir, S.: Automatic local gabor features extraction for face recognition. International Journal of Computer Science and Information Security 3(1) (2009)
Segundo, M.P., Silva, L., Bellon, I.R.P.: Automatic face segmentation and facial landmark detection in range images. IEEE Transactions on Systems, Man, and Cybernetics-part B: Cybernetics 40(5) (2010)
Rakhmadi, A., Rahim, M.S.M., Bade, A., Haron, H., Amin, I.M.: Loop back connected component labelling algorithm and its implementation in detecting face. World Academy of Science, Engineering and Technology (64) (2010)
Huang, J., Blanz, V., Heisele, B.: Face Recognition using Component-Based SVM Classification and Morphable Models. In: Lee, S.-W., Verri, A. (eds.) SVM 2002. LNCS, vol. 2388, pp. 334–341. Springer, Heidelberg (2002)
Heisele, B., Ho, P., Wu, J., Poggio, T.: Face recognition: component-based versus global approaches. Computer Vision and Image Understanding 91(1-2), 6–21 (2003)
Fonou-Dombeu, J.V., Tapamo, J.R.: Validation of detected facial components for an accurate face recognition. In: 18th Annual Symposium of Pattern Recognition Association of South Africa (PRASA), pp. 141–146 (November 2007)
Ritter, G.X., Wilson, J.N.: Handbook of Computer Vision Algorithms in Image Algebra, 2nd edn. CRC Press (2001)
Yang, Y., Zhang, D.: A novel line scan clustering algorithm for identifying connected components in digital images. Image and Vision Computing 21(5), 459–472 (2003)
Stefano, L.D., Bulgarelli, A.: A simple and efficient connected component labelling algorithm. In: International Conference on Image Analysis and Processing, pp. 322–327 (1999)
AT&T: The orl database of faces, www.uk.research.att.com/facedatabase.html
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Momin, H., Tapamo, JR. (2011). Automatic Detection of Face and Facial Landmarks for Face Recognition. In: Kim, Th., Adeli, H., Ramos, C., Kang, BH. (eds) Signal Processing, Image Processing and Pattern Recognition. SIP 2011. Communications in Computer and Information Science, vol 260. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27183-0_26
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DOI: https://doi.org/10.1007/978-3-642-27183-0_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27182-3
Online ISBN: 978-3-642-27183-0
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