Artoolkit Marker Generator
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package { //-------------------------------------- // Imports //-------------------------------------- import flash.display.BitmapData; import flash.display.Sprite; import flash.events.Event; import flash.media.Camera; import flash.media.Video; import flash.utils.ByteArray; import org.libspark.flartoolkit.core.FLARCode; import org.libspark.flartoolkit.core.param.FLARParam; import org.libspark.flartoolkit.core.raster.rgb.FLARRgbRaster_BitmapData; import org.libspark.flartoolkit.core.transmat.FLARTransMatResult; import org.libspark.flartoolkit.detector.FLARSingleMarkerDetector; import org.libspark.flartoolkit.pv3d.FLARBaseNode; import org.libspark.flartoolkit.pv3d.FLARCamera3D; import org.papervision3d.lights.PointLight3D; import org.papervision3d.materials.shadematerials.FlatShadeMaterial; import org.papervision3d.materials.utils.MaterialsList; import org.papervision3d.objects.parsers.DAE; import org.papervision3d.objects.primitives.Cube; import org.papervision3d.render.BasicRenderEngine; import org.papervision3d.scenes.Scene3D; import org.papervision3d.view.Viewport3D; //-------------------------------------- // Class Definition //-------------------------------------- public class AugmentedReality extends Sprite { //-------------------------------------- // Class Properties //-------------------------------------- // 1. WebCam private var video : Video; private var webcam : Camera; // 2. FLAR Marker Detection private var flarBaseNode : FLARBaseNode; private var flarParam : FLARParam; private var flarCode : FLARCode; private var flarRgbRaster_BitmapData : FLARRgbRaster_BitmapData; private var flarSingleMarkerDetector : FLARSingleMarkerDetector; private var flarCamera3D : FLARCamera3D; private var flarTransMatResult : FLARTransMatResult; private var bitmapData : BitmapData; private var FLAR_CODE_SIZE : uint = 16; private var MARKER_WIDTH : uint = 80; [Embed(source='./assets/FLAR/FLARPattern.pat', mimeType='application/octet-stream')] private var Pattern : Class; [Embed(source='./assets/FLAR/FLARCameraParameters.dat', mimeType='application/octet-stream')] private var Params : Class; // 3. PaperVision3D private var basicRenderEngine : BasicRenderEngine; private var viewport3D : Viewport3D; private var scene3D : Scene3D; private var collada3DModel : DAE; // Fun, Editable Properties private var VIDEO_WIDTH : Number = 640; //Set 100 to 1000 to set width of screen private var VIDEO_HEIGHT : Number = 480; //Set 100 to 1000 to set height of screen private var WEB_CAMERA_WIDTH : Number = VIDEO_WIDTH/2; //Smaller than video runs faster private var WEB_CAMERA_HEIGHT : Number = VIDEO_HEIGHT/2; //Smaller than video runs faster private var VIDEO_FRAME_RATE : Number = 30; //Set 5 to 30. Higher values = smoother video private var DETECTION_THRESHOLD : uint = 80; //Set 50 to 100. Set to detect marker more accurately. private var DETECTION_CONFIDENCE : Number = 0.5; //Set 0.1 to 1. Set to detect marker more accurately. private var MODEL_SCALE : Number = 0.8; //Set 0.1 to 5. Set higher to enlarge model // Fun, Editable Properties: Load a Different Model private var COLLADA_3D_MODEL : String = './assets/models/licensed/hummer/models/hummer.dae'; //-------------------------------------- // Constructor //-------------------------------------- /** * The constructor is the ideal place * for project setup since it only runs once. * Prepare A,B, & C before repeatedly running D. **/ public function AugmentedReality() { //Prepare prepareWebCam(); //Step A prepareMarkerDetection(); //Step B preparePaperVision3D(); //Step C // Repeatedly call the loop method // to detect and adjust the 3D model. addEventListener(Event.ENTER_FRAME, loopToDetectMarkerAndUpdate3D); //Step D } //-------------------------------------- // Methods //-------------------------------------- /** * A. Access