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Bas-Relief Generation Using Adaptive Histogram Equalisation

Authors: Xianfang Sun, Paul L. Rosin, Ralph R. Martin, and Frank C. Langbein, Member, IEEE

Journal: IEEE Trans. Visualization and Computer Graphics 15 (4), 642-653, 2009

Abstract:

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.

Link to Paper

Authors

Dr Xianfang Sun

Dr Xianfang Sun

Graphics, image processing, computer vision, and pattern recognition. Seek to apply advanced control theory and methodology in visual computing.

Prof. Paul Rosin

Prof. Paul Rosin

Various aspects of computer vision, including 2D and 3D facial analysis and synthesis.

Prof. Ralph Martin

Prof. Ralph Martin

Polygon mesh processing including registration, noise removal, segmentation and surface fitting.