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Paper Count: 31229
A New Color Image Database for Benchmarking of Automatic Face Detection and Human Skin Segmentation Techniques
Abstract:This paper presents a new color face image database for benchmarking of automatic face detection algorithms and human skin segmentation techniques. It is named the VT-AAST image database, and is divided into four parts. Part one is a set of 286 color photographs that include a total of 1027 faces in the original format given by our digital cameras, offering a wide range of difference in orientation, pose, environment, illumination, facial expression and race. Part two contains the same set in a different file format. The third part is a set of corresponding image files that contain human colored skin regions resulting from a manual segmentation procedure. The fourth part of the database has the same regions converted into grayscale. The database is available on-line for noncommercial use. In this paper, descriptions of the database development, organization, format as well as information needed for benchmarking of algorithms are depicted in detail.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1070529Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2247
 M. H. Yang, and D. J. Kriegman, "Detecting Faces in Images: A Survey", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 24, No. 1, Jan. 2002, pp. 34 - 58.
 E. Hjelm├Ñs, and B. K. Low, "Face Detection: A Survey", Computer Vision and Image Understanding, Vol. 83, No. 3, Sept. 2001, pp. 236- 274.
 H. Rowley, S. Baluja, and T. Kanade, "Neural Network-Based Face Detection", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 20, No. 1, Jan. 1998, pp. 23-38.
 H. Rowley, S. Baluja, and T. Kanade, "Rotation Invariant Neural Network-Based Face Detection", Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 1998, pp. 38-44.
 H. Schneiderman, and T. Kanade, "A Statistical Method for 3D Object Detection Applied to Faces and Cars", Proc. IEEE Conference on Computer Vision and Pattern Recognition, Vol. 1, 2000, pp. 746-751.
 H. Kruppa, M. A. Bauer, and B. Schiele, "Skin Patch Detection in Real- World Images", Proc of the DAGM-Symposium, 2002, pp. 109-116.
 P. Viola and M. Jones., "Robust real-time face detection", International Journal of Computer Vision (IJCV) 57(2), 2004, pp. 137-154.
 T. Theocharides, G. Link, N. Vijaykrishnan, M. J. Irwin, and W. Wolf, "Embedded Hardware Face Detection", Proc. 17th International Conference on VLSI Design, Jan. 2004, p.133.
 A. C. Loui, C. N. Judice, and S. Liu, "An Image Database for Benchmarking of Automatic Face Detection and Recognition Algorithms", Proc. IEEE Conference on Image Processing, Vol. 1, 1998, pp.146-150.
 P. Sharma, and R.B. Reilly, "A Color Face Image Database for Benchmarking of Automatic Facial Detection Algorithms", Proc. 4th European Conference of Video/Image Processing and Multimedia Communications, July 2003, pp, 423 - 428.
 P. J. Phillips, P. Rauss, and S. Der, "FERET (Face Recognition Technology) Recognition Algorithm Development and Test Report", Technical Report ARL-TR 995, U.S. Army Research Laboratory, October 1996.
 K-K. Sung, and T. Poggio, "Example-Based Learning for View-based Human Face Detection", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 20, No. 1, Jan. 1998, pp. 39-51.
 A. Martinez, and R. Benavente, "The AR Face Database," Technical Report CVC 24, Purdue Univ., 1998.
 R-L. Hsu, and M. Abdel-Mottaleb, "Face Detection in Colour Images", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 24, No. 5, May 2002, pp. 696 - 706.
 C. Garcia, and G. Tziritas, "Face Detection Using Quantized Skin Colour Regions Merging and Wavelet Packet Analysis", IEEE Transactions on Multimedia, Vol. 1, No. 3, September 1999, pp. 264 - 277.
 C. Lin, "Face Detection by Colour and Multilayer Feedforward Neural Network", Proc. IEEE International Conference on Information Acquisition, June-July 2005, pp. 518-523.
 K. Sandeep and A.N. Rajagopalan,"Human Face Detection in Cluttered Color Images using Skin Color and Edge Information", Proc. Indian Conference on Computer Vision, Graphics and Image Processing, Dec. 2002.
 U.S. Census Bureau, 2000 Census of Population, Public Law 94-171 http://factfinder.census.gov/.
 Y. Wei, X. Bing, and C. Chareonsak, "FPGA Implementation of ADABOOST Algorithm for Detection of Face Biometrics", Proc. IEEE International Workshop on Biomedical Circuits and Systems, Dec. 2004, pp. S1/6.17-20.
 E. Osuna, R. Freund, and F. Girosit, "Training Support Vector Machines: An Application to Face Detection", Proc. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June 1997, pp. 130-136.
 Yongmen Li, S. Gong, and H. Liddell, "Support Vector Regression and Classification-based Multi-view Face Detection and Recognition", Proc. 4th IEEE International Conference on Automatic Face and Gesture Recognition, March 2000, pp. 300-305.
 Adobe Photoshop CS2, http://www.adobe.com/products/photoshop/.
 O. Bernier, M. Collobert, R. Feraud, V. Lemaire, J. E. Viallet, and D. Collobert, "MULTRAK: A System for Automatic Multiperson Localization and Tracking in Real-time", Proc. International Conference on Image Processing, ICIP 98. Vol. 1, Oct. 1998, pp. 136-140.
 S.Z. Li and Z. Zhang, "FloatBoost Learning and Statistical Face Detection", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 26, Issue 9, Sept. 2004, pp. 1112-1123.
 S.Z. Li, L. Zhu, Z. Zhang, and H.-J. Zhang, "Learning to Detect Multiview Faces in Real-time", Proc. 2nd International Conference on Development and Learning, June 2002, pp. 172-177.
 Microsoft Office Excel, http://office.microsoft.com/enus/ excel/default.aspx.
 Microsoft Office Access, http://office.microsoft.com/enus/ access/default.aspx.
 Matlab Online, http://www.mathworks.com/products/matlab/.
 T. Theocharides, N. Vijaykrishnan, and M. J. Irwin, "A Parallel Architecture for Hardware Face Detection", Proc. IEEE Computer Society Annual Symposium on Emerging VLSI Technologies and Architectures, March 2006.
 Computer Vision laboratory, Faculty of Computer and Information Science, University of Ljubljana, Slovenia, http://www.lrv.fri.unilj. si/facedb.html.