A Multi-Channel Salience Based Detail Exaggeration Technique for 3D Relief Surfaces

• Published in: Journal of computer science and technology Vol. 27; no. 6; pp. 1100 - 1109
• Main Author: 缪永伟 冯结青 王金荣 Renato Pajarola
• Format: Journal Article
• Language: English
• Published: Boston Springer US 01.11.2012; Springer Nature B.V; College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, China%State Key Lab of CAD & CG, Zhejiang University, Hangzhou 310027, China%Department of Informatics, University of Zürich, Zürich CH-8050, Switzerland
• Subjects: 3-D technology; Algorithms; Analysis; Artificial Intelligence; Computer Science; Computer simulation; Curvature; Data Structures and Information Theory; Feature maps; Geometry; Information Systems Applications (incl.Internet); Mapping; Mathematical analysis; Mathematical models; Regular Paper; Salience; Shading; Software Engineering; Studies; Theory of Computation; Three dimensional; Topological manifolds; Visual; Visual perception; 三维地形; 介孔结构; 复杂形状; 多通道; 建模技术; 表面技术; 表面法线; 高度分布; multi-channel salience; detail exaggeration; shape depiction; salience-domain shape modeling; relief surface
• ISSN: 1000-9000; 1860-4749
• DOI: 10.1007/s11390-012-1288-y

Visual saliency can always persuade the viewer＇s visual attention to fine-scale mesostructure of 3D complex shapes. Owing to the multi-channel salience measure and salience-domain shape modeling technique, a novel visual saliency based shape depiction scheme is presented to exaggerate salient geometric details of the underlying relief surface. Our multi-channel salience measure is calculated by combining three feature maps, i.e., the 0-order feature map of local height distribution, the l-order feature map of normal difference, and the 2-order feature map of mean curvature variation. The original relief surface is firstly manipulated by a salience-domain enhancement function, and the detail exaggeration surface can then be obtained by adjusting the surface normals of the original surface as the corresponding final normals of the manipulated surface. The advantage of our detail exaggeration technique is that it can adaptively alter the shading of the original shape to reveal visually salient features whilst keeping the desired appearance unimpaired. The experimental results demonstrate that our non-photorealistic shading scheme can enhance the surface mesostructure effectively and thus improving the shape depiction of the relief surfaces.