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3DiVi Face SDK Accuracy
NIST FRVT 1:1 Performance Summary
VISA - Full Frontal image type. The images are of size 252x300 pixels. The mean interocular distance (IOD) is 69 pixels.
Mugshot - Full Frontal image type. The images are of variable sizes. The mean IOD is 113 pixels.
Border - The images are taken with a camera oriented by an attendant toward a cooperating subject. This is done under time constraints so there are role, pitch and yaw angle variations. Also background illumination is sometimes strong, so the face is under-exposed. There is some perspective distortion due to close range images. Some faces are partially cropped.
Wild - The images include many photojournalism-style images. Resolution varies very widely. The images are very unconstrained, with wide yaw and pitch pose variation. Faces can be occluded, including hair and hands.
Mugshot - Full Frontal image type. The images are of variable sizes. The mean IOD is 113 pixels.
Border - The images are taken with a camera oriented by an attendant toward a cooperating subject. This is done under time constraints so there are role, pitch and yaw angle variations. Also background illumination is sometimes strong, so the face is under-exposed. There is some perspective distortion due to close range images. Some faces are partially cropped.
Wild - The images include many photojournalism-style images. Resolution varies very widely. The images are very unconstrained, with wide yaw and pitch pose variation. Faces can be occluded, including hair and hands.
3DiVi Face SDK Accuracy (TAR, %)
For different algorithms (methods)
Memory Characteristics
* – the amount of memory consumed does not depend on the number of the Recognizer objects created by this method
** – memory consumption when processing_less_memory_consumption was set to true in the FacerecService.createRecognizer call for recognizer creation
** – memory consumption when processing_less_memory_consumption was set to true in the FacerecService.createRecognizer call for recognizer creation
Performance parameters
For Desktop
For Mobile
Note: Google Pixel 3 was used for the speed test.
Accuracy of Face Attributes Detection
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© All Rights Reserved. 3DiVi Inc.
340 S Lemon Ave #3430 Walnut, CA 91789
United States
© All Rights Reserved. 3DiVi Inc.
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