This project refers to the application of the computer graphics theory.
In order to display the functionality of each part, there are one or more demo scripts at each part which can be run without any arguments.
The first method is Flat method and it gives one specific color to each triangle which is computed as the mean of the three vertices' colours.
The result of the first method exists in FlatDuck.jpg image.
The second method is Gouraud method.This method gives a color to each triangle's side which is computed as the linear interpolation of the two corresponding vertices' colors.The color of every inner pixel is computed as the linear interpolation of the two corresponding active points of the current scanline.
The result of the second method exists in GouraudDuck.jpg image.
Firstly it translates the image by a constant vector t1 then it rotates it by a constant matrix R and finally it translates it by another constant vector t2.
The result of the three transformations exists in 0.jpg, 1.jpg, 2.jpg, 3.jpg image.
Firstly, it implements three different types of illumination ambient,diffusion and specular. It uses two methods to paint the objects.
The first method is shadeGouraud and is implemented as the Gouraud method in Part 1. The only difference is that it computes vertices' colour as the summary of ambient, diffusion and specular light.
The results of the first method exist in gouraud_ambient.jpg , gouraud_diffusion.jpg, gouraud_specular.jpg and gouraud_all.jpg images.
The second method is shadePhong method. This method computes the normal vector of each side as the linear interpolation of the two corresponding vertices' normal vectors. It also computes the coefficients ka,kd and ks in a similar way. Having these parameters it computes the three types of lighting and gives a specific colour to each active point. The normal vectors and the coefficients ka,kd,ks of every inner pixel are computed as the linear interpolation of the two corresponding active points of the current scanline and similarly a specific color according to lighting's summary is given to the pixel.
The results of the second method exist in phong_ambient.jpg , phong_diffusion.jpg, phong_specular.jpg and phong_all.jpg images.
