A Bas-Relief Generation Method Based on Visual Saliency
A bas-relief and remarkable technology, applied in the direction of image data processing, instruments, etc., can solve complex problems, achieve the effect of enhancing detail information and maintaining surface detail information
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Embodiment 1
[0053] This embodiment is to use the method of the present invention to figure 1 The three-dimensional model shown is compressed to generate bas-relief, and the specific steps are as follows:
[0054] (1) For the input 3D model, use a bilateral filter to calculate the saliency information of the 3D model.
[0055] Calculate the saliency information ζ(υ) of each vertex υ on the surface of the three-dimensional model, that is, the average height field of each vertex;
[0056]
[0057]
[0058] Among them, ζ(υ) represents the saliency information of each vertex υ on the surface of the 3D model; x represents the center point of the 3D model; υ represents any vertex on the surface of the 3D model; σ S Take 0.8; σ R Take 0.4; ξ(ν) represents the projection height of the vertex υ on the surface of the three-dimensional model in the direction of the z-axis; ξ(x) represents the projection height of the center point of the three-dimensional model in the direction of the z-axis; ...
Embodiment 2
[0068] This embodiment is to use the method of the present invention to Figure 4 The three-dimensional model shown is compressed to generate bas-relief, and the specific steps are as follows:
[0069] (1) For the input 3D model, the saliency information of the 3D model is calculated using a cross-bilateral filter.
[0070] Calculate the saliency information ζ(υ) of each vertex on the surface of the 3D model using Equation 2a-Equation 2e:
[0071]
[0072] Γ(x,ν)=exp[-||x-ν|| 2 / (2σ S ) 2 ] (Formula 2b)
[0073] Φ(x, ξ(ν))=exp[-||ξ(x)-ξ(ν)|| 2 / (2σ R ) 2 ] (Formula 2c)
[0074] Ψ(x, κ(ν))=exp[-||κ(x)-κ(ν)|| 2 / (2σ V ) 2 ] (Formula 2d)
[0075]
[0076] Among them, ζ(υ) represents the saliency information of each vertex v on the 3D model; x represents the center point of the 3D model; υ represents any vertex on the surface of the 3D model; σ represents the height standard deviation, and σ takes the center point x and Any value between the maximum value and th...
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