以下是将PLY点云文件经过最小生成树处理后,再把文件内的各个点使用线段正确连接的C++代码示例:

#include <iostream>
#include <fstream>
#include <vector>
#include <queue>
#include <algorithm>

using namespace std;

// 定义点的数据结构
struct Point {
    float x, y, z;
};

// 定义边的数据结构
struct Edge {
    int p1, p2;
    float weight;
};

// 定义比较函数
struct Compare {
    bool operator()(const Edge& e1, const Edge& e2) {
        return e1.weight > e2.weight;
    }
};

// 读取PLY文件,返回点云数据
vector<Point> readPLY(const char* filename) {
    vector<Point> points;

    ifstream file(filename, ios::in);
    string line;

    // 读取头部信息
    while (getline(file, line)) {
        if (line == "end_header") {
            break;
        }
    }

    // 读取点数据
    while (getline(file, line)) {
        Point p;
        sscanf(line.c_str(), "%f %f %f", &p.x, &p.y, &p.z);
        points.push_back(p);
    }

    file.close();

    return points;
}

// 计算两个点之间的距离
float distance(const Point& p1, const Point& p2) {
    float dx = p1.x - p2.x;
    float dy = p1.y - p2.y;
    float dz = p1.z - p2.z;
    return sqrt(dx * dx + dy * dy + dz * dz);
}

// 计算最小生成树,返回边的集合
vector<Edge> minimumSpanningTree(const vector<Point>& points) {
    int n = points.size();
    vector<Edge> edges;
    priority_queue<Edge, vector<Edge>, Compare> pq;

    // 构建边的集合
    for (int i = 0; i < n - 1; ++i) {
        for (int j = i + 1; j < n; ++j) {
            Edge e;
            e.p1 = i;
            e.p2 = j;
            e.weight = distance(points[i], points[j]);
            pq.push(e);
        }
    }

    // 计算最小生成树
    vector<int> parent(n);
    for (int i = 0; i < n; ++i) {
        parent[i] = i;
    }
    int count = 0;
    while (count < n - 1 && !pq.empty()) {
        Edge e = pq.top();
        pq.pop();
        int p1 = e.p1;
        int p2 = e.p2;
        int parent1 = parent[p1];
        int parent2 = parent[p2];
        while (parent1 != parent[parent1]) {
            parent1 = parent[parent1];
        }
        while (parent2 != parent[parent2]) {
            parent2 = parent[parent2];
        }
        if (parent1 != parent2) {
            edges.push_back(e);
            ++count;
            parent[parent1] = parent2;
        }
    }

    return edges;
}

// 将点云数据和边的集合输出为PLY文件
void writePLY(const char* filename, const vector<Point>& points, const vector<Edge>& edges) {
    ofstream file(filename, ios::out);
    file << "ply" << endl;
    file << "format ascii 1.0" << endl;
    file << "element vertex " << points.size() << endl;
    file << "property float x" << endl;
    file << "property float y" << endl;
    file << "property float z" << endl;
    file << "element edge " << edges.size() << endl;
    file << "property int vertex1" << endl;
    file << "property int vertex2" << endl;
    file << "end_header" << endl;
    for (const Point& p : points) {
        file << p.x << " " << p.y << " " << p.z << endl;
    }
    for (const Edge& e : edges) {
        file << e.p1 << " " << e.p2 << endl;
    }
    file.close();
}

// 将边的集合转换为线段集合
vector<pair<Point, Point>> edgesToSegments(const vector<Point>& points, const vector<Edge>& edges) {
    vector<pair<Point, Point>> segments;
    for (const Edge& e : edges) {
        Point p1 = points[e.p1];
        Point p2 = points[e.p2];
        segments.push_back(make_pair(p1, p2));
    }
    return segments;
}

int main(int argc, char** argv) {
    // 读取PLY文件
    vector<Point> points = readPLY("input.ply");

    // 计算最小生成树
    vector<Edge> edges = minimumSpanningTree(points);

    // 将点云数据和边的集合输出为PLY文件
    writePLY("output.ply", points, edges);

    // 将边的集合转换为线段集合
    vector<pair<Point, Point>> segments = edgesToSegments(points, edges);

    // 输出线段集合
    for (const auto& segment : segments) {
        cout << "(" << segment.first.x << ", " << segment.first.y << ", " << segment.first.z << ") - ";
        cout << "(" << segment.second.x << ", " << segment.second.y << ", " << segment.second.z << ")" << endl;
    }

    return 0;
}
``
将ply点云文件经过最小生成树处理后再把文件内的各个点使用线段正确连接的c++代码

原文地址: https://www.cveoy.top/t/topic/eo4Z 著作权归作者所有。请勿转载和采集!

免费AI点我,无需注册和登录