Motion Field and Optical Flow: Qualitative Properties
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computerized Flow Field Analysis: Oriented Texture Fields
IEEE Transactions on Pattern Analysis and Machine Intelligence
Direct estimation and error analysis for oriented patterns
CVGIP: Image Understanding
Representing and visualizing fluid flow images and velocimetry data by nonlinear dynamical systems
Graphical Models and Image Processing
Acquisition of Symbolic Description from Flow Fields: A New Approach Based on a Fluid Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
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It proposes a non-correlation, conceptually new, fast and efficient approach for DPIV, which takes the nature of flow into consideration. An incompressible affined flow model (IAFM) is introduced to describe a flow that incorporates constraints on the computation. This IAFM, combined with a modified optical flow method-named total optical flow computation (TOFC), provides a linear system solution to DPIV. Experiments on real images showed our method to be a very promising approach for DPIV.