Facial Features Research Papers - Academia.edu (original) (raw)

Facial Expression gives important information about emotion of a person. Facial expressions are the most expressive way human being display emotions. This paper presents a technique based on multilayered artificial neural network for the... more

Facial Expression gives important information about emotion of a person. Facial expressions are the most expressive way human being display emotions. This paper presents a technique based on multilayered artificial neural network for the detection and classification of frontal facial images. The process involves four stages pre-processing, face detection, features extraction and emotion detection. The emotion worked on is astonished, happy and neutral. The total average accuracy of classification is 86.1%.

Age Estimation Components, i.e. the extraction and localization of facial features landmark points, which represent ageing pattern are very important steps in the age estimation process. A good age estimation technique will contain enough... more

Age Estimation Components, i.e. the extraction and localization of facial features landmark points, which represent ageing pattern are very important steps in the age estimation process. A good age estimation technique will contain enough variation of landmark points and consider all important points to express the full complexity of the problem. Major progress has been achieved recently in the area of facial landmark localization and extraction method for age estimation. Moreover, measuring facial features landmark points for age classification algorithm has become an interesting subject when dealing with automatic localization process. However, the difficulties to measure the points automatically divert to wrong result if the method unable to locate exact facial features landmark points properly at critical area with complex appearance. Such as measuring points at upper region of face when dealing with individuals with no hair or hair that covered part of the forehead. Therefore, ...

Background: Deletions and mutations in the NSD1 gene are the major cause of Sotos syndrome. We wanted to evaluate the genotype-phenotype correlation in patients suspected of having Sotos syndrome and determine the best discriminating... more

Background: Deletions and mutations in the NSD1 gene are the major cause of Sotos syndrome. We wanted to evaluate the genotype-phenotype correlation in patients suspected of having Sotos syndrome and determine the best discriminating parameters for the presence of a NSD1 gene alteration. Methods: Mutation and fluorescence in situ hybridization analysis was performed on blood samples of 59 patients who were clinically scored into 3 groups. Clinical data were compared between patients with and without NSD1 alterations. With logistic regression analysis the best combination of predictive variables was obtained. Results: In the groups of typical, dubious and atypical Sotos syndrome, 81, 36 and 0% of the patients, respectively, showed NSD1 gene alterations. Four deletions were detected. In 23 patients (2 families) 19 mutations were detected (1 splicing defect, 3 non-sense, 7 frameshift and 8 missense mutations). The best predictive parameters for a NSD1 gene alteration were frontal bossi...

Abstract. This paper describes a new and flexible approach to emotion generation and facial mapping that forgoes emotions labelling and facial action units. A biologically inspired architecture of emotion that allows regulation of an... more

Abstract. This paper describes a new and flexible approach to emotion generation and facial mapping that forgoes emotions labelling and facial action units. A biologically inspired architecture of emotion that allows regulation of an agent emotions and behaviour is presented. The resulting emotions are expressed through a 2D animated character, representing a context-aware mobile tour guide, guiding visitors touring an outdoor attraction. We mapped three facial features: the eyes, the mouth and the eyebrows onto ...

Most stroke patients usually have problems in communication and body movement, such as speaking, sitting, walking, and picking up items. Moreover, the number of caregivers is smaller than the number of stroke patients. Nevertheless, these... more

Most stroke patients usually have problems in communication and body movement, such as speaking, sitting, walking, and picking up items. Moreover, the number of caregivers is smaller than the number of stroke patients. Nevertheless, these patients need 24-hour caregivers for the patients’ safety. Therefore, the objective of this research is to determine patterns of anxiety emotion via facial expressions from the sub-structures on the face, such as the inner brow raiser, brow lower, lid raiser, and lip part. Random samples of 360 facial images from horror-thriller movies based on the internet movie database (IMDb) website were selected. Then, 68 facial landmarks for classifying the emotions were applied to each facial image. The differences in these 68 positions before and after the changed emotions were used as the emotional indicators. Furthermore, these different values are applied to implement a decision tree with all the boundaries of the sub-structures disclosed as a suitable c...

