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Dissertations / Theses on the topic 'Facial feature points'

Author: Grafiati

Published: 28 May 2022

Last updated: 31 July 2025

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1

Trejo, Guerrero Sandra. "Model-Based Eye Detection and Animation." Thesis, Linköping University, Department of Electrical Engineering, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-7059.

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<p>In this thesis we present a system to extract the eye motion from a video stream containing a human face and applying this eye motion into a virtual character. By the notation eye motion estimation, we mean the information which describes the location of the eyes in each frame of the video stream. Applying this eye motion estimation into a virtual character, we achieve that the virtual face moves the eyes in the same way than the human face, synthesizing eye motion into a virtual character. In this study, a system capable of face tracking, eye detection and extraction, and finally iris posi

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Zhao, Xi. "3D face analysis : landmarking, expression recognition and beyond." Phd thesis, Ecole Centrale de Lyon, 2010. http://tel.archives-ouvertes.fr/tel-00599660.

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This Ph.D thesis work is dedicated to automatic facial analysis in 3D, including facial landmarking and facial expression recognition. Indeed, facial expression plays an important role both in verbal and non verbal communication, and in expressing emotions. Thus, automatic facial expression recognition has various purposes and applications and particularly is at the heart of "intelligent" human-centered human/computer(robot) interfaces. Meanwhile, automatic landmarking provides aprior knowledge on location of face landmarks, which is required by many face analysis methods such as face segmenta

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Шумило, Д. О. "Інформаційна технологія 3D-реконструкції обличчя людини". Master's thesis, Сумський державний університет, 2020. https://essuir.sumdu.edu.ua/handle/123456789/79570.

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Виконано огляд існуючих способів реконструкції поверхні, розроблено, програмно реалізовано, та протестовано інформаційну технологію 3D-реконструкції обличчя людини за 2D-зображенням. Мовою C++ з використанням бібліотек OpenGL та OpenCV розроблено систему збору статистичних даних, необхідних для розрахунку коваріаційної матриці, що лежить в основі запропонованого підходу. Підхід разом із системою проведення експериментів розроблено мовою Matlab.

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Lundberg, Jonas. "MPEG-4 Facial Feature Point Editor." Thesis, Linköping University, Department of Electrical Engineering, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1401.

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<p>The use of computer animated interactive faces in film, TV, games is ever growing, with new application areas emerging also on the Internet and mobile environments. Morph targets are one of the most popular methods to animate the face. Up until now 3D artists had to design each morph target defined by the MPEG-4 standard by hand. This is a very monotonous and tedious task. With the newly developed method of Facial Motion Cloning [11]the heavy work is relieved from the artists. From an already animated face model the morph targets can now be copied onto a new static face model. </p><p>For th

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Mistry, Kamlesh. "Intelligent facial expression recognition with unsupervised facial point detection and evolutionary feature optimization." Thesis, Northumbria University, 2016. http://nrl.northumbria.ac.uk/36011/.

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Facial expression is one of the effective channels to convey emotions and feelings. Many shape-based, appearance-based or hybrid methods for automatic facial expression recognition have been proposed. However, it is still a challenging task to identify emotions from facial images with scaling differences, pose variations, and occlusions. In addition, it is also difficult to identify significant discriminating facial features that could represent the characteristic of each expression because of the subtlety and variability of facial expressions. In order to deal with the above challenges, this

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6

Ni, Weiyuan. "Recalage d'images de visage." Thesis, Grenoble, 2012. http://www.theses.fr/2012GRENT045/document.

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Etude bibliographique sur le recalage d'images de visage et sur le recalage d'images et travail en collaboration avec Son VuS, pour définir la précision nécessaire du recalage en fonction des exigences des méthodes de reconnaissance de visages<br>Face alignment is an important step in a typical automatic face recognition system.This thesis addresses the alignment of faces for face recognition applicationin video surveillance context. The main challenging factors of this research includethe low quality of images (e.g., low resolution, motion blur, and noise), uncontrolledillumination conditions

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7

Lo, Hsin-ru, and 羅心汝. "A Gender Recognition System Using ASM Facial Feature Points." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/10530736583982562448.

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碩士<br>大同大學<br>資訊工程學系(所)<br>104<br>The application of gender recognition is in the filed of shopping center and public places. The recognition system aims to let advertisers know the proportion of male and female of the population when ads show displays. In this paper, Active Shape Model (ASM) is used to extract facial gender features for gender recognition. Traditional, there are neural network classifier, gender identify facial features, and Principal Components Analysis (PCA) classifier for gender identification. Here, we propose innovative facial and hair features for gender classification

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8

Liu, Hsiang-Chi, and 劉湘琦. "Heart Rate Detection Based on Facial Feature Points Tracking." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/sqj8n7.

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碩士<br>國立雲林科技大學<br>資訊工程系<br>106<br>According to the 2016 statistics of causes of death (Taiwan Ministry of Health and Welfare), cardiovascular diseases(CVD) is the second leading cause of death. With the aging of population and the declined in the average age of suffering cardiovascular diseases, the prevention of the CVD has received more and more attentions. In recent years, with the improvement of photographic equipment and computer’s computational efficiency, there are many non-contact heartbeat detection technologies based on image had been proposed. However, their performances are sufferi

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9

Huang, Ching-Wen, and 黃靖雯. "Apple Cheek Image Enhancement Based on Facial Feature Points." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/t5u3t6.

