Abstract
In this paper, we propose a new block matching algorithm that extracts motion vectors from consecutive range data. The proposed method defines a matching metric that integrates intensity, hue and range. Our algorithm begins matching with a small matching template. If the matching degree is not good enough, we slightly expand the size of a matching template and then repeat the matching process until our matching criterion is satisfied or the predetermined maximum size has been reached. As the iteration proceeds, we adaptively adjust weights of the matching metric by considering the importance of each feature.
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**g, X., Zhu, C., Chau, L.-P.: Smooth Constrained Motion Estimation for Video Coding. Signal Processing 83(3), 677–680 (2003)
Liu, B., Zaccarin, A.: New Fast Algorithms for the Estimation of Block Motion Vectors. IEEE Trans. on Circuits and Systems for Video Technology 3(2), 438–441 (1994)
Li, R., Zeng, B., et al.: A New Three-Step Search Algorithm for Block Motion Estimation. IEEE Trans. on Circuits and Systems for Video Technology 4(4), 438–441 (1994)
Po, L.-M., Ma, W.-C.: A Novel Four-Step Algorithm for Fast Block Motion Estimation. IEEE Transactions on Circuits and Systems for Video Technology 6(3), 313–317 (1996)
Tsap, L.V., Shin, M.C.: Improving Quality and Speed of Range Data for Communication. In: IEEE International Workshop on Cues in Communication, Kauai, Hawaii (2001)
Hoover, A., et al.: An Experimental Comparison of Range Image Segmentation Algorithm. IEEE Trans. on Pattern Analysis and Machine Intelligence 18(7), 673–689 (1996)
Jain, R., et al.: Machine Vision. McGraw-Hill, New York (1995)
Gong, J., Li, L., Chen, W.: Fast Recursive Algorithms for Two-Dimensional Thresholding. Pattern Recognition 31(3), 295–300 (1998)
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© 2003 Springer-Verlag Berlin Heidelberg
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Jang, SW., Pomplun, M., Shin, M.C. (2003). Block Matching Integrating Intensity, Hue, and Range. In: Michaelis, B., Krell, G. (eds) Pattern Recognition. DAGM 2003. Lecture Notes in Computer Science, vol 2781. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45243-0_57
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DOI: https://doi.org/10.1007/978-3-540-45243-0_57
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40861-1
Online ISBN: 978-3-540-45243-0
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