Method and system for verifying facial data

A data verification and data technology, applied in the field of face data verification, can solve the problems of insufficient diversity of source data, difficulty in re-collecting training data and rebuilding models, etc., to achieve the effect of avoiding computing costs and efficient computing

Inactive Publication Date: 2017-05-10
HUAWEI TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Difficult to recollect necessary training data and rebuild models in new scenarios
Moreover, there is usually not enough training data in the specified targe

Method used

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  • Method and system for verifying facial data
  • Method and system for verifying facial data
  • Method and system for verifying facial data

Examples

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Example Embodiment

[0031] Reference will now be made in detail to exemplary embodiments, examples of which are shown in the drawings. Where appropriate, the same reference numbers are used in the drawings to refer to the same or similar parts. figure 1 It is a schematic diagram of an exemplary apparatus 1000 for facial data verification according to some disclosed embodiments.

[0032] It should be recognized that the device 1000 may be implemented using certain hardware, software, or a combination thereof. In addition, the embodiments of the present invention may be applicable to computer program products located on one or more computer-readable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer program codes.

[0033] When the device 1000 is implemented by software, the device 1000 may include a general-purpose computer, a computer cluster, a mainstream computer, a computing device dedicated to providing online content, or a computer network...

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Abstract

Disclosed are a method for verifying facial data and a system thereof. The method comprises a step of retrieving a plurality of source-domain datasets from a first database and a target-domain dataset from a second database different from the first database; a step of determining a latent subspace matching with target-domain dataset best, and a posterior distribution for the determined latent subspace from the target-domain dataset and the source-domain datasets; a step of determining information shared between the target-domain data and the source-domain datasets; and a step of establishing a Multi-Task learning model from the posterior distribution P, and the shared information M on the target-domain dataset and the source-domain datasets.

Description

technical field [0001] The invention relates to a method and system for verifying face data. Background technique [0002] Face verification, the task of determining whether a pair of face images are from the same person, has been an active research topic in computer vision for decades. It has many important applications, including monitoring of personal computers or mobile devices, access control, image acquisition, and automatic login. However, various visual clutters degrade the performance of face verification. This is especially demonstrated by many studies on real face images in nature. [0003] Modern face verification methods are mainly divided into two categories: extracting underlying features and building classification models. Although these existing methods have achieved great progress in face verification, most of them lack flexibility when dealing with complex data distributions. For methods in the first category, the underlying features are handcrafted, a...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06N20/10
CPCG06N20/00G06F16/5838G06N20/10G06V40/172G06V10/806G06V10/7715G06N7/01G06F18/213G06F18/253G06F18/23
Inventor 汤晓鸥陆超超
Owner HUAWEI TECH CO LTD
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