Abstract
The paper presents a comparison of a practical implementation of some area-based stereo algorithms. There are many stereo algorithms known that employ area based processing for matching of two or more images. However, much less information is available on practical implementations and applications of such methods, as well as their advantages and limitation. The work has been done to fill this gap and facilitate choice of the right stereo algorithm for machine vision applications, often using off-the-shelf cameras
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References
Banks, J., Porter, R., Bennamoun, M., Corke, P.: A Generic Implementation Framework for Stereo Matching Algorithms. Technical Report, CSIRO Manufacturing Science and Technology, Australia (1997)
Cyganek, B.: Neural Networks Application to The Correlation-Based Stereo-Images Matching. Engineering Applications of Neural Networks, Proceedings of the 5th International Conference EANN’ 99, Warsaw, Poland (1999)
Cyganek, B.: Stereo images matching by means of the tensor representation of a simple neighborhood. PhD Thesis, University of Mining and Metallurgy, Poland (2000)
Dunn, P., Corke, P.: Real-time Stereopsis using FPGAs. CSIRO Division of Manufacturing Technology, Australia (1997)
Faugeras, O.: Three-dimensional computer vision. A geometric viewpoint. MIT (1993)
Fua, P.: A Parallel Stereo Algorithm that Produces Dense Depth Maps and Preserves Image Features. INRIA Technical Report No 1369 (1991)
Konolige, K.: Small Vision Systems: Hardware and Implementation. Artificial Intelligence Center, SRI International (1999)
Scharstein, D.: View Synthesis Using Stereo Vision. Lecture Notes in Computer Science 1583. Springer-Verlag, Berlin Heidelberg New York (1999)
Szeliski, R., Zabih, R.: An Experimental Comparison of Stereo Algorithms. Vision Algorithms: Theory and Practice. Lecture Notes in Computer Science 1883. Springer-Verlag, Berlin Heidelberg New York (2000)
Trucco, E., Verri, A.: Introductory Techniques for 3-D Computer Vision. Prentice-Hall (1998)
Wei, G.-Q., Brauer, W., Hirzinger, G.: Intensity-and Gradient-Based Stereo Matching Using Hierarchical Gaussian Basis Functions. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 20, No. 11 (1998) 1143–1160
Woodfill, J., Von Herzen, B.: Real-Time Stereo Vision on the PARTS Reconfigurable Computer. IEEE Symposium on FPGAs for Custom Computing Machines (1997)
Zabih, R., Woodfill, J.: Non-parametric Local Transforms for Computing Visual Correspondence. Computer Science Department, Cornell University, Ithaca (1998)
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Cyganek, B., Borgosz, J. (2001). A Comparative Study of Performance and Implementation of Some Area-Based Stereo Algorithms. In: Skarbek, W. (eds) Computer Analysis of Images and Patterns. CAIP 2001. Lecture Notes in Computer Science, vol 2124. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44692-3_85
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DOI: https://doi.org/10.1007/3-540-44692-3_85
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