ACM Home Page
Please provide us with feedback. Feedback
Efficient shape recognition method using novel metric for complex polygonal shapes
Full text PdfPdf (88 KB)
Source ACM International Conference Proceeding Series; Vol. 324 archive
Proceedings of the 2nd international conference on Mobile multimedia communications table of contents
Alghero, Italy
SESSION: Automatic annotation and retrieval of multimedia content table of contents
Article No. 23  
Year of Publication: 2006
ISBN:1-59593-516-X
Authors
Vesna Zeljkovic  Delaware State University, Dover, DE
Robert B. Vincelette  Delaware State University, Dover, DE
Marko Savic  Belgrade University, Belgrade, Serbia
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 12,   Downloads (12 Months): 30,   Citation Count: 0
Additional Information:

abstract   references   index terms   collaborative colleagues  

Tools and Actions: Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1374296.1374321
What is a DOI?

ABSTRACT

We propose two new optimal and sub-optimal solution shape recognition algorithms using geometric calculations. Our algorithms are efficient and tolerate severe noise. They work for convex and concave polygons equally well. These algorithms are invariant under translation, rotation, change of scale and they are reasonably easy to compute.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
J. T. Schwartz and M. Sharir, "Some Remarks on Robot Vision", New York University, Courant Inst. Math. Sci., Tech. Rep. 119, Robotics Rep. 25, April 1984.
 
2
L. G. Shapiro and R. M. Haralick, "Organization of Relational Models for Scene Analysis", IEEE Transactions Pattern Anal. Machine Intelligence, vol. 4, no. 6, pp. 595--602, 1982.
 
3
J. O'Rourke and R. Washington, "Curve Similarity Via Signatures", Computational Geometry, G. Toussaint, Amsterdam, The Netherlands, pp. 295--318, 1985.
 
4
J. Hong and X. Tan, "The Similarity between Shapes under Affined Transformation", Proceedings of Second International Confrence for Computer Vision. Washington, DC: IEEE Computer Society Press, pp. 489--493, 1988.
 
5
P. Cox, H. Maitre, M. Minoux and C. Ribeiro, "Optimal Matching of Convex Polygons", Pattern Recognition Letters, vol. 9, pp. 327--334, 1989.
 
6
D. Avis and H. ElGindy, "A Combinatorial Approach to Polygon Similarity", IEEE Transactions on Information Theory, vol. 29, 1983.
7
 
8
 
9
H. Wolson, "On Curve Matching", Proceedings on IEEE Workshop Computer Vision, Miami Beach, Florida, 1987.
 
10
 
11
V. Zeljkovic, A. Dorado and E. Izquierdo, "Combining a Fuzzy Rule-Based Classifier and Illumination Invariance for Improved Building Detection", IEEE Transactions on Circuits and Systems for VideoTechnology, vol. 14, No. 11, November 2004, pp. 1277--1280.

Collaborative Colleagues:
Vesna Zeljkovic: colleagues
Robert B. Vincelette: colleagues
Marko Savic: colleagues