User:Chen Junyu/Prototyping/Lens based/Trim2/KINECT

"Grandma"

• SUMMARY

The first idea of the kinect project is to get photos of Chinese women born in the same year -1929 in different age as resource to make sequence scrubber . There are two reasons why I choose this year : one is that it was the year which my grandma born, and she passed away in the beginning of this year, therefore I took her photo as the last one in the sequence-which means the end of their generation ; another reason is as women born in late 20s, they have totally different experience as ours -- the Republic of China era to the People's Republic of China era, the the Great Leap Forward and 10-year cultural revolution ，most of them suffered at the first half of their life. To get these photos , I use Wiki Category to trace people born in the certain year . But there is a problem , the women I found from wiki , most of them are celebrities who live in the upper class . Since their face reflects their state of mind and events they encountered, the samples I got probably are too invariable. I would like to get more multifarious samples ,so I tried another way to search. By using Flickr as the target resource website, I got women's photos in different ages by keywords [ ages , grandma ] such as (30s, grandma) . The results I got here are much meaningful than using Wiki Category.

• DISADVANTAGE

The results I got from Flickr were not so precise-their birth years were uncern , probably from 1910s to 1950s. The bigger time span lead the topic of this project to a more vague situation.

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• Video

• Code

The code controls kinect to play certain photo by the distance between the position people stand to the camera. import SimpleOpenNI.*; import java.awt.Color; import java.util.Iterator;

SingleUserKinect kinect;

PVector userPosRealWorld = new PVector(); // 3d user position boolean USE_KINECT = false;


float comZ; // Center of Mass Z //CHENJUNYU, change the values below according to the distance you want to use float minZ = 100; float maxZ = 2500;

//CHENJUNYU, change the value below depending on how many image files you have int numImages = 44; // total number of images

PImage[] images = new PImage[numImages]; // the images will be stored in this list

// setup is executed once, when the program started void setup() {

 // size of the window
 //size(400,400);// use size "(displayWidth, displayHeight)" for fullscreen  
 //size(displayWidth, displayHeight);
 size(256,256);//CHENJUNYU, change the values here too. Don't use values that are too big or you'll have performance issues. You can also try using size(displayWidth, displayHeight); (just uncomment the line above and comment this one)

 // set frame background to black (this is the background you'll see in Present Mode)
 frame.setBackground(new Color(0, 0, 0));
 // load the image sequence
 loadImageSequence();

 // user SingleUserKinect for tracking.
 kinect = new SingleUserKinect(this);

}

// draw is repeatedly executed, as fast as possible, or according to frameRate setting void draw() {

 // update user position
 kinect.update();

 // set center of mass to the maximum value
 float comZ = maxZ;

 // if we are tracking a user, get the position of his Center of Mass  
 if (kinect.trackedUserId != 0) { 
   kinect.getCoM(userPosRealWorld);    
   comZ = userPosRealWorld.z;
   if (comZ > maxZ) {
     comZ = maxZ;
   }
   else if (comZ < minZ) {
     comZ = minZ;
   }
 }

 // map x position to an image in the sequence
 float maxRange = maxZ - minZ; // total range
 int slice_size = (int)maxRange/images.length; //1000 / 100 = 10
 float z = map(comZ, minZ, maxZ, 0, maxRange); // map center of mass to a positive range
 int slice = (int)(z / slice_size); //0 / 10 = 0
 if (slice >= numImages) slice = numImages-1;

 println("slice " + slice);
 // draw the image
 image(images[slice], 0, 0, width, height);

}

// load the image sequence void loadImageSequence() {

 String filename = "";

 for (int i = 0; i < numImages; i++) {

//CHENJUNYU, change the filename according to the ones you have. I put my files inside folder data/export.

   filename = "headtrack/" +nf(i, 3) + ".jpg";   
   images[i] = loadImage(filename);
 }

}

// ----------------------------------------------------------------- // SimpleOpenNI user events // ----------------------------------------------------------------- // onNewUser is triggered when the kinect registers a new user void onNewUser(SimpleOpenNI curContext, int userId) {

 // let our SingleUserKinect Class take care of this
 kinect.registerNewUser(curContext, userId);

}

// onLostUser is triggered when the kinect deregisters a user void onLostUser(SimpleOpenNI curContext, int userId) {

 // let our SingleUserKinect Class take care of this
 kinect.deRegisterUser(curContext, userId);

}