Vector of all currently-active markers.

Adaptive smoothing reduces jitter in marker transformation matrices for markers with little motion, while maintaining responsiveness for markers with fast motion.

adaptiveSmoothingCenter is the marker motion distance (between current and last frame) at which the actual applied smoothing is equal to FLARManager.smoothing.

When a marker has moved less than adaptiveSmoothingCenter, smoothing increases; When a marker has moved more than adaptiveSmoothingCenter, smoothing decreases.

Reference to FLARCameraSource used in this application. If this application does not use a camera, returns null.

IFLARSource instance FLARManager is using as the source image for marker detection.

Set to true to detect inverted (white border) markers.

If inverted has not yet been set to true in this session, there will be a slight delay before inverted becomes true, while the inversion shader is loaded.

Thanks to Jim Alliban and Lee Brimelow for the inversion algorithm.

true if this FLARManager instance is active and currently performing marker detection.

If true, FLARManager will extrapolate the position of a FLARMarker from its velocity when last detected.

Extrapolation continues until markerRemovalDelay frames after trackerManager reports a marker removed.

Enabling markerExtrapolation can sometimes improve tracking during fast marker motion.

FLARManager uses markerMode and patternMode to determine how to handle detected markers. Acceptable values are FLARManager.TRACKING_MODE_SINGLE and FLARManager.TRACKING_MODE_MULTI.

The table below describes the effects of different settings for markerMode and patternMode.

Number of frames after removal that a marker will persist before dispatching a MARKER_REMOVED event.

If a marker of the same pattern appears within markerUpdateThreshold pixels of the point of removal, before markerRemovalDelay frames have elapsed, the marker will be reinstated as if it was never removed.

The default value is 1.

If a detected marker is within this distance (pixels) from an active marker, FLARManager considers the detected marker to be an update of the active marker. Else, the detected marker is a new marker.

Increase this value to accommodate faster-moving markers; Decrease it to accommodate more markers on-screen at once.

Set to true to flip the camera image horizontally; this value is passed on to this.flarSource.

Note that if an IFLARSource is specified after mirrorDisplay is set, the mirrored property of the new IFLARSource will overwrite this value.

FLARManager uses markerMode and patternMode to determine how to handle detected markers. Acceptable values are FLARManager.TRACKING_MODE_SINGLE and FLARManager.TRACKING_MODE_MULTI.

See also

The amount of blur applied to the source image before sending to tracker for image analysis / object detection. Higher values may increase framerate, but may also reduce detection accuracy.

Value must be zero or greater. The default value is 2.

IFLARMatrixSmoother to use to apply smoothing to transformation matrices generated by trackerManager.

Apply a smoothing algorithm to transformation matrices generated by trackerManager.

smoothing is equal to the number of frames over which FLARManager will average transformation matrices; the larger the number, the smoother the animation, and the slower the response time between marker position/orientation changes.

A value of 0 turns smoothing off.

Threshold applied to BitmapData before tracker analysis. Pixels in source image with a brightness <= to this.threshold are candidates for marker outline detection. defaults to 80 (values can range from 0 to 255).

IFLARThresholdAdapter used to automate threshold changes.

Adaptive thresholding can result in better marker detection across a range of illumination. This is desirable for applications with low lighting, or in which the developer has little control over lighting conditions, such as with web applications.

Note that when using FLARToolkit, adaptive thresholding may cause slower performance in very dark environments. This happens because a low threshold creates an image with large black areas, and images with a lot of black can cause slowdown in FLARToolkit's labeling process (FLARLabeling_BitmapData.labeling()). In this case, thresholdAdapter should be set to null.

The default threshold adapter is DrunkHistogramThresholdAdapter, but developers can implement their own algorithms for adaptive thresholding. To do so, implement the IThresholdAdapter interface.

String id of layer of FLARManager that interfaces with the selected tracking library.

The layer of FLARManager that interfaces with the selected tracking library. Exposed here to grant developers access to more control over tracker library parameters.

If true, FLARManager will output configuration changes to the console.

Current version of FLARManager.

Constructor.

Dispatches the following events: Event.COMPLETE: when the configuration xml is loaded and parsed. Event.INIT: when the trackerManager has initialized and FLARManager begins detecting markers. ErrorEvent.ERROR: in the case that configuration loading or parsing fails. ErrorEvent.ERROR: in the case that camera initialization fails.

Begin detecting markers once per frame. This method is called automatically on initialization.

Stop detecting markers. Removes all currently-active markers. ENTER_FRAME loop continues, to update video.

Halts all processes and frees this instance for garbage collection.

Get tracker projection matrix. Used to init cameras for 3D frameworks.

Parameters