Phong光照产生条纹图案

下面是一个示例代码，演示了如何使用Phong光照模型生成条纹图案：

import numpy as np
import matplotlib.pyplot as plt

def phong_lighting(vertex_normals, light_position, view_position, light_intensity, ambient_intensity, k_diffuse, k_specular, specular_power):
    # 计算光照强度
    light_direction = np.array(light_position) - np.array(vertex_normals)
    light_direction_normalized = light_direction / np.linalg.norm(light_direction)
    view_direction = np.array(view_position) - np.array(vertex_normals)
    view_direction_normalized = view_direction / np.linalg.norm(view_direction)
    normal_direction_normalized = vertex_normals / np.linalg.norm(vertex_normals)
    
    diffuse_intensity = light_intensity * k_diffuse * np.dot(light_direction_normalized, normal_direction_normalized)
    specular_intensity = light_intensity * k_specular * np.dot(view_direction_normalized, np.power(np.dot(light_direction_normalized, normal_direction_normalized), specular_power))
    
    total_intensity = ambient_intensity + diffuse_intensity + specular_intensity
    return total_intensity

# 生成网格
x = np.linspace(-10, 10, 100)
y = np.linspace(-10, 10, 100)
X, Y = np.meshgrid(x, y)

# 计算法线向量
Z = 0.1 * np.sin(X) + 0.1 * np.cos(Y)
dx = -0.1 * np.cos(X)
dy = -0.1 * np.sin(Y)
normal = np.dstack((dx, dy, np.ones_like(X)))
normal = normal / np.linalg.norm(normal, axis=2)

# 光照参数
light_position = [0, 0, 1]
view_position = [0, 0, 10]
light_intensity = 1.0
ambient_intensity = 0.1
k_diffuse = 0.5
k_specular = 0.5
specular_power = 16

# 计算光照强度
intensity = phong_lighting(normal, light_position, view_position, light_intensity, ambient_intensity, k_diffuse, k_specular, specular_power)

# 绘制图像
plt.imshow(intensity, cmap='gray')
plt.show()

这个示例代码使用了numpy和matplotlib库。首先，我们生成了一个网格，然后计算了每个顶点的法线向量。接下来，我们定义了光照参数，并使用Phong光照模型计算每个顶点的光照强度。最后，我们使用imshow函数将光照强度图像绘制出来。在这个示例中，我们使用灰度图像来表示光照强度。你可以根据自己的需要进行修改和定制。