Lapo Governi, Rocco Furferi, Matteo Palai, Yary Volpe, “3D geometry reconstruction from orthographic views: A method based on 3D image processing and data fitting”Computers in Industry, Volume 64, Issue 9, December 2013, Pages 1290-1300, ISSN 0166-3615,
 Passarella, Rossi, Astri Agustina, Sutarno Sutarno, Kemahyanto Exaudi, and Junkani Junkani. "Design Concept of State-Chart Method Application through Robot Motion Equipped With Webcam Features as E-Learning Media for Children." (2013): 115-120.
 Shipp, John I. "LED illumination system for endoscopic cameras." U.S. Patent No. 6,449,006. 10 Sep. 2002.
 Otsu, Nobuyuki. "A threshold selection method from gray-level histograms." Automatica 11.285-296 (1975): 23-27.
 Rianmora, Suchada, and Pisut Koomsap. "Recommended slicing positions for adaptive direct slicing by image processing technique." The International Journal of Advanced Manufacturing Technology 46.9-12 (2010): 1021-1033.
 RAMIREZ, Carlos Alejo, PEREZ, Manuel David. Face detection and analysis of facial expressions.
 LECUMBERRY, R., Federico. Calculation of disparity and segmentation of objects in video sequences. Master's thesis in electrical engineering. University of the Republic Montevideo, Uruguay. August 3, 2005
 LI, Yadong, GOSHTASBY, Ardeshir y GARCIA, Oscar. Detecting and tracking human faces in videos. Wright State University, 2000.
 FERIS, Rogerio, EMIDIO DE CAMPOS, Teofilo y MARCONDES, Cesar. Detection and tracking of facial features in video sequences. Lecture Notes in Artificial Intelligence, Vol. 1793, pp. 197-206, 2000.
 HABILI, Nariman. Automatic segmentation of the face and hands in sign language video sequences. Technical report, Adelaide University, Australia, 2001.
 ROWLEY, Henry, BALUJA, Shumeet, and KANADE, Takeo. Neural network-based face detection. IEEE, 1998.
 VIOLA, Paul y JONES, Michael. Robust Real-Time Face Detection. International Journal of Computer Vision, Vol.57, No.2, pp 137-154, 2004.
 CASTRILLON, M., DENIZ, O., GUERRA, C., and HERNÁNDEZ, M. "ENCARA2: Real-time detection of multiple faces at different resolutions in video streams". ELSEVIER, Journal Visual Communication and Image Representation. Article in press (2007).
 BARTLETT, Marian Stewart et al. Real-time face detection and facial expression recognition: development and applications to human-computer interaction. University of California, USA, 2004.
 SILAPACHOTE, P, KARUPPIAH, D y HANSON, A. Feature selecting using AdaBoost for face expression recognition. University of Massachusetts Amherst, USA.
 BELAROUSSI, Rachid and MILGRAM, Maurice. Face detecting and skin color based tracking: a comparative study. University Pierre an Maire Curie. Paris, Francia, 2007.
 IEEE Standar Glossary for Image Processing and Pattern recognition Terminology. Published by the Institute of Electrical and Electronics Engineers, New York, USA, 1990.
 SCHAPIRE, R and FREUND, Y. A decision theoretic generalization of online learning and application to boosting. AT&T Bell Laboratories. USA, 1995.
 PAPAGEORGIOU,C., OREN,M. and POGGIO,T. A general framework for object detection. Proceedings of International Conference on Computer Vision, Enero de 1998, Bombay, India.
- Abstract viewed - 378 times
- PDF downloaded - 475 times
© Computer Engineering and Applications Journal, 2018
Alhamzawi Hussein Ali Mezher
University of Debrecen
Faces and eyes Detection in Digital Images Using Cascade Classifiers
Vol 7 No 1 (2018)
Submitted: Sep 19, 2017
Published: Feb 10, 2018