نتایج جستجو برای: face scale
تعداد نتایج: 728330 فیلتر نتایج به سال:
Image pyramid is a common strategy in detecting objects with different scales in an image. The computation of features at every scale of a finely-sampled image pyramid is the computational bottleneck of many modern face detectors. To deal with this problem, we propose a multi-scale fully convolutional network framework for face detection. In our detector, face models at different scales are tra...
Face verification is a problem approached in the literature mainly using nonlinear class-specific subspace learning techniques. While it has been shown that kernel-based ClassSpecific Discriminant Analysis is able to provide excellent performance in smalland medium-scale face verification problems, its application in today’s large-scale problems is difficult due to its training space and comput...
Background & Aim: Urinary incontinence is a common disorder in women. Pelvic floor muscle exercise is one of the effective treatment methods. Self-efficacy is considered an effective and strong predictor of willingness to perform and continue these exercises. In Iran, there is no appropriate tool for assessing self-efficacy. So this study was performed to determine the psychometric properties o...
background: given the greater tendency during adolescence toward risk-taking, identifying and measuring the factors affecting the adolescents’ health is highly important to ensure the efficacy of health promoting interventions. one of these factors is self-transcendence. the aim of this study was to assess the psychometric features of the self-transcendence scale (adolescents’ version) in stude...
Human face contains abundant shape features. This fact motivates a lot of impressive shape feature-based face detection and 3D face recognition approaches. However, as far as we know, there is no prior low-level face representation which is purely based on shape feature proposed for conventional 2D (image-based) face recognition. In this paper, we present a novel low-level shape-based face repr...
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