zhangzhensong

VisualSFM by Changchang Wu

Probably the most straight forward way to start generating Point Clouds from a set of pictures.

VisualSFM is a GUI application for 3D reconstruction using structure from motion (SFM). The reconstruction system integrates several of my previous projects: SIFT on GPU(SiftGPU), Multicore Bundle Adjustment, and Towards Linear-time Incremental Structure from Motion. VisualSFM runs fast by exploiting multicore parallelism for feature detection, feature matching, and bundle adjustment.

For dense reconstruction, this program supports Yasutaka Furukawa's PMVS/CMVS tool chain, and can prepare data for Michal Jancosek's CMP-MVS. In addition, the output of VisualSFM is natively supported by Mathias Rothermel and Konrad Wenzel's [SURE]

zhangzhensong

// don't forget to include related head files
void BindCVMat2GLTexture(cv::Mat& image, GLuint& imageTexture)
{
   if(image.empty()){
      std::cout << "image empty" << std::endl;
  }else{
      //glTexEnvi(GL_TEXTURE_ENV, GL_TEXTURE_ENV_MODE, GL_MODULATE);
      glTexEnvi(GL_TEXTURE_ENV, GL_TEXTURE_ENV_MODE, GL_REPLACE);
      glGenTextures(1, &imageTexture1);
      glBindTexture(GL_TEXTURE_2D, imageTexture1);

zhangzhensong

#include <Eigen/Dense>
typedef Vector2d v2d;

int mean_value_coordinates( const vector<v2d> &cageCoords, const v2d &queryCoord, vector<double> &baryCoords)
{
	//////////////////////////////////////////////////////////////////////////////////
    // Input :
    //      1. polyCoords :  Coordinates of closed polygon in the Counter
    //                       clockwise direction. The input is not tested inside.
    //