The application of Support Vector Machines (SVMs) in face recognition is investigated in this paper. SVM is a classification algorithm recently developed by V. Vapnik and his team. We illustrate the potential of SVMs on the Cambridge ORL... more

The application of Support Vector Machines (SVMs) in face recognition is investigated in this paper. SVM is a classification algorithm recently developed by V. Vapnik and his team. We illustrate the potential of SVMs on the Cambridge ORL face database, which consists of 400 images of 40 individuals, containing quite a high degree of variability in expression, pose, and facial details. Our face recognition systems consist of two major phases. We present an automated facial feature extraction procedure and make use of Near set approach to choose the best feature among the considered one which significantly improves face recognition efficiency of SVM. Near Set approach was introduced by James Peters in 2006, as a result of generalization of rough set theory. One set X is near to another set Y to the extent that the description of at least one of the objects in set X matches the description of at least one of the objects in Y. Also we have shown that for face recognition in ORL face dat...

Previous studies have established specific cephalometric norms for children with different ethnic backgrounds, showing different facial features for each group. Up till now, there is a paucity of information about the cephalometric... more

Previous studies have established specific cephalometric norms for children with different ethnic backgrounds, showing different facial features for each group. Up till now, there is a paucity of information about the cephalometric features of Saudi children living in the western region of Saudi Arabia, who have distinct social and climatic characteristics. The aim of the present study was to establish cephalometric norms for children living in the western region of Saudi Arabia. A total of 62 lateral cephalometric radiographs of Saudis (33 females and 29 males; aged 9-12 years) having good facial proportions and Class I dental occlusion, were traced and analyzed. Using the t-test, the mean value, standard deviation and the range of 20 angular and linear variables were calculated and compared to norms of adult Saudis living in the Western region of Saudi Arabia using the t-test. Male and female groups were also compared using the t- test. Saudi children tend to have a significantly ...

There are a variety of potential uses for the classification of eye conditions, including tiredness detection, psychological condition evaluation, etc. Because of its significance, many studies utilizing typical neural network algorithms... more

There are a variety of potential uses for the classification of eye conditions, including tiredness detection, psychological condition evaluation, etc. Because of its significance, many studies utilizing typical neural network algorithms have already been published in the literature, with good results. Convolutional neural networks (CNNs) are employed in real-time applications to achieve two goals: high accuracy and speed. However, identifying drowsiness at an early stage significantly improves the chances of being saved from accidents. Drowsiness detection can be automated by using the potential of artificial intelligence (AI), which allows us to assess more cases in less time and with a lower cost. With the help of modern deep learning (DL) and digital image processing (DIP) techniques, in this paper, we suggest a CNN model for eye state categorization, and we tested it on three CNN models (VGG16, VGG19, and 4D). A novel CNN model named the 4D model was designed to detect drowsine...

The evolution of storage capacity, computation power and connectivity in Consumer-Electronics (CE)-, in-vehicle-, medical-IT-and on-chip-networks allow the easy implementation of grid-computing-based real-time and distributed face-related... more

The evolution of storage capacity, computation power and connectivity in Consumer-Electronics (CE)-, in-vehicle-, medical-IT-and on-chip-networks allow the easy implementation of grid-computing-based real-time and distributed face-related analysis systems. A combination of facial-related analysis components-Service Units (SUs)–such as face detection, pose estimation, face tracking and facial feature localization provide a necessary set of basic visual descriptors required for advanced facialand human-related ...

Background Sotos syndrome is an overgrowth syndrome characterized by macrocephaly, advanced bone age, characteristic facial features, and learning disabilities, caused by mutations or deletions of the NSD1 gene, located at 5q35. Sotos... more

Background Sotos syndrome is an overgrowth syndrome characterized by macrocephaly, advanced bone age, characteristic facial features, and learning disabilities, caused by mutations or deletions of the NSD1 gene, located at 5q35. Sotos syndrome has been described in a number of patients with autism spectrum disorders, suggesting that NSD1 could be involved in other cases of autism and macrocephaly. Methods We screened the NSD1 gene for mutations and deletions in 88 patients with autism spectrum disorders and macrocephaly (head circumference 2 standard deviations or more above the mean). Mutation analysis was performed by direct sequencing of all exons and flanking regions. Dosage analysis of NSD1 was carried out using multiplex ligation-dependent probe amplification. Results We identified three missense variants (R604L, S822C and E1499G) in one patient each, but none is within a functional domain. In addition, segregation analysis showed that all variants were inherited from healthy ...