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Face Recognition Data Search Tool

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COMP6703 PRESENTATION Face Recognition Data Search Tool Supervisor: Professor Tom Gedeon Presented by Yan Gao u2581609 Table of Content Introduction 1.1 Project ... – PowerPoint PPT presentation

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Title: Face Recognition Data Search Tool


1
Face Recognition Data Search Tool
  • COMP6703 PRESENTATION

Supervisor Professor Tom Gedeon
Presented by Yan Gao u2581609
2
Table of Content
  • Introduction
  • 1.1 Project Description
  • 1.2 Project Learning Objects
  • 2. Analysis of Requirement
  • 2.1 Requirement Overview
  • 2.2 Requirement in Details
  • 3. Draft Timetable

3
Introduction
  • Project Description
  • Over the last ten years or so, face
    recognition has become a popular area of research
    in computer vision. In this project, we use face
    image data from prior project tool (designed by
    Mingtao Sun), construct a tool to assist a
    researcher in finding parts of images (conditions
    of pixels) which are useful for face recognition.

4
Introduction
  • Project Learning Objects
  • --- Learn about some face recognition
    theories.
  • --- Construction of a tool with good user
    interface.

5
Analysis of Requirement
  • Requirement Overview
  • The software is designed as a tool with user
    interface of face recognition data search tool,
    which is possible for users to set the search
    condition by themselves, and the software is able
    to search rapidly through a large number of
    images in database directory, and keep records of
    any occurrence of a condition.

6
Analysis of Requirement
  • Requirement in Details
  • R1. Users are able to set the search condition
    (normally it is an x pixels weight and y pixels
    height domain less then the size of a face on an
    image).
  • R2. The search condition, which can be moved
    easily, is used by users to choose a pixel domain
    on a face image.

7
Analysis of Requirement
  • Requirement in Details
  • R3. The software does a search through a large
    number of images in database directory, and the
    result of different occurrence of a definition
    should be collected and recorded.
  • R4. The search through face images should be
    rapid.
  • R5. A further use case is about collecting and
    displaying search times. Display search times as
    a function of condition size, and estimating the
    search time.

8
Draft Time Table
9
  • THANK YOU !!!
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