Face recognition II by Mok, Valerie Hui Fang

“…In this final report, its objective is to examine and study the Open Computer Vision (OpenCV) techniques such as PCA using Visual Studio C# programming language and develop a simple Graphic User Interface (GUI) that assures system perform reliably with an input camera to perform live face detection and recognition. …”
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Face/object recognition and tracking on IoT device with 3D camera by Lin, Yuxin

“…Traditional face recognition systems often use RGB images as input for feature extraction and classification. …”
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Face recognition in color space by Zhao, Tiansi

“…As the color information is unreliable, most face recognition techniques work on the grey level image, which is the first part or objective of this project. …”
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3D face recognition by Tao, Yue.

“…The objective of author’s final year project is to develop a face recognition algorithm using stereo cameras that both front-view face image and side-view face image are valuable for face recognition. …”
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Techniques for face recognition in surveillance applications by Htun, Naw Olive.

“…In this project, the main focus is to study still-image face recognition system and thus theoretical backgrounds for the two essential algorithms in recognizing the different faces and the neural network used to implement the face recognition are briefly presented in this report. …”
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Face recognition based on Bayesian shape model by Yan, Bing

“…Interest and research activities in automatic face recognition have been developed significantly in last few years. …”
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Home security system based on face recognition techniques by Yuan, Wanheng

“…Face recognition uses a computer to do analysis for the face video or image and extract the effective personal identification information from it, finally determine the identity of the face object. …”
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Object class recognition by unsupervised scale-invariant learning by Fergus, R, Perona, P, Zisserman, A

“…The flexible nature of the model is demonstrated by excellent results over a range of datasets including geometrically constrained classes (e.g. faces, cars) and flexible objects (such as animals).…”

Automatic face recognition for film character retrieval in feature-length films by Arandjelović, O, Zisserman, A

“…The objective of this work is to recognize all the frontal faces of a character in the closed world of a movie or situation comedy, given a small number of query faces. …”

Face recognition based on the combination of rectangle filters and unified subspace analysis approach by Cai, Yichang

“…In other words, current systems are still far away from the capability of the human perception system. The objective of my dissertation is to study some important and classical face recognition approaches include both the holistic approaches and the feature-based approaches for face recognition. …”
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Investigation of face recognition by spectral face method by Choh, Mei Wan.

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Face recognition based on PCA and LDA by Qiu, Liangdong

“…Using machine learning algorithms to solve face recognition problems is a hot topic for research. …”
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Face recognition in unconstrained images and videos by Nguyen, Bich Hoang Anh

“…In recent years, face recognition remains as one of the most attractive research topic in the computer vision field. …”
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Real-time face detection and recognition by Tang, Ying Hao

“…Real-time face detection (RTFD) and recognition is used widely in many areas from tagging faces on Facebook, custom services at airports and to unlocking phones through a face recognition application. …”
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Face recognition using openCV by Shi, Fangzhou

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Joint Feature Learning for Face Recognition by Lu, Jiwen, Liong, Venice Erin, Wang, Gang, Moulin, Pierre

Subjects: “…Face recognition…”
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Dataset issues in object recognition by Ponce, J, Berg, TL, Everingham, M, Forsyth, DA, Hebert, M, Lazebnik, S, Marszalek, M, Schmid, C, Russell, BC, Torralba, A, Williams, CKI, Zhang, J, Zisserman, A

“…Appropriate datasets are required at all stages of object recognition research, including learning visual models of object and scene categories, detecting and localizing instances of these models in images, and evaluating the performance of recognition algorithms. …”

Face recognition using total loss function on face database with ID photos by Cui, Dongshun, Zhang, Guanghao, Hu, Kai, Han, Wei, Huang, Guang-Bin

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Principled asymmetric boosting approaches to rapid training and classification in face detection by Pham, Minh Tri

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Design of anti-spoofing system for face recognition by Ang, Alexandrea Shiying

“…The advancement of technology means that threats and the ways one can attack is increasing. Face spoofing detection is one way to overcome the attack of spoofing. …”
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