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An Enhanced Image Warping Technique
Shakeel Doushant Imrith, Maleika Heenaye
Pages - 321 - 335     |    Revised - 01-07-2011     |    Published - 05-08-2011
Volume - 5   Issue - 3    |    Publication Date - July / August 2011  Table of Contents
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KEYWORDS
Image Representation, Image Capturing, Image Processing
ABSTRACT
Recently image morphing is becoming a forefront subject and is attracting the attention of researchers. The motivation underpinning in exploring mage morphing is that it is producing wonderful effects on photographs and in film industries. Various morphing algorithms are been devised to cater for the challenges posed by new image requirements. So far in literature, warping algorithm has been applied individually to produce pleasing effects. However, the amalgamation of several algorithms using appropriate proportions has been put aside. In this paper, analysis of the mixture of morphing techniques has been applied on images to produce caricatures where the contours are cautiously preserved. The aesthetic effects of this newly devised amalgam algorithm is desirable to produce outstanding effects on face images.
CITED BY (2)  
1 Flores, M., Lima, C., Thomé, A., Cruz, A., & Soares, A. (2015). Measuring Fluid Level through a Recalibrating-Free Hough Transform Methodology. Computer Science and Engineering, 5(3), 47-58.
2 Dascalu, C. G., & Zegan, G. (2012). Application of the Warping Methods in Dental Radiology Images Analysis. Applied Medical Informatics, 31(4), 42-50.
1 Google Scholar 
2 CiteSeerX 
3 refSeek 
4 Scribd 
5 SlideShare 
6 PdfSR 
1 Wolberg, G., Recent advances in image morphing, International presentation of Computer Graphics, June 1996, Pohang, Korea.
2 Mikkel B Stegmann, Image Warping Informatics and Mathematical Modelling, Technical University of Denmark, DTU, October 2001
3 Stoffels S., “Full mesh warping techniques”, Proceedings of the COST G-6 Conference on Digital Audio Effects (DAFX-00), Verona, Italy, December 7-9,2000.
4 Glasbey C.A., Mardia K.V., “A review of image warping methods”, Journal of Applied Statistics, 25, 155-171, 1998.
5 Gooch B., Reinhard E., Gooch A., “Human facial illustrations: Creation and psychophysical evaluation”, ACM Trans. Graph., 23(1), pp. 27–44, 2004.
6 Liang L., Chen H., Xu Y-Q, Shum H-Y, “Example-based Caricature Generation with Exaggeration”, IEEE Proceedings of the 10th Pacific Conference on Computer Graphics and Applications, 2002.
7 J.Shyh-Kang, “Audio Signal Processing-Quantization”, Department of Electrical Engineering/ Graduate Institute of Communication Engineering.
8 X. Bing, Y. Wei and C. Charoensak, “Face contour tracking in video using active contour model”, School of Electrical and Electronic Engineering, Nanyang Technological University, IEEE 2004.
9 Chiang P-Y, Liao W-H, Li T-Y, “Automatic Caricature Generation by Analyzing Facial Features”, 2004 Asian Conference on Computer Vision, Korea, Jan 27-30, 2004.
10 Chen H., Xu Y., Shum H., Zhu S., and Zheng N., “Example based facial sketch generation with non-parametric sampling”, ICCV01, pages II: 433–438, 2001.
11 Freeman W. T., Tenenbaum J. B., and Pasztor E., “An example-based approach to style translation for line drawings”, Technical Report 11, MERL Technical Report, Cambridge,MA, Feb 1999.
12 Nguyen K. H. L, Yong P. W., Golam A., “Shape Stylized Face Caricatures”, School of Computing, National University of Singapore.
13 Wen P., Wu, X., Huang W., Ren R., “An image warping method based on level set”, 2nd InternationalCongress on Image and Signal Processing, Pg. 1569-1573, 2010.
Mr. Shakeel Doushant Imrith
- Mauritius
Mr. Maleika Heenaye
- Mauritius
m.mamodekhan@uom.ac.mu