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By Patricia E. Blosser

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In: Proceedings of International Conference on Image Processing, vol. 3, pp. 483–486 (1996) 6. : A fully automatic approach to facial feature detection and tracking. In: Proceedings of First International Conference on Audio and Video based Biometric Person Authentication (AVBPA), pp. 77–84 (1997) 7. : Eye feature extraction using K-means clustering for low illumination and iris color variety. In: 11th International Conference on Control Automation Robotics and Vision (ICARCV), pp. 633–637 (2010) 8.

Stegierski et al. We could put here the question is there any cause to reconstruct victims face if result is such a big part tentative and subjective. In forensic investigation methods based of craniofacial reconstruction of victim are used only as a support or in case when all other ways to solve the case failed. On the other hand, more interesting for us in this case, is reconstruction made for needs of archeology or anthropopaleology. Here simple human curiosity is proximate cause of activity.

On Pattern Analysis and Machine Intelligence 13(9), 891–906 (1991) 4. : Design of steerable filters for feature detection using Canny-like criteria. IEEE Trans. on Pattern Analysis and Machine Intelligence 26(8), 1007–1019 (2004) 5. : Applications of the Radon Transform. Wiley Interscience Publications, New York (1983) 6. : Technical symbols recognition using the two dimensional Radon transform. In: Proceedings of the 16th ICPR, Montreal, vol. 3, pp. 200–203 (2002) 7. : Hand Gesture Recognition using Gabor and Radon Transform with Invariant Moment Features.

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