SpringerImages - Random noise flowfield (left) and Curl-noise (right). Line-integral convolution is used to visualize the direction of flow, while the color-coding illustrates velocities

Random noise flowfield (left) and Curl-noise (right). Line-integral convolution is used to visualize the direction of flow, while the color-coding illustrates velocities

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Fig 3

Random noise flowfield (left) and Curl-noise (right). Line-integral convolution is used to visualize the direction of flow, while the color-coding illustrates velocities

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Both sources/sinks and rotational components may be expected to cause problems with the optical flow estimation, so to analyze the impact of both phenomena we created two types of datasets, illustrated in Fig. 3 using Line Integral Convolution images (Cabral and Leedom 1993 ).

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