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Acquisition of Symbolic Description from Flow Fields: A New Approach Based on a Fluid Model
January 1997 (vol. 19 no. 1)
pp. 58-63

Abstract—We propose a new model and new algorithm for acquiring symbolic description from a flow field. Our model is derived from physical data, and our algorithm is based on holomorphic complex function theory. Application of this method enables both qualitative and quantitative information to be obtained from a flow field. We also demonstrate the robustness of our method using a simulated flow field and a real image sequence.

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Index Terms:
Symbolic description, flow field, fluid model, Rankine's vortex, physics-based vision.
Citation:
Hiroki Nogawa, Yoshikazu Nakajima, Yoshinobu Sato, Shin'ichi Tamura, "Acquisition of Symbolic Description from Flow Fields: A New Approach Based on a Fluid Model," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 19, no. 1, pp. 58-63, Jan. 1997, doi:10.1109/34.566811
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