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碩士<br>國立臺北科技大學<br>資訊工程系<br>106<br>Apple cheek is a fat tissue located near the zygomatic bone of the cheek of a human face. It affects the face of a person that looks big or small, stereoscopic or flat. Further, created the highest point of the apple cheek in the opposite position to make the face look younger. Therefore, apple cheek is one of the common treatment items for aesthetic medicine. At present, the commonly used facial landmarks often lacks definition and description for face cheeks. For example, DLib library and active shape model (ASM) use the Stasm function library to search for

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10

Lu, Lin, and 盧霖. "Developing Skin-color Mapping Algorithm Based Feature Points of Facial Images." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/37725489836579230411.

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碩士<br>國立臺灣科技大學<br>光電工程研究所<br>103<br>When users select cosmetics, they may spend much time in the process of trying the products. If we can provide a series of template images, they can select the cosmetic effects on their face to do a simulation result using digital facial makeup technology. The procedure can save the time of trying cosmetic and reduce the damage caused by makeup and cleaning up process to help the user choose the proper cosmetics. This study presents a comprehensive digital makeup process to achieve this goal. It can simulate a similar cosmetic effect on a user’s facial image

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11

Chen, Fang. "Facial Feature Point Detection." Thesis, 2011. http://hdl.handle.net/1807/30546.

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Facial feature point detection is a key issue in facial image processing. One main challenge of facial feature point detection is the variation of facial structures due to expressions. This thesis aims to explore more accurate and robust facial feature point detection algorithms, which can facilitate the research on facial image processing, in particular the facial expression analysis. This thesis introduces a facial feature point detection system, where the Multilinear Principal Component Analysis is applied to extract the highly descriptive features of facial feature points. In addition, to

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12

Hung, Jui Hsin, and 洪瑞鋅. "Feature Point Technique for Facial Expression, Facial Animation and Face Recognition." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/27194478708101044237.

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碩士<br>國立中正大學<br>電機工程研究所<br>90<br>In this thesis, we developed a facial expressional model synthesis and recognition system based on feature point techniques. Feature point identifies exact positions of human facial features, therefore they are applicable for face recognition systems. We proposed an automatic detection and recognition scheme based on the property that the skin colors are distributed over a small area in the chrominance plane to detect human face positions. Furthermore, we can successfully extract the coordinates of feature points via image processing techniques. By using these

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13

Lu, Hsiang-Chun, and 盧翔俊. "Facial Feature Point Extraction For Model-based Image Coding." Thesis, 1997. http://ndltd.ncl.edu.tw/handle/84127913071554317697.

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碩士<br>國立清華大學<br>資訊科學系<br>85<br>The model-based coding is recognized as the most effective way of coding invery low bit rate. It is designated to encode head-and-shoulder image sequences, in which whose structural characteristics can be modeled based on priort knowledge. That is, a 3-dimensional head model should be sketched out for the head-and-shoulder image sequence to be transmitted. The facial feature points extraction is one of the key techniques in recapitulating the model. 　　In this thesis, we propose a four-phase extraction scheme: (1)facial-expression area locating, (2)corner point fi

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14

Chou, Jen-Chung, and 周任中. "Feature Point Tracking of Human Face and Facial Expression Analysis." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/86583269226446326785.

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碩士<br>國立清華大學<br>電機工程學系<br>88<br>In virtual conferencing systems, the changes of facial objects on human faces are major focus of all users. In order to represent the detail changes of facial features, the algorithms for feature point tracking are developed to track motion of these features and expression analysis is applied to translate the tracking result to facial animation parameters for user’s understanding. Hence, in this thesis, we propose methods and algorithms for these two major problems. First, a real-time feature point tracking algorithm is presented to achieve medium to

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15

Feng, Bo-Chun, and 馮柏鈞. "Influence of Glasses-wearing on Facial Features Extraction with 3D Point Clouds Data." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/33082837452054874406.

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碩士<br>逢甲大學<br>都市計畫與空間資訊學系<br>102<br>In face recognition, the majority of the research are use 2D image information to extract facial features and identification. In recent years, 3D image and point clouds have been used for identification, however the 3D modality is usually needed to be built before face recognition. In addition, the process of the 3D modality is time-consuming and complicated. 3D point clouds could be directly used for face recognition without 3D modality. The myopia is up to one million population in Taiwan, people sometimes would wear glasses while 3D scanning. In this stud

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16

Ching-TingTu and ??珽. "Direct Combined Model for Facial Feature Point Detection, Face Sketch Synthesis, and Occluded Face Recovery." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/47503515443382576219.

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博士<br>國立成功大學<br>資訊工程學系碩博士班<br>98<br>In this thesis, we present a new learning framework, direct combined model (DCM), for measuring the relationship between two related multidimensional variables. DCM finds one combined feature space to optimize their corresponding correlations, and, at the same time, it extracts the significant features of the individual variables. When only one variable is observed (known) and the other variable is hidden (unknown), a feature transformation, called DCM transformation, is computed with the aid of the combined model, DCM. DCM transformation estimates the tr

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17

Cheng-YuanChen and 陳正元. "Facial Feature Point Detection using Shape Optimized Search and Tracking using Inverse Compositional Active Appearance Models." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/08075334818920959853.

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碩士<br>國立成功大學<br>資訊工程學系碩博士班<br>101<br>Understanding human action is one of the most important issues of computer vision. In recent years, non-contact human action analysis system using camera has become more and more popular because the price of camera devices are getting lower. In human action analysis systems, facial feature points can tell a lot about the motion of human head such as gazing direction, drowsy and facial expression. In this thesis, a real-time system is proposed to detect the facial feature points and track these points with high accuracy and low computational cost. In the fea

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