Neural network-based face detection

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NEURAL NETWORK-BASED FACE DETECTION

Abstract:

We present a neural network-based upright frontal face detection system. A retinally connected neural network examines small windows of an image and decides whether each window contains a face. The system arbitrates between multiple networks to improve performance over a single network. We present a straightforward procedure for aligning positive face examples for training. To collect negative examples, we use a bootstrap algorithm, which adds false detections into the training set as training progresses. This eliminates the difficult task of manually selecting nonface training examples, which must be chosen to span the entire space of nonface images. Simple heuristics, such as using the fact that faces rarely overlap in images, can further improve the accuracy. Comparisons with several other state-of-the-art face detection systems are presented, showing that our system has comparable performance in terms of detection and false-positive rates.

TABLE OF CONTENTS

Title page         -       -       -       -       -       -       -      -       ii

Certification    -       -       -       -       -       -       -      -       iii

Approval page         -       -       -       -       -       -      -       iv

Dedication       -       -       -       -       -       -       -      -       v

Acknowledgement   -       -       -       -       -       -       -      vi

Abstract -       -       -       -       -       -       -       -      -       vii

Table of contents     -       -       -       -       -       -      -       ix

CHAPTER ONE

 1.0 INTRODUCTION    -      -      -      -      -      -       1

1.1      Statement of the problem       -       -       -       -       5

1.2      Purpose of the study       -       -       -       -       -      6

1.3      Aims and objectives        -       -       -       -       -      6

1.4      Scope of study         -       -       -       -       -       -      8

1.5      Limitations of the study -       -       -       -       -       8

1.6      Definition of terms.-       -       -       -       -       -       9

CHAPTER TWO

 2.0 LITERATURE REVIEW -      -      -      -      -      11

CHAPTER THREE

3.0      Methods for fact finding and details discussions on the subject matter.        -       -       -       -       -      -       15

3.1      Methodologies for fact finding         -       -       -      15

3.2      Discussions     -       -       -       -       -       -       -      16

CHAPTER FOUR

4.0      Futures, Implications and challenges of the subject matter for the society             -       -       -       -      20

4.1      Futures   -       -       -       -       -       -       -       -      20

4.2      Implications    -       -       -       -       -       -       -      21

4.3      Challenges      -       -       -       -       -       -       -      22

CHAPTER FIVE

5.0      SUMMARY, RECOMMENDATION AND CONCLUSION 24

5.1      Summary        -       -       -       -       -       -       -      24

5.2      Recommendation    -       -       -       -       -       -      25

5.3      Conclusion      -       -       -       -       -       -       -      28

References       -       -       -       -       -       -      -       30

 

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