under c/c++-->general-->additional include directories-->C:OpenCV2.3buildinclude;C:OpenCV2.3buildincludeopencv2;C:OpenCV2.3buildincludeopencv;C:OpenCV2.3opencvdatahaarcascades

under linker-->general-->additional library directories-->C:OpenCV2.3buildx86vc9lib;C:OpenCV2.3opencvdatahaarcascades;%(AdditionalLibraryDirectories)

under linker-->input-->additional dependencies--> added opencv_core230.lib;opencv_highgui230.lib;opencv_objdetect230.lib

under debugging-->command arguments -->added --cascade="C:/Program Files/OpenCV/data/haarcascades/haarcascade_frontalface_alt.xml"testimg.jpg

#include <cv.h>
#include <highgui.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <assert.h>
#include <math.h>
#include <float.h>
#include <limits.h>
#include <time.h>
#include <ctype.h>

// Create memory for calculations
static CvMemStorage* storage = 0;

// Create a new Haar classifier
static CvHaarClassifierCascade* cascade = 0;

// Function prototype for detecting and drawing an object from an image
void detect_and_draw( IplImage* image );

// Create a string that contains the cascade name
const char* cascade_name = "haarcascade_frontalface_alt.xml";
/*    "haarcascade_profileface.xml";*/

// Main function, defines the entry point for the program.
int main( int argc, char** argv )
{
    // Structure for getting video from camera or avi
    CvCapture* capture = 0;

    // Images to capture the frame from video or camera or from file
    IplImage *frame, *frame_copy = 0;
    /*  IplImage* img = cvLoadImage( "testimg.jpg" );
    cvNamedWindow( "MyJPG", CV_WINDOW_AUTOSIZE );
    cvShowImage("MyJPG", img);
    cvWaitKey(0);
    cvReleaseImage( &img );
    cvDestroyWindow( "MyJPG" );
    */
    // Used for calculations
    int optlen = strlen("--cascade=");

    // Input file name for avi or image file.
    const char* input_name;

    // Check for the correct usage of the command line
    if( argc > 1 && strncmp( argv[1], "--cascade=", optlen ) == 0 )
    {
        cascade_name = argv[1] + optlen;
        input_name = argc > 2 ? argv[2] : 0;
    }
    else
    {
        fprintf( stderr,
        "Usage: facedetect --cascade="<cascade_path>" [filename|camera_index]n" );
        return -1;
        /*input_name = argc > 1 ? argv[1] : 0;*/
    }

    // Load the HaarClassifierCascade
    cascade = (CvHaarClassifierCascade*)cvLoad( cascade_name, 0, 0, 0 );

    // Check whether the cascade has loaded successfully. Else report and error and quit
    if( !cascade )
    {
        fprintf( stderr, "ERROR: Could not load classifier cascaden" );
        return -1;
    }

    // Allocate the memory storage
    storage = cvCreateMemStorage(0);

    // Find whether to detect the object from file or from camera.
    if( !input_name || (isdigit(input_name[0]) && input_name[1] == '') )
        capture = cvCaptureFromCAM( !input_name ? 0 : input_name[0] - '0' );
    else
        capture = cvCaptureFromAVI( input_name );

    // Create a new named window with title: result
    cvNamedWindow( "result", 1 );

    // Find if the capture is loaded successfully or not.

    // If loaded succesfully, then:
    if( capture )
    {
        // Capture from the camera.
        for(;;)
        {
            // Capture the frame and load it in IplImage
            if( !cvGrabFrame( capture ))
                break;
            frame = cvRetrieveFrame( capture );

            // If the frame does not exist, quit the loop
            if( !frame )
                break;

            // Allocate framecopy as the same size of the frame
            if( !frame_copy )
                frame_copy = cvCreateImage( cvSize(frame->width,frame->height),
                                            IPL_DEPTH_8U, frame->nChannels );

            // Check the origin of image. If top left, copy the image frame to frame_copy.
            if( frame->origin == IPL_ORIGIN_TL )
                cvCopy( frame, frame_copy, 0 );
            // Else flip and copy the image
            else
                cvFlip( frame, frame_copy, 0 );

            // Call the function to detect and draw the face
            detect_and_draw( frame_copy );

            // Wait for a while before proceeding to the next frame
            if( cvWaitKey( 10 ) >= 0 )
                break;
        }

        // Release the images, and capture memory
        cvReleaseImage( &frame_copy );
        cvReleaseCapture( &capture );
    }

    // If the capture is not loaded succesfully, then:
    else
    {
        // Assume the image to be lena.jpg, or the input_name specified
        const char* filename = input_name ? input_name : (char*)"testimg.jpg";

        // Load the image from that filename
        IplImage* image = cvLoadImage( filename, 1 );

        // If Image is loaded succesfully, then:
        if( image )
        {
            // Detect and draw the face
            detect_and_draw( image );

            // Wait for user input
            cvWaitKey(0);

            // Release the image memory
            cvReleaseImage( &image );
        }
        else
        {
            /* assume it is a text file containing the
               list of the image filenames to be processed - one per line */
            FILE* f = fopen( filename, "rt" );
            if( f )
            {
                char buf[1000+1];

                // Get the line from the file
                while( fgets( buf, 1000, f ) )
                {

                    // Remove the spaces if any, and clean up the name
                    int len = (int)strlen(buf);
                    while( len > 0 && isspace(buf[len-1]) )
                        len--;
                    buf[len] = '';

                    // Load the image from the filename present in the buffer
                    image = cvLoadImage( buf, 1 );

                    // If the image was loaded succesfully, then:
                    if( image )
                    {
                        // Detect and draw the face from the image
                        detect_and_draw( image );

                        // Wait for the user input, and release the memory
                        cvWaitKey(0);
                        cvReleaseImage( &image );
                    }
                }
                // Close the file
                fclose(f);
            }
        }
    }

    // Destroy the window previously created with filename: "result"
    cvDestroyWindow("result");

    // return 0 to indicate successfull execution of the program
    return 0;
}

// Function to detect and draw any faces that is present in an image
void detect_and_draw( IplImage* img )
{
    int scale = 1;

    // Create a new image based on the input image
    IplImage* temp = cvCreateImage( cvSize(img->width/scale,img->height/scale), 8, 3 );

    // Create two points to represent the face locations
    CvPoint pt1, pt2;
    int i;

    // Clear the memory storage which was used before
    cvClearMemStorage( storage );

    // Find whether the cascade is loaded, to find the faces. If yes, then:
    if( cascade )
    {
        // There can be more than one face in an image. So create a growable sequence of faces.
        // Detect the objects and store them in the sequence
        CvSeq* faces = cvHaarDetectObjects( img, cascade, storage,
                                            1.1, 2, CV_HAAR_DO_CANNY_PRUNING,
                                            cvSize(40, 40) );

        // Loop the number of faces found.
        for( i = 0; i < (faces ? faces->total : 0); i++ )
        {
            // Create a new rectangle for drawing the face
            CvRect* r = (CvRect*)cvGetSeqElem( faces, i );

            // Find the dimensions of the face,and scale it if necessary
            pt1.x = r->x*scale;
            pt2.x = (r->x+r->width)*scale;
            pt1.y = r->y*scale;
            pt2.y = (r->y+r->height)*scale;

            // Draw the rectangle in the input image
            cvRectangle( img, pt1, pt2, CV_RGB(255,0,0), 3, 8, 0 );
        }
    }

    // Show the image in the window named "result"
    cvShowImage( "result", img );

    // Release the temp image created.
    cvReleaseImage( &temp );
}