Question

我正在构建一个基于OpenGL3的免费开源3D游戏引擎（这不是一项学校作业，而是用于个人技能开发并向开源社区提供回馈）。我已经到了需要学习大量相关数学的阶段，所以我正在读一本名为“3D游戏编程和计算机图形学数学，第3版”的优秀教科书。

尽管如此，我在尝试做书的练习时遇到了障碍，因为我在C ++中实现“Gram-Schmidt正交化算法”的尝试输出了错误的答案。我不是数学专家（虽然我想要变得更好），而且我在查看数学算法并将其转换为代码方面的经验非常有限（仅限于我从Udacity.com学到的一些东西）。无论如何，如果有人能够查看我的错误代码并给我一个提示或解决方案，那将会非常有帮助。

这是：

/*
The Gram-Schmidt Orthogonalization algorithm is as follows:

    Given a set of n linearly independent vectors Beta = {e_1, e_2, ..., e_n},
    the algorithm produces a set Beta' = {e_1', e_2', ..., e_n'} such that
    dot(e_i', e_j') = 0 whenever i != j.

    A. Set e_1' = e_1
    B. Begin with the index i = 2 and k = 1
    C. Subtract the projection of e, onto the vectors e_1', e_2', ..., e_(i-1)'
       from e_i, and store the result in e_i', That is,

                             dot(e_i, e_k')
       e_i' = e_i - sum_over(-------------- e_k')
                                e_k'^2

    D. If i < n, increment i and loop back to step C.
*/

#include <iostream>
#include <glm/glm.hpp>

glm::vec3 sum_over_e(glm::vec3* e, glm::vec3* e_prime, int& i)
{
    int k = 0;
    glm::vec3 result;

    while (k < i-2)
    {
        glm::vec3 e_prime_k_squared(pow(e_prime[k].x, 2), pow(e_prime[k].y, 2), pow(e_prime[k].z, 2));
        result += (glm::dot(e[i], e_prime[k]) / e_prime_k_squared) * e_prime[k];
        k++;
    }

    return result;
}

int main(int argc, char** argv)
{
    int n = 2;  // number of vectors we're working with
    glm::vec3 e[] = {
        glm::vec3(sqrt(2)/2, sqrt(2)/2, 0),
        glm::vec3(-1, 1, -1),
        glm::vec3(0, -2, -2)
    };

    glm::vec3 e_prime[n];
    e_prime[0] = e[0];  // step A

    int i = 0;  // step B

    do  // step C
    {
        e_prime[i] = e[i] - sum_over_e(e, e_prime, i);

        i++;    // step D
    } while (i-1 < n);

    for (int loop_count = 0; loop_count <= n; loop_count++)
    {
        std::cout << "Vector e_prime_" << loop_count+1 << ": < " 
                  << e_prime[loop_count].x << ", " 
                  << e_prime[loop_count].y << ", " 
                  << e_prime[loop_count].z << " >" << std::endl;
    }

    return 0;
}

此代码输出：

Vector e_prime_1: < 0.707107, 0.707107, 0 >
Vector e_prime_2: < -1, 1, -1 >
Vector e_prime_3: < 0, -2, -2 >

但正确答案应该是：

Vector e_prime_1: < 0.707107, 0.707107, 0 >
Vector e_prime_2: < -1, 1, -1 >
Vector e_prime_3: < 1, -1, -2 >

编辑：以下是产生正确答案的代码：

#include <iostream>
#include <glm/glm.hpp>

glm::vec3 sum_over_e(glm::vec3* e, glm::vec3* e_prime, int& i)
{
    int k = 0;
    glm::vec3 result;

    while (k < i-1)
    {
        float e_prime_k_squared = glm::dot(e_prime[k], e_prime[k]);
        result += ((glm::dot(e[i], e_prime[k]) / e_prime_k_squared) * e_prime[k]);
        k++;
    }

    return result;
}

int main(int argc, char** argv)
{
    int n = 3;  // number of vectors we're working with
    glm::vec3 e[] = {
        glm::vec3(sqrt(2)/2, sqrt(2)/2, 0),
        glm::vec3(-1, 1, -1),
        glm::vec3(0, -2, -2)
    };

    glm::vec3 e_prime[n];
    e_prime[0] = e[0];  // step A

    int i = 0;  // step B

    do  // step C
    {
        e_prime[i] = e[i] - sum_over_e(e, e_prime, i);

        i++;    // step D
    } while (i < n);

    for (int loop_count = 0; loop_count < n; loop_count++)
    {
        std::cout << "Vector e_prime_" << loop_count+1 << ": < " 
                  << e_prime[loop_count].x << ", " 
                  << e_prime[loop_count].y << ", " 
                  << e_prime[loop_count].z << " >" << std::endl;
    }

    return 0;
}

Answer 1

问题可能在于您定义e_k'^2的方式。就矢量数学而言，矢量的平方通常被视为其范数的平方。因此，

double e_prime_k_squared = glm::dot(e_prime_k, e_prime_k);

此外，除以向量是未定义的（我想知道为什么GLM允许它？），所以如果e_k'^2是一个向量，那么整个事物是未定义的。

Gram-Schmidt正交化不正确的实现

1 个答案: