 the point p . The direction of the normal specifies l = (L , L )  =   I(x ,y),...,I(x ,y),...,I(x ,y ),....,I(x ,y)   : ) between the x axis in this article. tion vector of light intensity and environment ( Estimate consistency in shadows showed as follows: Shadow constraints can be represented as linear ine- ,..., ,...,l qualities in the plane. Shown in Figure 2 are two line defined by its normal and point . In each case, a shadow constraint is specified by either a pair For the infinite light source images, convert prob- of lines (wedge cast shadow constraint) or a single lems into error function to obtain the minimum val- line (half-plane attached shadow constraint). ue. Therefore, the process of solvi ng infinite light Formally, a half-plane constraint is specified with

doi:10.1201/b18660-85

Chapter

 the point p . The direction of the normal specifies l = (L , L )  =   I(x ,y),...,I(x ,y),...,I(x ,y ),....,I(x ,y)  

Chapter

) between the x axis in this article. tion vector of light intensity and environment ( Estimate consistency in shadows showed as follows: Shadow constraints can be represented as linear ine- ,..., ,...,l qualities in the plane. Shown in Figure 2 are two line defined by its normal and point . In each case, a shadow constraint is specified by either a pair For the infinite light source images, convert prob- of lines (wedge cast shadow constraint) or a single lems into error function to obtain the minimum val- line (half-plane attached shadow constraint). ue. Therefore, the process of solvi ng infinite light Formally, a half-plane constraint is specified with

ABSTRACT

We solve the global optimal solution of constraint conditions by c culating v .The average k of faceted light source direction gets infinite light source direction of the light source, by converting them into the form of a rectangular coordinate system. Infinite light image of the light direction can be calculated with the rectangular coordinate system of the angle (a) between the x axis in this article.