WebCam in C++

#include <StdAfx.h>
#include <opencv.hpp>

using namespace cv;

int main(int, char**)
{
    VideoCapture cap(0); // open the default camera
    if(!cap.isOpened())  // check if we succeeded
        return -1;

    Mat edges;

    namedWindow("edges",1);
namedWindow("original",2);
    for(;;)
    {
        Mat frame;
        cap >> frame; // get a new frame from camera
        cvtColor(frame, edges, CV_BGR2GRAY);
        GaussianBlur(edges, edges, Size(7,7), 1.5, 1.5);
        Canny(edges, edges, 0, 30,3);
        imshow("edges", edges);
imshow("original", frame);
        if(waitKey(30) >= 0) break;
    }
    // the camera will be deinitialized automatically in VideoCapture destructor
    return 0;
}

Capture Webcam in C

// OpenCV1.cpp : Defines the entry point for the console application.
//

#include "stdafx.h"
#include <cv.h>
#include <cxcore.h>
#include <highgui.h>
#include <stdio.h>

int _tmain(int argc, _TCHAR* argv[])
{
   CvCapture* capture = cvCaptureFromCAM( CV_CAP_ANY );
   if ( !capture ) {
     fprintf( stderr, "ERROR: capture is NULL \n" );
     getchar();
     return -1;
   }
   // Create a window in which the captured images will be presented
   cvNamedWindow( "mywindow", CV_WINDOW_AUTOSIZE );
   // Show the image captured from the camera in the window and repeat
   while ( 1 ) {
     // Get one frame
     IplImage* frame = cvQueryFrame( capture );
     if ( !frame ) {
       fprintf( stderr, "ERROR: frame is null...\n" );
       getchar();
       break;
     }
     cvShowImage( "mywindow", frame );
     // Do not release the frame!
     //If ESC key pressed, Key=0x10001B under OpenCV 0.9.7(linux version),
     //remove higher bits using AND operator
     if ( (cvWaitKey(10) & 255) == 27 ) break;
   }
   // Release the capture device housekeeping
   cvReleaseCapture( &capture );
   cvDestroyWindow( "mywindow" );
   return 0;

}

Install OpenCV 2.4 with Visual Studio 2010

Download OpenCV 2.4
http://sourceforge.net/projects/opencvlibrary/files/opencv-win/

Extract the files into a folder ‘D:\Software\opencv’

Copy the following things to a folder in C:\OpenCV2.4
  D:\Software\opencv\build\x86\vc10
  D:\Software\opencv\build\include


Add the follwoing into system variable.
C:\OpenCV2.4\bin;C:\OpenCV2.4\bin\Debug;C:\OpenCV2.4\bin\Release


Create a new project and add this to your project properties:
1. Go to VC++ Directories;
2. Add 3 new Include Directories (it's the path where you installed OpenCV, include folder):
      C:\OpenCV2.4\include\
      C:\OpenCV2.4\include\opencv
      C:\OpenCV2.4\include\opencv2
3. Add 1 new Library Directory (it's the path where you installed OpenCV, lib folder):
      C:\OpenCV2.4\lib
4. Go to Linker in the left menu and select Input option
5. Add these entries on Additional Dependencies option(debug)

      C:\OpenCV2.4\lib\opencv_core240d.lib
      C:\OpenCV2.4\lib\opencv_highgui240d.lib
      C:\OpenCV2.4\lib\opencv_video240d.lib
      C:\OpenCV2.4\lib\opencv_ml240d.lib
      C:\OpenCV2.4\lib\opencv_legacy240d.lib
      C:\OpenCV2.4\lib\opencv_imgproc240d.lib

6. Add these entries on Additional Dependencies option(release)

      C:\OpenCV2.4\lib\opencv_core240.lib
      C:\OpenCV2.4\lib\opencv_highgui240.lib
      C:\OpenCV2.4\lib\opencv_video240.lib
      C:\OpenCV2.4\lib\opencv_ml240.lib
      C:\OpenCV2.4\lib\opencv_legacy240.lib
      C:\OpenCV2.4\lib\opencv_imgproc240.lib

Team Michigen Sensor

http://april.eecs.umich.edu/magic/about/

Primary sensor is a combined camera/LIDAR rig. The camera is a PointGray FireflyMV USB camera with a 2.8mm fixed focal length lens giving us about a 90 degree field of view. The camera is mounted on a pair of AX-12 servos which allow the camera to pan and tilt around its focal point, making panorama generation straight-forward. Integrated into the same sensor mount is a Hokuyo UTM-30LX LIDAR range finder. It is mounted on a third AX-12 servo, allowing us to produce 3D point clouds. Because the two sensors are well-calibrated with respect to each other, we can obtain color data for laser points, or ranges for camera pixels. Note that the camera/LIDAR mount was fabricated using our uPrint rapid prototyper.