The purpose of this project is to test and improve people’s ability of face recognition. Although there are some tests on the internet with the same purpose, the problem is that people may feel bored and give up before finishing the tests. Consequently they may not benefit from testing nor from training. To solve this problem, face recognition and online game are put together in this project. The game is supposed to provide entertainment when people are playing, so that more people can take the test and improve their abilities of face recognition. In the game design, the game is assumed to take place in the face recognition lab, which is an imaginary lab. The player plays the main role in this game and asked to solve a number of problems. There are several scenarios waiting for the player, which mainly need face recognition skills from the player. At the end the player obtains the result of evaluation of her/his skills in face recognition.

This thesis is devoted to generating the boundary of face profile for face transformation in face combining, face resembling and face recognition. The face reformation can be carried by the geometric, harmonic model and numerical methods, such as the splitting shooting method(SSM) and the splitting integrating methods(SIM) of image transformation. However, the harmonic model needs the boundary correspondence in the Dirichlet condition. It is forbidding to depict the pixel-pixel correspondence, but is necessary to find a few important, charactistic point-point correspondences. Hence, we may seek the blending curves to establish the curve-curve correspondence. In this thesis, the formulation for the face boundary and profiles are explored by three methods: cubic spline, quadratic, spline, and the ordinary differential equation(ODE) approaches using Hermite interpolation. The latter is advantageous for handling different boundary conditions in 2D clamped, simply support conditions and given curvature. The combined algorithms using both cubic splines and the ODE methods are also developed. New mathematical algorithms of curves for given curvature on the boundary are proposed in this thesis, and the number of nonlinear equations involved in curvature conditions can be reduced to two or three only. This thesis also displays the validity of the ODE approaches for 2D curves. Graphical experiments are carried out to resembling face images of a young girl, based on the photos of her parents and her childhood.

Currently, golf club design has been widespread. No matter the appearance changed, designed for center of gravity, material application, etc, they are all pursuing better efficiency of hitting. However, there will be no optimal design with emphasize on one of them. Thanks to the parameter design of golf head with simulating and analyzing golf ball trajectory, and modifying M.O.I., center of gravity, etc, the optimal performance of club head can be achieved. In this thesis, golf club models were set up by SolidWorks. The weight of club head model was decided by different class of users, and each class of club head had four types of hitting face structures individually. Then, their impact effect was simulated by LS-Dyna solver system. In this thesis, the hitting effect for different types hitting face was analyzing by including professional Male, Female, amateur Male, and Female four different tyes of users. Then the influences on ball linear velocity, the angular velocity and the trajectory were verified. The Men¡¦s PGA Tour suitable club is reticulate face. The Ladies¡¦ LPGA Tour suitable club face is uniform slab. The Typical Men suitable club face is concentric circle. The Typical Lady suitable club faces are concentric circle and reticulate face.

Reproduction de : Thèse d'exercice : Chirurgie dentaire : Nantes : 2008. / Bibliogr.

Aim of study The aim of this clinical retrospective study is to evaluate the clinical outcomes of patients with transverse maxillary hypoplasia who underwent surgical assisted maxillary expansion (SARME) using a bone borne distractor in 2 different surgical centers. Patients and Methods This is a clinical retrospective cross‐sectional study of adult patients diagnosed with maxillary transverse hypoplasia and having had transpalatal distraction by SARME done in two surgical centers (Oral and Maxillofacial Surgery, The University of Hong Kong, Hong Kong and The Baruch Padeh Medical Center, Poriya, Israel) from January 2004 to December 2011. A total of 37 patients were identified. The mean age was 27.1. Each patient underwent a standard Le Fort I osteotomy with midline split with no mobilization under general anesthesia. A bone‐borne palatal distractor was fitted on the hard palate. The distractor was activated at a rate of 0.6mm per day following 5 ‐ 7 days of latency until the amount of expansion was reached according to plan. Occlusal radiographs and lateral cephalographs were obtained at pre‐expansion phase and regular postoperative intervals during the activation and consolidation period. Among the 37 patients, only 15 patients could be contacted by phone, mail or e‐mail and has agreed to participate in the cross‐sectional analysis. Clinical examination was performed and included the following: tooth vitality, tooth mobility, periodontal status and occlusion. Questionnaire was also given to patients to grade their experiences toward the treatment outcome. Results The mean transverse expansion achieved was 9.58mm. The TPD was removed from the patients in the ranged of 2 months to the longest 8 months (mean: 5.2 months). The distraction gap was gradually ossified by bone and then the teeth were aligned into the space achieving stable dental occlusion. No intra‐operative complications were recorded. Post‐operatively, 2 patients had to be re‐operated due to failure to activate the distractor. Others post‐operative complications encountered were pain, fixation screw loosening, insufficient distractor length, infection, asymmetric expansion and tooth migration into the distraction gap. These complications were well managed accordingly. Majority of the patients were satisfied with the treatment and will recommend it to others. Conclusions Correction of maxillary transverse hypoplasia using a transpalatal distractor can reliably achieve large bony expansion of the maxillary arch with few postoperative complications. / published_or_final_version / Dental Surgery / Master / Master of Dental Surgery

Due to the recent advances in visual communication and face recognition technologies, automatic face detection has attracted a great deal of research interest. Being a diverse problem, the development of face detection research has comprised contributions from researchers in various fields of sciences. This thesis examines the fundamentals of various face detection techniques implemented since the early 70's. Two groups of techniques are identified based on their approach in applying face knowledge as a priori: feature-based and image-based. One of the problems faced by the current feature-based techniques, is the lack of costeffective segmentation algorithms that are able to deal with issues such as background and illumination variations. As a result a novel facial feature segmentation algorithm is proposed in this thesis. The algorithm aims to combine spatial and temporal information using low cost techniques. In order to achieve this, an existing motion detection technique is analysed and implemented with a novel spatial filter, which itself is proved robust for segmentation of features in varying illumination conditions. Through spatio-temporal information fusion, the algorithm effectively addresses the background and illumination problems among several head and shoulder sequences. Comparisons of the algorithm with existing motion and spatial techniques establishes the efficacy of the combined approach.

Image-based face recognition has attained wide applications during the past decades in commerce and law enforcement areas, such as mug shot database matching, identity authentication, and access control. Existing face recognition techniques (e.g., Eigenface, Fisherface, and Elastic Bunch Graph Matching, etc.), however, do not perform well when the following case inevitably exists. The case is that, due to some variations in imaging conditions, e.g., pose and illumination changes, face images of the same person often have different appearances. These variations make face recognition techniques much challenging. With this concern in mind, the objective of my research is to develop robust face recognition techniques against variations. This thesis addresses two main variation problems in face recognition, i.e., pose and illumination variations. To improve the performance of face recognition systems, the following methods are proposed: (1) a face feature extraction and representation method using non-uniformly selected Gabor convolution features, (2) an illumination normalization method using adaptive region-based image enhancement for face recognition under variable illumination conditions, (3) an eye detection method in gray-scale face images under various illumination conditions, and (4) a virtual pose generation method for pose-invariant face recognition. The details of these proposed methods are explained in this thesis. In addition, we conduct a comprehensive survey of the existing face recognition methods. Future research directions are pointed out.

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