Face Verification with Statistical Models of Shape and Appearance

Description

Download Face Verification with Statistical Models of Shape and Appearance. Political Science students who are writing their projects can get this material to aid their research work.

Abstract

Research in computer vision and machine learning is a significant part of research in computer science departments of many leading institutions resulting in ideas and products that have direct applications in different industries such as medical image segmentation in the medical industry, and face recognition and tracking in the entertainment and security industry.

Face recognition is a significant part of research in computer vision and machine learning and has a wide range of applications in security, human computer interaction and artificial intelligence in general.

The main goal of this thesis was to build a code repository to facilitate research in computer vision and machine learning at The African University of Science and Technology, Abuja. Our work concentrated on implementing some statistical shape and appearance algorithms used in face recognition research.

We trained an appearance model and active shape models for an experiment in face verification. We evaluated the use of parameters from the appearance model for face verification using four very common metrics: Mahalanobis distance, Euclidean distance, normalized correlation and Manhattan distance.

Our results showed that normalized correlation performed least while there was very little difference in the performance of the others.

Introduction

Research in computer vision and machine learning is a significant part of research in leading computer science departments worldwide. It has led to many breakthroughs in both academic research and commercial applications.

A currently thriving area of research in computer vision and machine learning is face recognition.

It was described in [30] as one of the most successful applications of image analysis and understanding, stating two reasons for the strong research efforts in this area as the wide range of applications it provides and the availability of the technology to support the research.

A study of some of the leading institutions in this field and in other fields in computer science reveals each has a thriving code repository which has been built over the years by researchers and is available to new researchers to build upon thus speeding up research work.

Examples include VisionX of Cornell University Vision and Image Analysis Group¹. FSL, of the Analysis Group, FMRIB, Oxford, UK² and STAIR Vision Library (SVL)³ developed by a Stanford PhD student for research initially to support the Stanford AI robot project.

How to Download this Project Material

First, note that we are one of the best and most reliable online platforms because we don’t retain any of your personal information or data as regards making payments online.

PRICE: ₦3,500 ₦3,000  (Three Thousand Naira Only)

Make a bank deposit or mobile transfer of ₦2,000 only to the account given below;

---

Bank Name: UBA Account Number: 1022564031 Account Name: TMLT PRO SERVICES

---

After making the payment, CLICK HERE to send the following on WhatsApp;

• Depositor’s Name or Screenshot of Payment
• Name of the Past Question
• Active Email Address

---

or Call Us On +2348082284439 Once your details have been received and your payment confirmed by us, you will receive the past question in your email or WhatsApp within 5 Minutes.

Guarantee of Getting the Material 

We understand that due to the high rate of fraud, many people are afraid of making purchases online but be rest assured that PastExamQuestions will deliver your material after payment.

Once your details have been received and your payment confirmed by us, you will receive the past question in your email or WhatsApp.

Give us Feedback

Have we been able to satisfy you? How well do you think the material will be helpful after having gone through it? Does the price worth the material?

Let’s hear from you! We recommend that our customers give feedback at the end of every transaction to enable us to serve better. You can do this by clicking the review button on this page.

Where is the review button? >> Just scroll up to where you see reviews