Browse > Article

High Performance Object Recognition with Application of the Size and Rotational Invariant Feature of the Fourier Descriptor to the 3D Information of Edges  

Wang, Shi (Div. of Electronic & Information Engineering, Chonbuk National University)
Chen, Hongxin (Div. of Electronic & Information Engineering, Chonbuk National University)
I, Jun-Ho (Div. of Electronic & Information Engineering, Chonbuk National University)
Lin, Haiping (Div. of Electronic & Information Engineering, Chonbuk National University)
Kim, Hyong-Suk (Div. of Electronic & Information Engineering, Chonbuk National University)
Kim, Jong-Man (Div. of Electronic & Information Engineering, Chonbuk National University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea CI / v.45, no.6, 2008 , pp. 170-178 More about this Journal
Abstract
A high performance object recognition algorithm using Fourier description of the 3D information of the objects is proposed. Object boundaries contain sufficient information for recognition in most of objects. However, it is not well utilized as the key solution of the object recognition since obtaining the accurate boundary information is not easy. Also, object boundaries vary highly depending on the size or orientation of object. The proposed object recognition algorithm is based on 1) the accurate object boundaries extracted from the 3D shape which is obtained by the laser scan device, and 2) reduction of the required database using the size and rotational invariant feature of the Fourier Descriptor. Such Fourier information is compared with the database and the recognition is done by selecting the best matching object. The experiments have been done on the rich database of MPEG 7 Part B.
Keywords
3-D restoration; Fourier Descriptor; Signature; MPEG 7 Part B;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 P.J. van Otterloo, A Contour-Oriented Approach to Shape Analysis, Prentice-Hall International Ltd, 1991
2 Hyongsuk Kim, Chun-Shin Lin, Chang-Bae Yoon, Hye-Jeong Lee, and Hongrak Son, "A Depth Measurement System with the Active Vision of the Striped Lighting and Rotating Mirror,"Lecture Note in Computer Sciences: Progress in Pattern Recognition, Image Analysis and Applications, vol. 3287, pp. 108-115, Oct. 2004.
3 E.R. Davies, Machine Vision : Theory, Algorithms, Practicalities, Academic Press, 1997
4 Atul Sajjanhar. A Technique for Similarity Retrieval of Shapes. Master thesis, Monash University, Australia, 1997
5 Chung-Lin Huang and Dai-Hwa Huang, "A Content-based image retrieval system," Image and Vision Computing, vol. 16, no. 3, pp. 149-163, 1998   DOI   ScienceOn
6 W. Niblack, R. Barber, W. Equitz, M. Flickner, E. Glasman, D. Petkovic, P. Yanker, C. Faloutsos, G. Taubin, The QBIC project: querying image by content using color, texture and shape, in: Proceedings of SPIE Storage and Retrieval for Image and Video Databases, vol. 1908, pp. 173-187, 1993
7 I. Kunttu, L. Lepisto, and A. Visa, Efficient Fourier shape descriptor for industrial defect images using wavelets, Optical Engineering, vol. 44, 2005
8 Hyongsuk Kim, Chun-Shin Lin, Jaehong Song, and Heesung Chae, "Distance Measurement Using a Single Camera with a Rotating Mirror," International Journal of Control, Automation, and Systems, vol. 3, no. 4, pp. 542-551, Dec. 2005   과학기술학회마을
9 Hannu Kauppinen, Tapio Seppanen and Matti Pietikainen, "An Experimental Comparison of Autoregressive and Fourier-Based Descriptors in 2D Shape Classification," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 17, no. 2, pp. 201-207, 1995   DOI   ScienceOn
10 Bin Wang and Chaojian Shi, "A Novel Fourier Descriptor for Shape Retrieval," Lecture Note in Computer Sciences: Fuzzy Systems and Knowledge Discovery, vol. 4223, pp. 822-825, Sep. 2006   DOI   ScienceOn
11 Q.M. Tieng and W.W. Boles, Recognition of 2D object contours using the wavelet transform zero-crossing representation, IEEE Transactions on PAMI 19, Aug. 1997
12 K. L. Kashyap and R. Chellappa, Stochastic models for closed boundary analysis: representation and reconstruction, IEEE Transactions on Information Theory 27, pp. 627-637, 1981   DOI
13 W.-Y. Kim and Y.-S. Kim, A region-based shape descriptor using Zernike moments, Signal Processing: Image Communication 16, pp. 95-102, 2000   DOI   ScienceOn
14 Kindratenko V.V, On Using Functions to Describe the Shape, Journal of Mathematical Imaging and Vision, Volume 18,Number 3, pp. 225-245(21), May 2003   DOI
15 Hee Soo Yang, Sang Uk Lee, and Kyoung MuLee, "Recognition of 2D Object Contours Using Starting-Point-Independent Wavelet Coefficient Matching," Journal of Visual Communication and Image Representation, vol. 9, no. 2 , pp. 171-181, Jun. 1998   DOI   ScienceOn
16 Eric Persoon and King-sun Fu, "Shape Discrimination Using Fourier Descriptors," IEEE Trans. on Systems, Man and Cybernetics, vol. Mar, pp. 170-179, 1977
17 Charles T. Zahn and Ralph Z. Roskies, "Fourier Descriptors for Plane closed Curves," IEEE Trans. on Computer, vol. 21, pp. 269-281, 1972   DOI   ScienceOn
18 B. Dorner, Hand Shape Identification and Tracking for Sign Language Interpretation, IJCAI Workshop on Looking at People, 1993
19 Quang Minh Tieng and W. W. Boles, "Recognition of 2D Object Contours Using the Wavelet Transform Zero-Crossing Representation," IEEE Trans. on PAMI 19(8), pp. 910-916, Aug. 1997   DOI   ScienceOn
20 C.T. Zahn and R.Z. Roskies, Fourier descriptors for plane closed curves, IEEE Transactions on Computer c-21, pp. 269-281, 1972   DOI   ScienceOn