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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© 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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