THREE DIMENSIONAL PERSON VISAGE TERMINOLOGY WITH VIGOR AND PARTICLE SKIN

SEEE DIGIBOOK ON ENGINEERING & TECHNOLOGY, VOL. 01 (2), JUN 2020 PP. (798-804)
Abstract– The system is designed to determine the visage expressions such as vigor and grain skin and to apply feature extraction methods for feeling recognition. Other facial expressions that can be determined by the system include feeling. All of the three-dimensional input images are flattened and then converted into vigor and grain images so that they can be represented in a two-dimensional structure similar to an image. This makes image manipulation much simpler. The texture features make it possible to retrieve the color components from a texture’s coordinates, such as RGB components, which, in turn, makes it possible to generate texture images for a three-dimensional image. The Viola Jones technique was used to determine which areas of the texture images correspond to facial features. Eye, nose, and mouth are the distinct regions of interest in this investigation. They are referred to as salient facial patches, and their location is determined by the position of facial landmarks. The coarse region of interest is extracted in order to reduce the time complexity associated with finding the entire region of interest as well as the false detection rate. Below the eyes, in the space between the brows, around the nose, and in the corners of the mouth are where the active facial patches are located. The Local Binary Pattern (LBP) algorithm is what’s used to do the feature extraction. Principal Component Analysis, also known as PCA, is a technique for selecting features that is used to select the pertinent features from the vigor and range images before classifying them using the Multi class Support Vector Machine (SVM) algorithm.
Index Terms – vigor images, grain skin, 3D visage expression, RGB, LBP, and SVM are some of the keywords that can be found here.
REFERENCE

Knowlton, T.W., 2018. Flame, icons and healing: a colonial Maya ontology. Colonial Latin American Review, 27(3), pp.392-412.
Davidson, M., 2019. Invalid Modernism: Disability and the Missing Body of the Aesthetic. Oxford University Press.
Rice, P.M., 2019. Anthropomorphizing the cosmos: Middle Preclassic Lowland Maya figurines, ritual, and time. University Press of Colorado.
Swift, J., 2018. A modest proposal and other stories. GENERAL PRESS.
Saunders, J., 2018. American classics: Evolutionary perspectives. Academic Studies Press.
Normandin, S., 2018. Chaucerian Ecopoetics: Deconstructing Anthropocentrism in the Canterbury Tales. Springer.
Hyman, W.B., 2019. Impossible Desire and the Limits of Knowledge in Renaissance Poetry. Oxford University Press.
Sebastiani, S., 2019. A ‘monster with human visage’: The orangutan, savagery, and the borders of humanity in the global Enlightenment. History of the Human Sciences, 32(4), pp.80-99.
Heravi, F.M.Z., 2019. Three-dimension facial de-ageing and ageing Modeling: extrinsic factors impact (Doctoral dissertation, Université Paris-Est).
Montandon, D., 2019. Faces, the frontiers of normality. Journal of Craniofacial Surgery, 30(6), pp.1621-1625.
Singh, S. and Prasad, S.V.A.V., 2018. Techniques and challenges of face recognition: A critical review. Procedia computer science, 143, pp.536-543.
QIAN, Y. and Kim, H.G., 2018. New Media Studies Related to Portrait Creation with Three Faces Kingdom as the Research Subject. TECHART: Journal of Arts and Imaging Science, 5(2), pp.28-32.
Zhou, S. and Xiao, S., 2018. 3D face recognition: a survey. Human-centric Computing and Information Sciences, 8(1), pp.1-27.
Rapcsak, S.Z., 2019. Face recognition. Current neurology and neuroscience reports, 19(7), pp.1-9.
Xie, W. and Zisserman, A., 2018. Multicolumn networks for face recognition. arXiv preprint arXiv:1807.09192.
Lal, M., Kumar, K., Arain, R.H., Maitlo, A., Ruk, S.A. and Shaikh, H., 2018. Study of face recognition techniques: a survey. International Journal of Advanced Computer Science and Applications, 9(6), pp.42-49.

V. Sreenivasalu Manda, M Shalini, Toryalai, K Saranya
Department of Information Technology,
Rathinam Technical Campus,
Coimbatore, India

Leave a Comment

Your email address will not be published. Required fields are marked *

Scroll to Top