Home   >   CSC-OpenAccess Library   >    Manuscript Information
2D Shape Reconstruction Based on Combined Skeleton-Boundary Features
j.komala lakshmi, M. Punithavalli
Pages - 293 - 306     |    Revised - 30-08-2010     |    Published - 30-10-2010
Volume - 4   Issue - 4    |    Publication Date - October 2010  Table of Contents
MORE INFORMATION
KEYWORDS
: Protrusion,, Symmetry-curvature duality, Bamboo boundary, merging point
ABSTRACT
Reconstructing a shape into meaningful representation plays a strong role in shape-related applications. It is motivated by recent studies in visual human perception discussing the importance of certain shape boundary features as well as features of the shape area; it utilizes certain properties of the shape skeleton based on symmetry axes combined with boundary features based on curvature to determine protrusion strength. The main contribution of this paper is the combination of skeleton and boundary information by deploying the symmetry –curvature duality method to simulate human perception based on results of research in visual perception. The experiments directly compare our algorithm with experiments on human subjects. They show that the proposed approach meets the human perceptual intuition. In comparison to existing methods, our method gives a perceptually more reasonable and stable result. Furthermore, the noisy shape reconstruction demonstrates the robustness of our method, experiments of different data sets prove the invariant representation of the combined skeleton-boundary approach.
1 Google Scholar 
2 Academic Index 
3 CiteSeerX 
4 refSeek 
5 iSEEK 
6 Socol@r  
7 Scribd 
8 SlideShare 
9 PDFCAST 
10 PdfSR 
A. Peter and A. Rangarajan. “Shape matching using the Fisher-Rao Riemannian metric: Unifying shape representation and deformation”. IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 1164–1167, 2006
Aslan, C.; Erdem, A.; Erdem, E.; Tari, S.; Microsoft Corp., Redmond, WA “Disconnected Skeleton: Shape at Its Absolute Scale,pattern analysis and machine intelligence”. Ieee transaction on, IEEE computer society, 30(12): 2008
Bai, X., Latecki, L. “Path similarity skeleton graph matching”. IEEE Transactions on Pattern Analysis and Machine Intelligence 30 (2008)
Bai, X., Latecki, L.J., Liu, W. “Skeleton pruning by contour partitioning with discrete curve evolution”. IEEE Transactions on Pattern Analysis and Machine Intelligence, 29: 449– 462, 2007
Bai, X., Latecki, L.J.. “Discrete skeleton evolution”. 6th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition,2007
Cohen, E.H., Singh, M. “ Geometric determinants of shape segmentation: Tests using segment identification”. Vision Research 47: 2825–2840, 2007
D. Geiger, T. L. Liu, R. V. Kohn. “Representation and self-similarity of shapes”. IEEE Trans. Pattern Anal. Mach.Intell., 25(1):86–99, 2003
D. Geiger, T. L. Liu, R. V. Kohn. “Representation and self-similarity of shapes”. IEEE Trans. Pattern Anal. Mach.Intell.,25(1):86–99, 2003
F. L. Bookstein. “Morphometric Tools for Landmark Data–Geometry and Biology”. Cambridge Univ. Press, 1991
H. Blum. “A transformation for extracting new descriptors of shape, in Models for the Perception of Speech and Visual Form (W.Wathen-Dunn, ed.)”, Cambridge MA: MIT Press, pp. 362-380, (1967)
H. Blum. “Biological shape and visual science”. Journal of Theoretical Biology, 38:205–287, 1973
H. Chui, A. Rangarajan. “A new point matching algorithm for non-rigid registration”. CVIU, 89(2-3):114–141, 2003
H. Chui, A. Rangarajan. “A new point matching algorithm for non-rigid registration”. CVIU, 89(2-3):114–141, 2003.
J. Glaunes, A. Trouve, and L. Younes. “Diffeomorphic matching of distributions: A new approach for unlabelled point-sets and sub-manifolds matching”. In CVPR, pp. 712–718, 2004
J. K. Lakshmi and M. P. Valli. “A Survey on skeletonization in digital image processing”. International conference proceedings of Managing Next Generations Software Applications08,Sponsored by CSIR, New Delhi, 2008
J. K. Lakshmi and M. P. Valli. “A Survey on skeletons in digital image processing” . International conference proceedings of IEEE computer Society,2009
J. komalalakshmi, Dr .M. Punithavalli. “Discrete Skelton Reconstruction using bamboo skeleton communicated to the IEEE Transaction on Image processing”.
J. Komalalakshmi1, Dr. M. Punithavalli. “Impact of Boundary Points in Skeleton Based Images”. International journal of advanced engineering and applications,(IJAEA)Italy, 2010
J. Shah. “An H2 type Riemannian metric on the space of planar curves”. Workshop on the Mathematical Foundations of Computational Anatomy (in conjunction with MICCAI’06), 2006
J. Zeng, R. Lakaemper, X. Yang, Xin Li, Temple University, Philadelphia, PA. 2D “Shape Decomposition Based on Combined Skeleton-Boundary Features”, Lecture Notes in Computer Science.
J.k. lakshmi, Dr .M.Punithavalli. “Computation of merging points in skeleton based digital images”.GJCST, global journal of computer science and technology, 9(5):164-171, 2009.
J.W. Bruce, P.J. Giblin, C.G. Gibson. “Symmetry sets”. Proc. R. Soc. Edinb. Sect. A-Math, 101:163–186, 1985
K. Leonard. “Classification of 2D shapes via efficiency measures”. Unpublished work, 2006.
K. Siddiqi, A. Shokoufandeh, S. J. Dickinson, S. W. Zucker. “Shock graphs and shape matching”. Int. J. Comput.Vision, 35(1):13–32, 1999
M. Brady, H. Asada. “Smoothed local symmetries and their implementation”. The International Journal of Robotics Research, 3(3):36–61, 1984
M. Brady, H. Asada. “Smoothed local symmetries and their implementation”. The International Journal of Robotics Research, 3(3):36–61, 1984
M. C. Burl and P. Perona. “Recognition of planar object classes”. In CVPR, pp. 223–230, 1996
M. Leyton. “A process-grammar for shape”. Artificial Intelligence, 34(2):213–247, 1988
Michael Leyton. “Symmetry-Curvature Duality, computer vision ,graphics and image processing”. 38:327-341, 1987.
S. Belongie, J. Malik, J. Puzicha. “Shape matching and object recognition using shape contexts”. IEEE Trans. PatternAnal. Mach. Intell., 24(4):509–522, 2002
Siddiqi, K., Kimia, B.B. ”Parts of visual form: Computational aspects”. IEEE Transactions on Pattern Analysis and Machine Intelligence, 17: 239–251, 1995
T. B. Sebastian, P. N. Klein, B. B. Kimia. “Recognition of shapes by editing their shock graphs”. IEEE Trans. Pattern Anal. Mach. Intell., 26(5):550–571, 2004
V. Camion and L. Younes. “Geodesic interpolating splines”. In EMMCVPR, pp. 513–527, 2001
W. Mio, A. Srivastava, and S. Joshi. “On shape of plane elastic curves”. Submitted to IJCV.
Mr. j.komala lakshmi
SNRSONS COLLEGE,coimbatore-6 - India
ashwwathraju@yahoo.com
Dr. M. Punithavalli
- India


CREATE AUTHOR ACCOUNT
 
LAUNCH YOUR SPECIAL ISSUE
View all special issues >>
 
PUBLICATION VIDEOS