Analysis on face recognition based on five different viewpoint of face images using MTCNN and FaceNet
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2019.
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| التنسيق: | أطروحة |
| اللغة: | English |
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Brac University
2019
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| الموضوعات: | |
| الوصول للمادة أونلاين: | http://hdl.handle.net/10361/12814 |
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10361-12814 |
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10361-128142022-01-26T10:08:22Z Analysis on face recognition based on five different viewpoint of face images using MTCNN and FaceNet Al-imran Shams, Baniamin Nasim, Faysal Islam Hossain, Muhammad Iqbal Department of Computer Science and Engineering, Brac University Face recognition FaceNet MTCNN Convolutional Neural Network Face perception Human face recognition (Computer science) Machine learning This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2019. Cataloged from PDF version of thesis. Includes bibliographical references (pages 38-39). Despite signi cant recent achievements in the eld of face recognition, implementing proper face recognition system by training enough data is still a problem because not everyone has enough photos that we can use to train. The objective of this paper is to implement a proper face recognition system which can successfully recognize known and unknown person by feeding only ve phase images for each person into training dataset. In this eld, accuracy and speed of identi cation is the main issue. There are at least two reasons for the importance behind the research of face recognition which has recently received signi cant attention, especially during the past several years. The rst is the wide range of commercial and law enforcement applications, and the second is the availability of feasible technologies after 30 years of research. In this paper, we present a review of the most successful existing method FaceNet for face recognition technology and how we can use it successfully even though we don't have enough data to train and to encourage researchers to embark on this topic. A brief on general information on this topic is also included to compose an overall review. This review is written by investigating past and ongoing studies done by other researchers related to the same subject. Al-imran Baniamin Shams Faysal Islam Nasim B. Computer Science 2019-10-29T06:09:19Z 2019-10-29T06:09:19Z 2019 2019-08 Thesis ID 15201007 ID 15301030 ID 15201051 http://hdl.handle.net/10361/12814 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 39 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Face recognition FaceNet MTCNN Convolutional Neural Network Face perception Human face recognition (Computer science) Machine learning |
| spellingShingle |
Face recognition FaceNet MTCNN Convolutional Neural Network Face perception Human face recognition (Computer science) Machine learning Al-imran Shams, Baniamin Nasim, Faysal Islam Analysis on face recognition based on five different viewpoint of face images using MTCNN and FaceNet |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2019. |
| author2 |
Hossain, Muhammad Iqbal |
| author_facet |
Hossain, Muhammad Iqbal Al-imran Shams, Baniamin Nasim, Faysal Islam |
| format |
Thesis |
| author |
Al-imran Shams, Baniamin Nasim, Faysal Islam |
| author_sort |
Al-imran |
| title |
Analysis on face recognition based on five different viewpoint of face images using MTCNN and FaceNet |
| title_short |
Analysis on face recognition based on five different viewpoint of face images using MTCNN and FaceNet |
| title_full |
Analysis on face recognition based on five different viewpoint of face images using MTCNN and FaceNet |
| title_fullStr |
Analysis on face recognition based on five different viewpoint of face images using MTCNN and FaceNet |
| title_full_unstemmed |
Analysis on face recognition based on five different viewpoint of face images using MTCNN and FaceNet |
| title_sort |
analysis on face recognition based on five different viewpoint of face images using mtcnn and facenet |
| publisher |
Brac University |
| publishDate |
2019 |
| url |
http://hdl.handle.net/10361/12814 |
| work_keys_str_mv |
AT alimran analysisonfacerecognitionbasedonfivedifferentviewpointoffaceimagesusingmtcnnandfacenet AT shamsbaniamin analysisonfacerecognitionbasedonfivedifferentviewpointoffaceimagesusingmtcnnandfacenet AT nasimfaysalislam analysisonfacerecognitionbasedonfivedifferentviewpointoffaceimagesusingmtcnnandfacenet |
| _version_ |
1814307413561442304 |