Face detection is applied to many tasks such as auto focus control, surveillance, user interface, and face recognition. Processing speed and detection accuracy of the face detection have been improved continuously. This paper describes a novel method of fast face detection with multi-scale window search free from image resizing. We adopt statistics of gradient images (SGI) as image features and...

In this paper, we propose a method that uses Local Zernike Moments (LZM) for face recognition in low-resolution face images. Global Zernike Moments produce one moment value for whole image, whereas LZM are based on the evaluation of the moments for each pixel. LZM are shown to achieve significant success and robustness in face recognition. In order to further increase the robustness of LZM agai...

With advances in digital photography, people can obtain large-scale and high-quality pictures more easily. How to understand this large-scale and high-quality information and how to make use of this information to recover distortions in other images are two fundamental and challenging problems in computer vision and image processing. In this thesis, we solve these problems for face images so th...

This study explored the associations between the perpetration of partner violence and two types of face orientation-protective and acquisitive-in Chinese societies. Data from a convenience sample of 3,388 university students from Hong Kong, Shanghai, and Beijing were analyzed. The participants completed the Protective and Acquisitive Face Orientation (PAFO) Scale Short Form and the Revised Conf...

Photos with people (e.g., family, friends, celebrities, etc.) are the major interest of users. Thus, with the exponentially growing photos, large-scale content-based face image retrieval is an enabling technology for many emerging applications. In this work, we aim to utilize automatically detected human attributes that contain semantic cues of the face photos to improve content-based face retr...

In this report, a novel face detection method is presented. Face detection is a primary step in many applications such as face recognition, video surveillance, human computer interface, and expression recognition. Many existing detection techniques suffer under scale variation, pose variation (frontal vs. profile), illumination changes, and complex backgrounds and sometimes have high computatio...

Introduction: The purpose of the present study was to record their pain sensation and to assess children`s reaction objectively and subjectively while receiving dental local anesthesia with 27- and 30-gauge needles. Methods: Forty children (24 boys and 16 girls) participated in this study. A random double-blinded crossover design was used so that each child served as his or her own control, rec...

introduction phenylketonuria (pku) is a congenital metabolic disorder of phenylalanine, if which, the diet is not to be followed exactly, it can lead to progressive mental retardation. the purpose of this study was to investigate the effect of face to face and non-face to face trainings by parental on controlling serum phenylalanine levels in the children with phenylketonuria. materials and met...

our research group has - during the past 15 years - developed and tested internet interventions for more than 20 separate conditions totaling in close to 50 published randomized controlled trials. the studies cover a wide range of diagnoses including depression, social anxiety, panic disorder, generalized anxiety disorder, and pathological gambling. the treatments have mostly been based on cogn...

In this paper, we introduce the Face Magnifier Network (Face-MageNet), a face detector based on the Faster-RCNN framework which enables the flow of discriminative information of small scale faces to the classifier without any skip or residual connections. To achieve this, Face-MagNet deploys a set of ConvTranspose, also known as deconvolution, layers in the Region Proposal Network (RPN) and ano...