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// Profilometer.cpp : This file contains the 'main' function. Program execution begins and ends there.
//
//Program flow:
// Initialize PMeter
// Set geometry constants - sigma, dist, radius
// Set camera constants - pixel dimensions, fov angles
// Precalculate other constants - trig expressions and such
// ---Precalculate curvature correction---
// Nevermind, this varies with horizontal position and therefore both x and y, would need full screen 2d array
// Maybe there's an approximation that's fixed in one of those and varies in the other?
// Per frame:
// Preprocessing - Calculate threshold for identifying intensity spikes
// Build incidence pixel (IP) array
// Laser likely centered, may not extend across whole fov -> start in middle of x range, not edge
// Prioritize neighborhood search to cut down number of operations
// Option 1: maximal intensity pixel is IP
// Option 2: find groups of pixels above threshold, use weighted average of the segment as IP
// Calculate real space depth of IPs
// Apply curvature correction
// Return depth array
//
#define _USE_MATH_DEFINES
#include <iostream>
#include <math.h>
#include <opencv2/opencv.hpp>
class PMeter {
public:
int height, width;
// camera pixel dimensions
double alpha, beta;
// camera angle dimensions
// full fov is 2* this angle, vertical and horizontal respectively
// 0 < alpha < sigma
// alpha >= sigma causes phi singularity
// 0 < beta < pi/2
double sigma;
// angle between laser plane and camera center line
// 0 < sigma < pi/2
double dist;
// distance between camera and laser
double phi, theta;
// coordinate angles
void fastinit(int h, int w, double a, double b, double s, double d, double p, double t) {
//TODO: overload this
// class variable initializer
height = h;
width = w;
alpha = a;
beta = b;
sigma = s;
dist = d;
phi = p;
theta = t;
}
void print_conf() {
std::cout << "Height: " << height << "\n";
std::cout << "Width: " << width << "\n";
std::cout << "Alpha: " << alpha << "\n";
std::cout << "Beta: " << beta << "\n";
std::cout << "Sigma: " << sigma << "\n";
std::cout << "Dist: " << dist << "\n";
std::cout << "Phi: " << phi << "\n";
std::cout << "Theta: " << theta << "\n";
}
double get_phi(int y) {
// phi is angle below camera center line of given y coordinate - above center is negative
// returns phi at pixel center, removing the +1 shifts this to low edge
// alpha >= phi >= -alpha
phi = atan(tan(alpha)/height * (2 * y + 1 - height));
return phi;
}
double get_theta(int x) {
// theta is horizontal angle between center line and given x coordinate
// returns theta at pixel center, removing the -1 shifts this to low edge
// beta >= theta >= -beta
// if viewed from above, positive theta means pixel vector is to the left of center, i.e. x < width/2
theta = atan(tan(beta) / width * (width - 2 * x - 1));
return theta;
}
double pixel_delta_approx() {
// returns approximation of change in elevation from y to y+1
// assumes that epsilon=0
double delta = 2 * dist * tan(alpha) * cos(phi) / (height * sin(sigma + phi) * sin(sigma + phi));
return delta;
}
double pixel_delta_exact() {
// returns exact change in elevation from y to y+1
double tan_eps = 2 * tan(alpha) * cos(phi) * cos(phi) / (height + 2 * tan(alpha) * sin(phi) * cos(phi));
std::cout << "Tan(eps) at phi=" << phi << ": " << tan_eps << "\n";
double delta = 2 * dist * tan(alpha) * cos(phi) * (cos(phi) - sin(phi) * tan_eps) / (height * sin(sigma + phi) * (sin(sigma + phi) + cos(sigma + phi) * tan_eps));
return delta;
}
double get_elevation() {
// elevation above horizontal camera plane
// singularity if phi = -sigma
// flat projection surface -> x coordinate irrelevant
double e = dist / tan(phi + sigma);
return e;
}
double get_horizontal_dist() {
// get horizontal distance from center line, same sign convention as theta
// generally depends on both x and y
double f = dist * tan(theta) / sin(sigma + phi);
return f;
}
void approx_test_phi(double new_phi) {
// print exact and approximate delta and the error at given phi
// changes phi
phi = new_phi;
double da = pixel_delta_approx();
std::cout << "Delta approx.: " << da << "\n";
double de = pixel_delta_exact();
std::cout << "Delta exact: " << de << "\n";
std::cout << "Error absolute: " << (de - da) << "\n";
std::cout << "Error relative: " << (de - da)/de << "\n";
}
void edge_test() {
// run approx_test_phi at bottom edge, phi=0, and top edge
// preserves phi
double old_phi = phi;
std::cout << "\nMax phi\n";
approx_test_phi(alpha);
std::cout << "\nZero phi\n";
approx_test_phi(0.0);
std::cout << "\nMin phi\n";
approx_test_phi(-1*alpha);
phi = old_phi;
}
};
int main()
{
PMeter PM;
PM.fastinit(1000, 1000, M_PI / 6, M_PI / 6, M_PI / 3, 5.0, 0.0, 0.0);
PM.print_conf();
std::cout << "phi at y=50 is " << PM.get_phi(50) << "\n";
PM.edge_test();
////cv::Mat image = cv::imread("./PM_test_0.bmp");
//cv::Mat image = cv::imread("./PM_test_1.png");
////cv::Mat image = cv::imread("./PM_test_2.png");
//
//cv::String windowName = "imtest";
//cv::namedWindow(windowName);
//cv::imshow(windowName, image);
//cv::waitKey(0);
std::cout << "\n===\nEnd of main()\n===\n";
}
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