every Day

[gimsech]

All QR-Codes

I startet a tumblr to deal with QR-Codes. My aim is it to reseach the use of good possible applications for them and to show good and bad cases of using them.

[gimsech]

Today I tried skanect and hooked up my Kinect. My PC is to slow to process the data properly. But still: I did scan a chair.

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Another one from 2011. I forgot how beautifully the simple things can be. You could easily spend a few hours with a camera, a sheet of Paper and a photolamp.

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One picture I really like. I did this in 2011.

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The whole the Photographer Project!

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The whole BadNinja Project!

[gimsech]

Promised Sneak Video of the Bad Ninja @betahaus

Thanks to betahaus! // → Thanks to // // Prof Michael Zöllner // Andreas Dahrendorf // Matt Belbin // Yu Watanabe // betahaus // cloud www.cloud-film.de

[gimsech]

A second picture from my interactive Installation. The Prototype was shown in betahaus in Berlin. Thanks to cloud! Done with a Kinect and Processing. Videos follow. Picture done with a Polaroid SX-70 Land Cameraa Alpha. // → Thanks to // // Prof Michael Zöllner // Andreas Dahrendorf // Matt Belbin // Yu Watanabe // betahaus

[gimsech]

A picture from my interactive Installation. The Prototype was shown in betahaus in Berlin. Thanks to cloud! Done with a Kinect and Processing. Videos follow. Picture done with a Polaroid SX-70 Land Cameraa Alpha. // → Thanks to // // Prof Michael Zöllner // Andreas Dahrendorf // Matt Belbin // Yu Watanabe // betahaus

[gimsech]

Facetracking via Processing, Kinect, Infrared, openNI and openCV. Live Processing and Face recognition.

<processing>

// // Bad Ninja // v 0.3 - 29.01.2013 // Idea Philipp Suess // www.gimsech.de // Processing Sketch by Philipp Suess // // Keywords // processing.org, processing, video, installation, interactive, openCV, p5 // // Thanks to // Prof Michael Zöllner // Andreas Dahrendorf // Matt Belbin // Yu Watanabe // // Credits Code Snipets // OpenCV Processing Example // // Needed: // Software // OpenCV Library → http://ubaa.net/shared/processing/opencv/ // OpenNI Library + Drivers // // Hardware // PC or Mac // Kinect // // Files // 0 // import SimpleOpenNI.*; import hypermedia.video.*; import java.awt.Rectangle; SimpleOpenNI  context; OpenCV opencv; void setup() {   context = new SimpleOpenNI(this);   opencv = new OpenCV( this );   // enable ir generation   if (context.enableIR() == false)   {     println("Can't open the depthMap, maybe the camera is not connected!");     exit();     return;   }   background(255);   opencv.allocate(640, 480);   // set Window Size   size(context.irWidth(), context.irHeight());   // load detection description, here-> front face detection : "haarcascade_frontalface_alt.xml"   opencv.cascade( OpenCV.CASCADE_FRONTALFACE_ALT ); } public void stop() {   opencv.stop();   super.stop(); } void draw() {   // update the cam   context.update();   // load Kinect to OpenCV, thanks to http://thefactoryfactory.com/wordpress/?p=1012   opencv.copy(context.irImage(), 0, 0, 640, 480, 0, 0, 640, 480);   // proceed detection   Rectangle[] faces = opencv.detect( 1.2, 2, OpenCV.HAAR_DO_CANNY_PRUNING, 40, 40 );   // display the openCV image   image(opencv.image(), 0, 0, 640, 480);   // draw squares for detected faces   noFill();   stroke(255, 0, 0);   for ( int i=0; i<faces.length; i++ ) {     rect( faces[i].x, faces[i].y, faces[i].width, faces[i].height );   } }

</processing>

[gimsech]

Sneak

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Augumented Reality

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Done with a Polaroid SX-70 Land Camera Alpha

With an impossible film.

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Done with a Polaroid SX-70, Land Camera Model 3

With an impossible film.

[gimsech]

It's nice to go on with the same project, so I decided to go on with this: http://gimsech.tumblr.com/post/32277999309/summit-of-newthinking The previous version of the processing script did follow my mouse, so I wanted to try, what happens if a MP3 is controlling everything.

As a libary I didn't want to use a exotic one, so I did choose minim.

Now the sound controls the position of the triangels.

As a song I did choose a free CC-Song: Lohstana_David_-_Bucolique_Utopiste_-_INSTRUMENTAL_VERSION

I'm not satisfied.

Script -----

import processing.video.*; import ddf.minim.*; import ddf.minim.analysis.*; Capture cam; Minim minim; AudioPlayer song; FFT fft; float A, B; void setup(){   size(960,960);   smooth();   noStroke();   cam = new Capture(this, 1280, 960);   cam.start();   minim = new Minim(this);   song = minim.loadFile("Sail.mp3", 512);   song.play();     fft = new FFT(song.bufferSize(), song.sampleRate());   } void draw(){     if (cam.available()) {     cam.read();   }    fft.forward(song.mix); for(int i = 0; i < song.bufferSize() - 1; i++) {  A = width-song.left.get(i)*500;  B = height-song.right.get(i)*500; }     image(cam,0,0);  //gelb  fill(187,178,0,MULTIPLY);  triangle(0, 0, 0, 300, A, B);    // rosa  fill(179,54,86,MULTIPLY);  triangle(width, height, 0, height, width, B);    //grün  fill(72,124,141,MULTIPLY);  triangle(0, 0, width, 0, width, B);    // lila  fill(119,82,132,MULTIPLY);  triangle(0, height, width, height, 0, B);    //blau  fill(10,130,178,MULTIPLY);  triangle(0, 0, 0, height, A, 0); } void mouseClicked() {   saveFrame(); } void stop() { song.close(); minim.stop(); super.stop(); }