我希望使用Phong照明方案渲染包含一个盒子和一个点光源的场景。以下是我计算的相关代码片段:
R3Rgb Phong(R3Scene *scene, R3Ray *ray, R3Intersection *intersection)
{
R3Rgb radiance;
if(intersection->hit == 0)
{
radiance = scene->background;
return radiance;
}
...
// obtain ambient term
... // this is zero for my test
// obtain emissive term
... // this is also zero for my test
// for each light in the scene, obtain calculate the diffuse and specular terms
R3Rgb intensity_diffuse(0,0,0,1);
R3Rgb intensity_specular(0,0,0,1);
for(unsigned int i = 0; i < scene->lights.size(); i++)
{
R3Light *light = scene->Light(i);
R3Rgb light_color = LightIntensity(scene->Light(i), intersection->position);
R3Vector light_vector = -LightDirection(scene->Light(i), intersection->position);
// check if the light is "behind" the surface normal
if(normal.Dot(light_vector)<=0)
continue;
// calculate diffuse reflection
if(!Kd.IsBlack())
intensity_diffuse += Kd*normal.Dot(light_vector)*light_color;
if(Ks.IsBlack())
continue;
// calculate specular reflection
... // this I believe to be irrelevant for the particular test I'm doing
}
radiance = intensity_diffuse;
return radiance;
}
R3Rgb LightIntensity(R3Light *light, R3Point position)
{
R3Rgb light_intensity;
double distance;
double denominator;
if(light->type != R3_DIRECTIONAL_LIGHT)
{
distance = (position-light->position).Length();
denominator = light->constant_attenuation +
(light->linear_attenuation*distance) +
(light->quadratic_attenuation*distance*distance);
}
switch(light->type)
{
...
case R3_POINT_LIGHT:
light_intensity = light->color/denominator;
break;
...
}
return light_intensity;
}
R3Vector LightDirection(R3Light *light, R3Point position)
{
R3Vector light_direction;
switch(light->type)
{
...
case R3_POINT_LIGHT:
light_direction = position - light->position;
break;
...
}
light_direction.Normalize();
return light_direction;
}
我认为错误必须在LightDirection(...)
或LightIntensity(...)
函数中的某处,因为当我使用定向光源运行代码时,我会获得所需的渲染图像(因此这让我相信Phong照明方程是正确的)。另外,在Phong(...)中,当我计算intensity_diffuse
并且在调试时,我将light_color
除以10,我得到了一个看起来更像我需要的结果图像。我正确计算light_color
吗?
感谢。
答案 0 :(得分:0)
原来我没有错误。我正在比较我的结果的“最终图像”未正确计算。