Fourier Synthesis of Ocean Scenes
IEEE Computer Graphics and Applications
Fractals in nature: from characterization to simulation
The Science of Fractal Images
Proceedings of the 18th annual conference on Computer graphics and interactive techniques
Spot noise texture synthesis for data visualization
Proceedings of the 18th annual conference on Computer graphics and interactive techniques
Modeling and animating turbulent gaseous phenomena using spectral synthesis
The Visual Computer: International Journal of Computer Graphics
Imaging vector fields using line integral convolution
SIGGRAPH '93 Proceedings of the 20th annual conference on Computer graphics and interactive techniques
Texturing and Modeling: A Procedural Approach
Texturing and Modeling: A Procedural Approach
A simple fluid solver based on the FFT
Journal of Graphics Tools
IEEE Transactions on Visualization and Computer Graphics
IEEE Computer Graphics and Applications
A spectral-particle hybrid method for rendering falling snow
EGSR'04 Proceedings of the Fifteenth Eurographics conference on Rendering Techniques
Perceptual limits on 2D motion-field visualization
ACM Transactions on Applied Perception (TAP)
Texturing of Layered Surfaces for Optimal Viewing
IEEE Transactions on Visualization and Computer Graphics
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Layered motion fields arise in natural vision in many situations, including self-motion in a cluttered scene, motion of a fluid, and transparency. Layered motion fields have the property that there are multiple velocities present near each 2D spatial location. As such, standard 2D motion visualization methods do not apply, since they allow for only a single velocity vector at each image position. This paper examines perceptual issues that arise in visualizing layered motion fields. A key issue is that the human visual system is severely limited in how well it can process such fields. We give a thorough review of the relevant psychophysical literature, and focus on experiments that test how well the human visual system can detect spatial discontinuities and discrete layers in motion fields. We then present a specific layered motion visualization method. We demonstrate the limitations of the human visual system in perceiving the layered motions produced by this method.