Binocular Liveness Detection
Binocular liveness Detection Interface
Windows/Linux/Arm_Linux interface is described here, for Android interface please refer to Android interface description.
stid_facepro_binocular_anti_spoofing_create_handle
Function: Create a handle by loading a specified model file.
Declaration:
Parameters:
[in] model_filename: Pass the location of the model file.
[out] out_handle: Return the initialized handle, when not in use, call stid_face_anti_spoofing_destroy_handle to release resource.
Return:
[return] Return STID_OK if successful, otherwise return error code.
stid_facepro_binocular_anti_spoofing_destroy_handle
Function: Release handle.
Declaration:
Parameters:
[in] handle: Handle to be released.
Return: None.
stid_facepro_binocular_anti_spoofing_detect
Function: Anti-hack face detection on input images.
Declaration:
Parameters:
[in] infrared_input_image: Input one frame of image from a near-infrared camera, support up, down, left and right orientations. Facing up is recommended for better performance.
[in] rgb_input_landmarks: Face key points.
[in] infrared_input_landmarks: Face key points.
[out] out_hack_score: Return hack detection result, ranging from 0 to 1. A larger score indicates a higher possibility of hack.
Return:
[return]Return STID_OK if successful, otherwise return error code.
stid_facepro_binocular_anti_spoofing_get_default_hackness_threshold
Function: Obtain default threshold for hack detection.
Declaration:
Parameters:
[in] handle: Initialized handle.
[out] out_default_hackness_threshold: Return anti-hack detection threshold, when the hackness_score < this threshold, the anti-hack detection is passed.
Return:
[return] Return STID_OK if successful, otherwise return error code.
Last updated