Orthographic projection is a method of representing three-dimensional objects in two dimensions, where the projections are parallel and do not converge. To implement orthographic projection in C++, you need to transform 3D coordinates into 2D coordinates by ignoring the depth information.
Here’s a basic example of how you might apply orthographic projection using C++:
Define the 3D points: Start by defining your 3D points.
Apply the orthographic projection matrix: This matrix will project the 3D points onto a 2D plane.
Convert the projected points to screen coordinates: Adjust the coordinates for rendering.
Here is a simple C++ example:
cpp#include <iostream>
#include <vector>
// Define a struct to represent a 3D point
struct Point3D {
float x, y, z;
};
// Define a struct to represent a 2D point
struct Point2D {
float x, y;
};
// Function to perform orthographic projection
Point2D orthographicProjection(const Point3D& point) {
// In orthographic projection, we discard the z coordinate
Point2D projectedPoint;
projectedPoint.x = point.x;
projectedPoint.y = point.y;
return projectedPoint;
}
int main() {
// Define some 3D points
std::vector<Point3D> points3D = {
{1.0f, 2.0f, 3.0f},
{4.0f, 5.0f, 6.0f},
{7.0f, 8.0f, 9.0f}
};
// Project the 3D points to 2D
std::vector<Point2D> points2D;
for (const auto& point : points3D) {
points2D.push_back(orthographicProjection(point));
}
// Print the 2D points
for (const auto& point : points2D) {
std::cout << "2D Point: (" << point.x << ", " << point.y << ")\n";
}
return 0;
}
Explanation:
Point3D and Point2D Structures: We use structs to represent 3D and 2D points.
orthographicProjection Function: This function takes a 3D point and returns a 2D point by simply discarding the z-coordinate.
Main Function:
- Define 3D Points: We create a list of 3D points.
- Projection: We project each 3D point to 2D using the
orthographicProjection
function. - Print Results: We output the 2D points to the console.
In a more complex application, you might also need to handle scaling and translating to fit the 2D viewport. This basic example demonstrates the core concept of orthographic projection.
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