On describing complex surface shapes
Image and Vision Computing
Computer rendering of stochastic models
Communications of the ACM
IEEE Transactions on Pattern Analysis and Machine Intelligence
3-D Shape from a Shaded and Textural Surface Image
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the Calculation of Fractal Features from Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Effect of Illuminant Rotation on Texture Filters: Lissajous's Ellipses
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Bidirectional Texture Contrast Function
International Journal of Computer Vision - Special Issue on Texture Analysis and Synthesis
Classifying Surface Texture while Simultaneously Estimating Illumination Direction
International Journal of Computer Vision - Special Issue on Texture Analysis and Synthesis
Journal of Mathematical Imaging and Vision
Terrain classification based on 3D co-occurrence features
ICIC'07 Proceedings of the intelligent computing 3rd international conference on Advanced intelligent computing theories and applications
Characterization of second-order isotropic fractional brownian fields
IEEE Transactions on Signal Processing
Two-channel nonseparable wavelets statistically matched to 2-D images
Signal Processing
A novel method for solving the shape from shading (SFS) problem
ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part II
Bark classification based on textural features using artificial neural networks
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
Application of 3d co-occurrence features to terrain classification
PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology
Gabor wavelets combined with volumetric fractal dimension applied to texture analysis
Pattern Recognition Letters
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An analysis is presented of the imaging of surfaces modeled by fractal Brownian elevation functions of the sort used in computer graphics. It is shown that, if Lambertian reflectance modest surface slopes and the absence of occlusions and self shadowing are assumed, a fractal surface with Fourier power spectrum proportional to f/sup beta / produces an image with power spectrum proportional to f/sup 2- beta /; here, f is the spatial frequency and beta is related to the fractional dimension value. This allows one to use the spectral falloff of the images to predict the fractal dimension of the surface.