pbio Namespace Reference

C++ interface. More...

Classes
class	ActiveLiveness
class	AgeGenderEstimator
	Interface object for age and gender estimation. More...
class	CameraCalibrator
	Interface object for camera calibration and correction of image distortion. More...
class	Capturer
	Interface object for detecting or tracking of faces in the images or video sequences. More...
class	Config
	A class used to override the configuration parameters at runtime. More...
class	Context
class	ContextRef
class	DepthLivenessEstimator
	Interface object used to estimate face liveness in order to prevent spoofing attacks. More...
struct	DepthMapRaw
	A depth map aligned with the original color image. Correspondence between the coordinates of the original image and depth map is as follows:     let (x; y) be a point on the depth map, then a corresponding point on the original image is     (depth_map_2_image_offset_x + depth_map_2_image_scale_x * x; depth_map_2_image_offset_y + depth_map_2_image_scale_y * y). More...
class	EmotionsEstimator
	Interface object for estimation of emotions. More...
class	Error
	The class of exceptions thrown when errors occur. More...
class	CVRawImage
	Example of implementation of the pbio::IRawImage interface via OpenCV. More...
class	FaceAttributesEstimator
	Interface object used to estimate attributes of the face. More...
class	FaceQualityEstimator
	Interface object for sample quality estimation. More...
class	FacerecService
	Interface object for creating other interface objects. More...
class	InternalImageBuffer
	Interface object that stores image data. Always create new InternalImageBuffer for every image or video frame. Never change image data of InternalImageBuffer after first use. More...
class	IRawImage
	Raw image interface. To use this interface, you need to inherit it and create your own implementation for a specific image type. See an example of implementation in pbio/example/CVRawImage.h. More...
struct	IRFrameRaw
	An IR frame aligned with an original color image. Correspondence between the coordinates of the original image and the IR frame is as follows:     let (x; y) be a point on the IR frame, then a corresponding point on the original image is     (ir_frame_2_image_offset_x + ir_frame_image_2_scale_x * x; ir_frame_2_image_offset_y + ir_frame_2_image_scale_y * y). More...
class	IRLivenessEstimator
	Interface object used to estimate face liveness in order to prevent spoofing attacks. More...
class	Liveness2DEstimator
	Interface object used to estimate face liveness in order to prevent spoofing attacks. More...
class	LivenessEstimator
	Interface object used to estimate face liveness to prevent spoofing attacks. More...
struct	Point
	3D point. More...
class	ProcessingBlock
	Interface object used to work with estimators from Processing Block API. More...
class	QualityEstimator
	Interface object used to estimate sample quality. More...
struct	RawImage
	Struct that provides raw image data and optional cropping information. More...
class	RawSample
	Interface object that stores a captured face sample. More...
class	Recognizer
	Interface object for creating and matching templates. More...
struct	Rectangle
	Rectangle in an image. More...
struct	SampleCheckStatus
	The result of some kind of sample checking. More...
class	HeavySmartPtr
class	SmartPtr
class	LightSmartPtr
struct	StructStorageFields
class	Template
	Interface object for saving the face template. More...
class	TemplatesIndex
	Interface object for working with the template index. More...
class	VideoWorker
	VideoWorker is an interface object for tracking, processing and matching faces on multiple video streams. We recommend you to use VideoWorker instead of Capturer for face tracking on video streams. When VideoWorker is created with matching_thread=0 and processing_thread=0, then the standard Capturer license is used. More...

Typedefs
typedef LightSmartPtr < import::DllHandle >::tPtr	DHPtr

Functions
void	tdvCheckException (const DHPtr &dll_handle, ContextEH *&out_exception)

Detailed Description

C++ interface.