the user's webcam, wire it * to a video object, and display the * video onscreen. **/ private function prepareWebCam() : void { video = new Video(VIDEO_WIDTH, VIDEO_HEIGHT); webcam = Camera.getCamera(); webcam.setMode(WEB_CAMERA_WIDTH, WEB_CAMERA_HEIGHT, VIDEO_FRAME_RATE); video.attachCamera(webcam); addChild(video); } /** * B. Prepare the FLAR tools to detect with * parameters, the marker pattern, and * a BitmapData object to hold the information * of the most recent webcam still-frame. **/ private function prepareMarkerDetection() : void { // The parameters file corrects imperfections // In the webcam's image. The pattern file // defines the marker graphic for detection // by the FLAR tools. flarParam = new FLARParam(); flarParam.loadARParam(new Params() as ByteArray); flarCode = new FLARCode(FLAR_CODE_SIZE, FLAR_CODE_SIZE); flarCode.loadARPatt(new Pattern()); // A BitmapData is Flash's version of a JPG image in memory. // FLAR studies this image every frame with its // marker-detection code. bitmapData = new BitmapData(VIDEO_WIDTH, VIDEO_HEIGHT); bitmapData.draw(video); flarRgbRaster_BitmapData = new FLARRgbRaster_BitmapData(bitmapData); flarSingleMarkerDetector = new FLARSingleMarkerDetector(flarParam, flarCode, MARKER_WIDTH); } /** * C. Create PaperVision3D's 3D tools including * a scene, a base node container to hold the * 3D Model, and the loaded 3D model itself. **/ private function preparePaperVision3D() : void { // Basics of the empty 3D scene fit for // FLAR detection inside a 3D render engine. basicRenderEngine = new BasicRenderEngine(); flarTransMatResult = new FLARTransMatResult(); viewport3D = new Viewport3D(); flarCamera3D = new FLARCamera3D(flarParam); flarBaseNode = new FLARBaseNode(); scene3D = new Scene3D(); scene3D.addChild(flarBaseNode); // Load, scale, and position the model // The position and rotation will be // adjusted later in method D below. collada3DModel = new DAE(); collada3DModel.load(COLLADA_3D_MODEL); collada3DModel.scaleX = collada3DModel.scaleY = collada3DModel.scaleZ = MODEL_SCALE; collada3DModel.z = 5; //Moves Model 'Up' a Line Perpendicular to Marker collada3DModel.rotationX = -90; //Rotates Model Around 2D X-Axis of Marker collada3DModel.rotationY = 180; //Rotates Model Around 2D Y-Axis of Marker collada3DModel.rotationZ = 90; //Rotates Model Around a Line Perpendicular to Marker // Add the 3D model into the // FLAR container and add the // 3D cameras view to the screen // so the user can view the result flarBaseNode.addChild(collada3DModel); addChild(viewport3D); } /** * D. Detect the marker in the webcamera. * If found: move, scale, and rotate the * 3D model to composite it over the marker * in the user's physical space. **/ private function loopToDetectMarkerAndUpdate3D(aEvent : Event) : void { // Copy the latest still-frame of the webcam video // into the BitmapData object for detection bitmapData.draw(video); try { // Detect *IF* the marker is found in the latest still-frame if(flarSingleMarkerDetector.detectMarkerLite(flarRgbRaster_BitmapData, DETECTION_THRESHOLD) && flarSingleMarkerDetector.getConfidence() > DETECTION_CONFIDENCE) { // Repeatedly Loop and Adjust 3D Model to Match Marker flarSingleMarkerDetector.getTransformMatrix(flarTransMatResult); flarBaseNode.setTransformMatrix(flarTransMatResult); basicRenderEngine.renderScene(scene3D, flarCamera3D, viewport3D); } } catch(error : Error) {} } } }In addition, I wanted to be able to provide a uniform look to the markers without needed to generate each one. Available options are vuforia and artoolkit. Open ARToolKit Marker Generator Online Multi. Set segments and marker size. Point your webcam at the printed markers. Push “Get Pattern” button when a red line encloses the markers. And go “save mode”.
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Norcal QRP VE3DNL Marker Generator manual in PDF format