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.