论文信息 - Discrete Surface Models: Constraint-based Generation and Understanding

Discrete Surface Models: Constraint-based Generation and Understanding

A two level description is proposed for natural surface modelling: a geometric model, in terms of low level primitive entities, and a conceptual model, which is a symbolic surface representation based on its prominent shape characteristics. The geometric and conceptual level can exchange information using two operators: the abstraction operator and the generation operator.

[1] Bianca Falcidieno,et al. Natural surface approximation by constrained stochastic interpolation , 1990, Comput. Aided Des..

[2] Heinz-Otto Peitgen,et al. The science of fractal images , 2011 .

[3] Michela Spagnuolo,et al. A new method for the characterization of topographic surfaces , 1991, Int. J. Geogr. Inf. Sci..

[4] Leila De Floriani,et al. Delaunay-based representation of surfaces defined over arbitrarily shaped domains , 1985, Comput. Vis. Graph. Image Process..

[5] Ramesh C. Jain,et al. Invariant surface characteristics for 3D object recognition in range images , 1985, Comput. Vis. Graph. Image Process..

[6] Leila De Floriani,et al. A hierarchical structure for surface approximation , 1984, Comput. Graph..

[7] Benoit B. Mandelbrot,et al. Fractal landscapes without creases and with rivers , 1988 .

[8] R. Lee,et al. Two-Dimensional Critical Point Configuration Graphs , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[9] Donald S. Fussell,et al. Computer rendering of stochastic models , 1982, Commun. ACM.

[10] R. Haralick,et al. The Topographic Primal Sketch , 1983 .