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Usage of Shape From Focus Method For 3D Shape Recovery And Identification of 3D Object Position
Joanna Magdalena Florczak, Maciej Petko
Pages - 116 - 124     |    Revised - 10-05-2014     |    Published - 01-06-2014
Published in International Journal of Image Processing (IJIP)
Volume - 8   Issue - 3    |    Publication Date - June 2014  Table of Contents
MORE INFORMATION
References   |   Cited By (2)   |   Abstracting & Indexing
KEYWORDS
Shape From Focus, Image Processing, 3D Shape Recovery.
ABSTRACT
Shape from focus is a method of 3D shape and depth estimation of an object from a sequence of pictures with changing focus settings. In this paper we propose a novel method of shape recovery, which was originally created for shape and position identification of glass pipette in medical hybrid robot. In proposed algorithm, Sum of Modified Laplacian is used as a focus operator. Each step of the algorithm is tested in order to pick the operators with the best results. Reconstruction allows not only to determine shape but also precisely define position of the object. The results of proposed method, performed on real objects, have shown the efficiency of this scheme.
CITED BY (2)  
1 PP, R. N., & Jabbar, S. (2015, March). Efficient 3D visual hull reconstruction based on marching cube algorithm. In Innovations in Information, Embedded and Communication Systems (ICIIECS), 2015 International Conference on (pp. 1-6). IEEE.
2 Ahmad, W., Usman, M., Le, D. N., Affandi, A. M., Dobaie, A. M., Kasim, N., & Al-Zahrani, N. A. (2014). Focus on Advances in Shape from Focus. Journal of Electronic Systems, 4(4), 107-114.
ABSTRACTING & INDEXING
1 Google Scholar 
2 CiteSeerX 
3 refSeek 
4 TechRepublic 
5 Scribd 
6 SlideShare 
7 PdfSR 
REFERENCES
F.S. Helmli and S. Scherer. “Adaptive Shape from Focus with an Error Estimation in Light Microscopy”. Image and Signal Processing and Analysis, 2001. ISPA 2001.Proceedings of the 2nd International Symposium on. IEEE, pp. 188-193, 2001.
J.M. Tenenbaum. “Accommodation in computer vision”. Stanford Univ Ca Dept of Computer Science, 1970.
M. Breuß, O. Vogel and A. Tankus. “ Modern shape from shading and beyond”.Image Processing (ICIP), 2011 18th IEEE International Conference on. IEEE, pp. 1-4,2011.
M. Marques and J. Costeira. “3D face recognition from multiple images: A shape-from-motion approach”, Automatic Face & Gesture Recognition, 2008. FG'08. 8th IEEE International Conference on. IEEE, pp. 1-6, 2008.
M. Tariq Mahmood and T.S. Choi “Shape from focus using kernel regression”. Image Processing (ICIP), 2009 16th IEEE International Conference on. IEEE, pp. 4293-4296,2009.
M.S. Muhammad and T.S. Choi “3D shape recovery by image focus using Lorentzian-Cauchy function”. Image Processing (ICIP), 2010 17th IEEE International Conference on. IEEE, pp. 4065-4068, 2010.
M.S. Muhammad and T.S. Choi “Sampling for Shape from Focus in Optical Microscopy”. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 34.3,pp. 564-573, 2012.
M.T. Mahmood and T.S. Choi. “Nonlinear Approach for Enhancement of Image Focus Volume in Shape From Focus”, 21.5, pp. 2866-2873, 2012.
N.N. Kachouie. “Anisotropic Diffusion for Medical Image Enhancement”. International Journal Of Image Processing (IJIP), 4.4, pp.436, 2008.
P. Kamencay, M. Breznan, R. Jarina and M. Zachariasova. “Estimation and Image Segmentation of a Sparse Disparity Map for 3D Reconstruction.”
R. Maini and H. Aggarwal. “Study and Comparison of Various Image Edge Detection Techniques”. International Journal of Image Processing (IJIP), 3.1, pp. 1-11, 2009.
R. Minhas , A. Adeel Mohammed and Q.M. Jonathan Wu. “Shape from focus using fast discrete curvelet transform”. Pattern Recognition, 44.4, pp. 839-853. 2011.
S.K. Nayar and Y.Nakagawa. “Shape from focus”, Pattern analysis and machine intelligence, IEEE Transactions on, 16.8, pp. 824-831,1994.
S.O. Shim and T.S. Choi. “A novel iterative shape from focus algorithm based on combinatorial optimization”. Pattern Recognition, 43.10, pp. 3338-3347, 2010.
MANUSCRIPT AUTHORS
Miss Joanna Magdalena Florczak
University of Science and Technology - Poland
florczak@agh.edu.pl
Dr. Maciej Petko
Faculty of Mechanical Engineering and Robotics Department of Robotics and Mechatronics AGH University of Science and Technology Cracow, 30-059 - Poland


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