FacePad class

Detects presentation attacks in still images or video frames.

Implemented types

Constructors

FacePad()
Creates a new instance of the FacePad class.
FacePad.fromHandle(Pointer<id3FacePad> handle)
Creates a new instance of the FacePad class.

Properties

attackSupportDetectorConfidenceThreshold ↔ int
Attack support detector confidence threshold, in the range 0;100. Hint: Default value is 25. Note: Setting a high threshold reduces false attack support detections but can increase the number of undetected attack supports.
getter/setter pair
handle → Pointer<id3FacePad>
Gets the native handle. return The native handle.
no setter
hashCode → int
The hash code for this object.
no setterinherited
runtimeType → Type
A representation of the runtime type of the object.
no setterinherited

Methods

computeBlurrinessScore(Image image, DetectedFace detectedFace) → int
Computes a blurriness score for a color image. An attack presented on a low resolution support has more chance to be blurred than a bonafide. The maximum recommended value is 20. Important: Loading the model FaceBlurrinessDetector is required to use this function.
computeColorBasedScore(Image image, DetectedFace detectedFace) → ColorBasedPadResult
Computes the PAD score and confidence of a detected face using only the color image. A high score means a high probability for the face to be bona-fide, hence not an attack. The minimum recommended score is 90. A low confidence means that the quality of the image is not sufficient enough to take a decision. The minimum recommended confidence is 70. Warning: A minimum IOD (64 pixels per default) for the detected face is required for this function, below this value it will output an error. Important: Loading the FaceColorBasedPad model is required to use this function.
computeDepthBasedScore(Image image, DetectedFace detectedFace) → int
Computes the PAD score of a detected face using a depth map image. A high score means a high probability for the face to be bona-fide, hence not an attack. The minimum recommended value is 10. Important: Loading the FaceDepthBasedPad model is required to use this function.
detectAttackSupport(Image image, DetectedFace detectedFace) → DetectedFaceAttackSupport
Detects if an attack support surrounds the detected face. The recommended usage is to consider the image to be an attack as soon as an attack support is detected. Important: Loading the FaceAttackSupportDetector model is required to use this function.
dispose() → void
Releases all resources used by this FacePad.
getAttackSupportDetectorConfidenceThreshold() → int
Gets the attack support detector confidence threshold, in the range (0;100). Hint: Default value is 25. Note: Setting a high threshold reduces false attack support detections but can increase the number of undetected attack supports.
noSuchMethod(Invocation invocation) → dynamic
Invoked when a nonexistent method or property is accessed.
inherited
setAttackSupportDetectorConfidenceThreshold(int attackSupportDetectorConfidenceThreshold) → void
Sets the attack support detector confidence threshold, in the range (0;100). Hint: Default value is 25. Note: Setting a high threshold reduces false attack support detections but can increase the number of undetected attack supports.
toString() → String
A string representation of this object.
inherited

Operators

operator ==(Object other) → bool
The equality operator.
inherited