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Version: 3.17.4

Components

Face SDK consists of components which are used to perform the main functional tasks: detection, estimation of faces and human pose, facial recognition and processing of video streams. Face SDK components are implemented as Face SDK API objects and/or processing blocks of Processing Block API.

Detection of Faces, Bodies and Objects​

Face Detector​

Face Detector is a component for detecting faces in images. The result of the component's work is a list of detected faces with the following attributes:

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note

For face detection on videos or time-ordered image sequences, we reccomend that you use Video Engine.

Body Detector​

Body Detector is used to detect human bodies in images, which increases the possibility of detecting people in the frame even when the faces are not visible.

The detection result is a bbox that surrounds the detected body.

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Object Detector​

Object Detector is used to detect multiple various objects in images.

The detection result is a bbox around the detected object with object class: "body", "bicycle", "car", "motorcycle", "bus", "train", "truck", "traffic_light", "fire_hydrant", "stop_sign", "bird", "cat", "dog", "horse", "sheep", "cow", "bear", "backpack", "umbrella", "handbag", "suitcase", "sports_ball", "baseball_bat", "skateboard", "tennis_racket", "bottle", "wine_glass", "cup", "fork", "knife", "laptop", "phone", "book", "scissors".

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Estimation of Faces and Human Pose​

Face SDK provides a set of tools for estimating images received from Face Detector component.

Gender-Age Estimator​

Gender-Age Estimator is used for estimating the gender and age of people by using their face images.

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Emotions Estimator​

Emotions Estimator is used for estimating the prevailing emotional state of a person:

  • Happy
  • Surprised
  • Neutral
  • Angry
  • Disgusted
  • Sad
  • Scared

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Quality Estimator​

Quality Estimator is used to estimate the quality of a face in the image. The result is a list of the detected human faces with a detailed quality score.

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Mask Estimator​

Mask Estimator determines the presence/absence of a mask in the face image.

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Eyes Openness Estimator​

Eyes Openness Estimator is used for estimating the eyes’ state on the face image. This component provides the verdict “open” or “closed” for the right and left eye.

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Liveness Estimators​

Liveness components are used to assess whether the face detected in the image or in video is real or fake. These components protect against malicious actions (spoofing attacks) using printed face image, a photo or video of a face from the screens of mobile devices and monitors, as well as various kinds of masks (paper, silicone, etc.).

Active Liveness Estimator analyzes certain human actions according to the check script, for example: “blink”, “smile”, “turn your head”.

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2D / RGB Liveness Estimator assesses the liveness of a face in an RGB image. To perform the check, the appearance of the face in the field of view of the camera is sufficient.

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3D / Depth Liveness Estimator protects against attempts to use an image instead of a real face by analyzing the face surface using a depth map obtained from a 3D (RGBD) sensor.

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IR Liveness Estimator determines the reality of a human face based on an image taken from an infrared camera, combined with a color image.

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Human Pose Estimator​

Human Pose Estimator is a component used to estimate human body skeleton keypoints in the image.

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Facial Recognition​

Face SDK provides components and algorithms to recognize faces. This functionality is based on the operations with a biometric face template.

Encoder​

Encoder extracts biometric face template from a face image received from Face Detector.

A biometric face template is a unique set of biometric features extracted from a face image. Templates are used to compare two face images and to determine a degree of their similarity.

A biometric face template has the following key characteristics:

  • It does not contain personal data
  • It cannot be used to restore a face image
  • It can be serialized and saved to file, database, or sent over a network
  • It can be indexed. That helps accelerate face template matching by using a special index for face template batch.
Face SDK has several algorithms with different characteristics of speed and accuracy for all possible use cases - from low-powered embedded devices to expert face recognition systems.

Extracting a biometric template is one of the most computation-heavy operations, so Face SDK provides the ability to use a GPU accelerator to increase performance.

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Matcher​

Matcher allows performing the following comparison operations with templates created by Encoder:

  • verification 1:1 - comparing of two biometric templates (faces) between each other, estimating of coincidence
  • identification 1:N - comparing of one biometric template (face) with other templates (faces), searching and estimating of coincidence

When comparing face templates, Matcher calculates the difference between biometric features of faces. The calculation result is a measure of coincidence between face images and the probability of belonging to one person.

Templates, extracted using different algorithms, have different properties and cannot be compared with each other.

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Video Stream Processing​

Video Engine​

Video Engine is used for real-time processing of video streams. This component solves the following tasks:

  • face detection and tracking
  • face recognition (optional)
  • Liveness checking (optional)
  • estimation of age, gender, and emotions (optional)

Video Engine works in a multi-stream mode. Each stream is a sequence of images (frames) obtained from one source (for example, a camera or video).

All streams are processed by Video Engine at the same time. Streams, frames, and detected faces in the frame are assigned their own identifiers. During face tracking, on the sequence of stream images a face track is formed, which is also indicated by its own ID (track_id).

The set of identifiers allows you to accurately track the generated events for each stream. To handle the events, Video Engine implements a callback interface that provides event data.

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