ACM SIGGRAPH 2010 papers
Preserving detailed features in digital bas-relief making
Computer Aided Geometric Design
Proceedings of the International Symposium on Computational Aesthetics in Graphics, Visualization, and Imaging
Special Section on CANS: Irregular pit placement for dithering images by self-occlusion
Computers and Graphics
Computer Assisted Relief Generation—A Survey
Computer Graphics Forum
Real-time bas-relief generation from a 3D mesh
Graphical Models
Making bas-reliefs from photographs of human faces
Computer-Aided Design
Relief stylization from 3D models using featured lines
Proceedings of the 27th Spring Conference on Computer Graphics
Image contrast enhancement for preserving mean brightness without losing image features
Engineering Applications of Artificial Intelligence
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An algorithm is presented to automatically generate bas-reliefs based on adaptive histogram equalization (AHE), starting from an input height field. A mesh model may alternatively be provided, in which case a height field is first created via orthogonal or perspective projection. The height field is regularly gridded and treated as an image, enabling a modified AHE method to be used to generate a bas-relief with a user-chosen height range. We modify the original image-contrast-enhancement AHE method to use gradient weights also to enhance the shape features of the bas-relief. To effectively compress the height field, we limit the height-dependent scaling factors used to compute relative height variations in the output from height variations in the input; this prevents any height differences from having too great effect. Results of AHE over different neighborhood sizes are averaged to preserve information at different scales in the resulting bas-relief. Compared to previous approaches, the proposed algorithm is simple and yet largely preserves original shape features. Experiments show that our results are, in general, comparable to and in some cases better than the best previously published methods.