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Latest International Face Recognition Test Result of Hisign
Date time:2019-04-12 17:39

Latest International Face Recognition Test Result of Hisign



1. FRVT 2013 TEST

The Face Recognition Vendor Test (FRVT) 2013 continues a series of large scale independent evaluations for face recognition systems. The primary goal of the FRVT 2013 is to measure advancements in the capabilities of prototype systems and algorithms from the commercial and academic communities. The FRVT 2013 aims to evaluate performance on several recognition tasks, including:

 

  One-to-many identification in a set of mugshot images

  One-to-one verification of visa images

  Multi-sample still facial imagery

  Recognition of persons in video sequences

  Twins

  90 degree profile-view

  Gender estimation (M/F)

  Age estimation (in years)

  Pose estimation

  Expression neutrality

 

We participated this test in the name of Beijing Ivsign Technology Co., Ltd. with assigned company letter code G (Hisign), and obtained a result of FNMR = 0.094 at FMR = 0.001.

Click here for Specific test report: "NIST_8009.pdf".

 

2. NIST FIVE TEST

 

The Face in Video Evaluation (FIVE) is being conducted to assess the capability of face recognition algorithms to correctly identify or ignore persons appearing in video sequences – i.e. the open-set identification problem. Both comparative and absolute accuracy measures are of interest, given the goals to determine which algorithms are most effective and whether any are viable for the following primary operational use-cases: 1. High volume screening of persons in the crowded spaces (e.g. an airport); 2. Low volume forensic examination of footage from a crime scene (e.g. a convenience store); 3. Persons in business meetings (e.g. for video-conferencing); and 4. Persons appearing in television footage.

Ranked # 4 of all 16 vendors in the NIST FIVE test.

 

Click here for Specific test report: "NIST.IR.8173.pdf".

 

 

3. FDDB FACE DETECTION TEST

 

Face Detection Data Set and Benchmark (FDDB), a data set of face regions designed for studying the problem of unconstrained face detection. This data set contains the annotations for 5171 faces in a set of 2845 images taken from the Faces in the Wild data set. The test is organized by Computer Science Department at the University of Massachusetts.

As of December 26, 2016,FDDB top 5 test results as shown below.


Related link at:Click here

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