Facial Recognition Market 2018 by Key Players, Production, Trends, Demands and Supply to 2025

(LegalLaw247.com, May 17, 2018 ) Global 3D Facial Recognition Market Professional Survey Report 2018

3D facial recognition is an end-to-end electronic process that ensures customer convenience and compliance with several security regulations. The increased use of mobile devices such as smartphones, tablets, and personal digital assistants in the healthcare industry, is influencing the development of several applications.

3D Facial Recognition is a modality of facial recognition methods in which the three-dimensional geometry of the human face is used. It has been shown that 3D Facial Recognition methods can achieve significantly higher accuracy than their 2D counterparts, rivaling fingerprint recognition.

3D Facial Recognition has the potential to achieve better accuracy than its 2D counterpart by measuring geometry of rigid features on the face. This avoids such pitfalls of 2D face recognition algorithms as change in lighting, different facial expressions, make-up and head orientation. Another approach is to use the 3D model to improve accuracy of traditional image based recognition by transforming the head into a known view. Additionally, most 3D scanners acquire both a 3D mesh and the corresponding texture. This allows combining the output of pure 3D matchers with the more traditional 2D face recognition algorithms, thus yielding better performance

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Top Manufacturers: 3M, NEC Technologies, Aware, Safran, Animetrics, Daon, Ayonix, Cognitec Systems, Keylemon, Nviso, ZK Teco, Aurora Computer Services, Crossmatch, Facefirst

Market Segment by Regions, regional analysis covers

North America

China

Europe

Southeast Asia

Japan

India

Market Segment by Type, covers

Hardware

Software Tools

Services

Market Segment by Applications, can be divided into

Banking & Finance

Consumer Electronics

Government & Defense

Healthcare

Commercial Security

Residential

Others

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The main technological limitation of 3D face recognition methods is the acquisition of 3D image, which usually requires a range camera. Alternatively, multiple images from different angles from a common camera may be used to create the 3D model with significant post-processing.3D face recognition is still an active research field, though several vendors offer commercial solutions.

Table of Content:

Global 3D Facial Recognition Market Professional Survey Report 2018

1 Industry Overview of 3D Facial Recognition

2 Manufacturing Cost Structure Analysis of 3D Facial Recognition

3 Technical Data and Manufacturing Plants Analysis of 3D Facial Recognition

4 Global 3D Facial Recognition Overall Market Overview

5 3D Facial Recognition Regional Market Analysis

6 Global 2013-2018E 3D Facial Recognition Segment Market Analysis (by Type)

7 Global 2013-2018E 3D Facial Recognition Segment Market Analysis (by Application)

8 Major Manufacturers Analysis of 3D Facial Recognition

8.1 3M

8.1.1 Company Profile

8.1.2 Product Picture and Specifications

8.1.2.1 Product A

8.1.2.2 Product B

8.1.3 3M 2017 3D Facial Recognition Sales, Ex-factory Price, Revenue, Gross Margin Analysis

8.1.4 3M 2017 3D Facial Recognition Business Region Distribution Analysis

8.2 NEC Technologies

8.2.1 Company Profile

8.2.2 Product Picture and Specifications

8.2.2.1 Product A

8.2.2.2 Product B

8.2.3 NEC Technologies 2017 3D Facial Recognition Sales, Ex-factory Price, Revenue, Gross Margin Analysis

8.2.4 NEC Technologies 2017 3D Facial Recognition Business Region Distribution Analysis

8.3 Aware

8.3.1 Company Profile

8.3.2 Product Picture and Specifications

8.3.2.1 Product A

8.3.2.2 Product B

8.3.3 Aware 2017 3D Facial Recognition Sales, Ex-factory Price, Revenue, Gross Margin Analysis

8.3.4 Aware 2017 3D Facial Recognition Business Region Distribution Analysis

9 Development Trend of Analysis of 3D Facial Recognition Market

10 3D Facial Recognition Marketing Type Analysis

11 Consumers Analysis of 3D Facial Recognition

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