获取3D相机内外参
写在前面
- 本人从事机器视觉细分的3D相机行业。编写此系列文章主要目的有:
- 1、便利他人应用3D相机,本系列文章包含公司所出售相机的SDK的使用例程及详细注释;
- 2、促进行业发展及交流。
- 欢迎与我深入交流:微信号:liu_zhisensor
获取相机内外参及API说明
相机内外参说明
- 知微传感Dkam系列3D相机允许用户获取镜头的畸变参数、内参和外参
- 畸变参数、内参、外参的定义另请自主查询
相关API
- GetCamInternelParameter 获取相机内参
- int GetCamInternelParameter(int camera_cnt, float *Kc, float *K)
- 函数功能: 获取相机内部参数
- 参 数: camera_cn:CMOS 编号(0:红外 1:RGB); Kc:镜头畸变参数(K1,K2,P1,P2,K3)(K1,K2,K3为径向畸变参数,P1,P2为切向畸变参数);K:镜头的内参(fx,0,cx,0,fy,cy,0,0,1)
- 返回值: 0:设置正常 非 0:设置失败
- GetCamExternelParameter 获取相机外参
- int GetCamExternelParameter(int camera_cnt, float *R, float *T)
- 函数功能: 获取相机外部参数
- 参 数: camera_cn:CMOS 编号(0:红外 1:RGB); R:当前镜头相对于红外镜头(点云)坐标系的旋转矩阵;T:当前镜头相对于红外镜头(点云)坐标系的平移向量
- 返回值: 0:设置正常 非 0:设置失败
例程及注释
- 本例程基于WIN10+VisualStudio2019+DkamSDK_1.6.71,采用C++语言
- DkamSDK的配置方法请参考SDK说明书
- 本例程在D132S型相机上验证
// GetParameter.cpp : 此文件包含 "main" 函数。程序执行将在此处开始并结束。
#include <iostream>
#include <cstring>
//DkamSDK
#include"dkam_discovery.h"
#include"dkam_gige_camera.h"
#include"dkam_gige_stream.h"
int main()
{
std::cout << "Hello ZHIsensor!"<<std::endl;
std::cout << "Hello liu_sensor!" << std::endl;
std::vector<DiscoveryInfo> discovery_info;
Discovery discovery;
GigeCamera camera;
GigeStream* pointgigestream = NULL;
GigeStream* graygigestream = NULL;
GigeStream* rgbgigestream = NULL;
std::vector<DiscoveryInfo>().swap(discovery_info);
//********************************************查询相机****************************************************
//查询局域网内的3D相机
int camer_num = discovery.DiscoverCamera(&discovery_info);
std::cout << "局域网内共有" << camer_num << "台相机" << std::endl;
//显示局域网内相机的IP
for (int i = 0; i < camer_num; i++)
{
std::cout << "局域网内相机的IP为:" << discovery.ConvertIpIntToString(discovery_info[i].camera_ip) << std::endl;
}
//********************************************连接相机****************************************************
//选定相机
int k = -1;
for (int i = 0; i < camer_num; i++)
{
if (strcmp((discovery.ConvertIpIntToString(discovery_info[i].camera_ip)), "192.168.30.35") == 0)
{
k = i;
std::cout << "将连接第" << k + 1 << "台相机" << std::endl;
}
else
{
std::cout << "局域网内无该IP的相机" << std::endl;
}
}
//********************************************获取内参****************************************************
//连接相机
int connect = camera.CameraConnect(&discovery_info[k]);
if (connect == 0)
{
std::cout << "成功连接相机" << std::endl;
std::cout << std::endl;
}
else
{
std::cout << "连接相机失败,请检查!!!" << std::endl;
}
if (connect == 0)
{
//相机内参
float* kc = new float[5];
float* kk = new float[9];
//获取红外镜头内参
std::cout << "获取红外镜头内参中……" << std::endl;
int getInternelGray = camera.GetCamInternelParameter(0, kc, kk);
if (getInternelGray == 0)
{
std::cout << "红外镜头内参获取成功!" << std::endl;
}
else
{
std::cout << "红外镜头内参获取失败,请检查!!!" << std::endl;
}
std::cout << "红外镜头畸变参数为:" << std::endl;
std::cout << "K1=" << kc[0] << std::endl;
std::cout << "K2=" << kc[1] << std::endl;
std::cout << "P1=" << kc[2] << std::endl;
std::cout << "P2=" << kc[3] << std::endl;
std::cout << "K3=" << kc[4] << std::endl;
std::cout << "红外镜头内参为(按行输出):" << std::endl;
for (int z = 0; z < 9; z++) {
std::cout << "kk:" << kk[z] << std::endl;
}
std::cout << std::endl;
//获取RGB镜头内参
std::cout << "获取RGB镜头内参中……" << std::endl;
int getInternelRGB = camera.GetCamInternelParameter(1, kc, kk);
if (getInternelRGB == 0)
{
std::cout << "RGB镜头内参获取成功!" << std::endl;
}
else
{
std::cout << "RGB镜头内参获取失败,请检查!!!" << std::endl;
}
std::cout << "RGB镜头畸变参数为:" << std::endl;
std::cout << "K1=" << kc[0] << std::endl;
std::cout << "K2=" << kc[1] << std::endl;
std::cout << "P1=" << kc[2] << std::endl;
std::cout << "P2=" << kc[3] << std::endl;
std::cout << "K3=" << kc[4] << std::endl;
std::cout << "RGB镜头内参为(按行输出):" << std::endl;
for (int z = 0; z < 9; z++) {
std::cout << "kk:" << kk[z] << std::endl;
}
std::cout << std::endl;
//********************************************获取外参****************************************************
//外参
float* r = new float[9];
float* t = new float[3];
std::cout << "获取RGB镜头相对红外镜头的外参:" << std::endl;
int getExternel = camera.GetCamExternelParameter(1, r, t);
if (getExternel == 0)
{
std::cout << "RGB镜头相对红外镜头的外参获取成功!" << std::endl;
}
else
{
std::cout << "RGB镜头相对红外镜头的外参获取失败,请检查!!!" << std::endl;
}
std::cout << "RGB镜头相对红外镜头的外参为(按行输出):" << std::endl;
for (int j = 0; j < 9; j++) {
std::cout << "R:" << r[j] << std::endl;
}
for (int z = 0; z < 3; z++) {
std::cout << "T:" << t[z] << std::endl;
}
delete[]kc;
delete[]kk;
delete[]r;
delete[]t;
int disconnect = camera.CameraDisconnect();
std::cout << "工作结束!!!!!!" << std::endl;
}
return(0);
}
运行结果

后记
- 因为外参是以红外(点云)坐标系为参考,因此获取外参时只获取了RGB镜头的外参
- 如有问题,欢迎与我深入交流:微信号:liu_zhisensor