V'it Z'yka
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Abstract:
This report describes our approach to the localization of the position of nostrils and chin. Basic demand is a good functionality on pictures of face without special make-up. The input picture contains face, hair and shoulders of observed person. We don't use any special lighting conditions for capturing the input images, therefore our program is useful in many common cases. Mentioned algorithm will be used in the initial steps of very complex process of Automated Recognition of Facial Expressions (ARFE). Good start is a basic condition for success of ARFE, then algorithm have to be steady. Nostrils are used for face coordinate system generating and chin makes lower limit of the face area. In the first section of our report we introduce the basic problems of ARFE and we describe main purpose of our work. The second section deals with detail input and output specifications and restrictions. In third part we explain different approaches of solution with their difficulties. Next section is devoted implementation of our algorithm with detail description of particular steps. In the final parts of this paper we introduce realized experiments and think about usage and improvement of our program. 1
Citations
| 1077 | Numerical Recipes: The Art of Scientific Computing – Press, Flannery, et al. - 1986 |
| 46 | Handbook of Computer Vision Algorithms in Image Algebra – Ritter, Wilson - 1996 |
| 43 | Graphics Gems – Glassner - 1990 |
| 10 | Model Adaptation for Image Coding – Reinders - 1995 |
| 3 | M.: Poc'itacov'e viden'i – Hlav'ac, Sonka - 1992 |
| 3 | Computational Geometry in C. Cambridge University Press – O'Rourke - 1994 |
| 3 | Image Analysis and Mathematical Morfology – Serra - 1982 |
| 1 | den Boomgoard. Mathematical Morphology Extensions towards Computer Vision – van |
| 1 | Computer Graphics; algorithms and principles – Dam, Foley - 1995 |
| 1 | Mouth segmentation using active contours. Report about project of student exchange stay – Juran, Krsek - 1996 |
| 1 | Automatic tracing of facial features in the scope of automatic analysing of facial expressions. The comment of [5 – Pantic - 1996 |
