Owing to the perceptual-saliency measure and saliency-domain shape modeling techniques
a novel shape manipulation scheme is presented to adjust the visually salient features of 3D models. The perceptual-saliency measure for 3D models is introduced
which is defined by a center-surround bilateral filter operator on Gaussian-weighted averages of local projection heights between mesh vertices and their neighbors. The geometric features of the underlying shapes can then be filtered by low-pass filters
high-pass filters
and other enhancements due to the user specified shape manipulation functions defined on the saliency-domain
that is
the low-pass shape manipulation
the high-pass shape manipulation and the enhancement shape manipulation. The experimental results show that it is easy and efficient to achieve different shape modeling results with our proposed technique.