Face detection is a fundamental problem in computer vision. It is still a challenging task in unconstrained conditions due to significant variations in scale, pose, expressions, and occlusion. In this paper, we propose a multi-branch fully convolutional network (MB-FCN) for face detection, which considers both efficiency and effectiveness in the design process. Our MB-FCN detector can deal with...

background a large amount of money is allocated to hypertension in terms of remedial and care costs, but fighting against this disease begins with education. objectives this study has been conducted with the aim of comparing the effect of two methods: face-to-face education and distance education (via short message service [sms]) on amount of following remedial diet in patients suffering from h...

We examined how recent biased face experience affects the influence of averageness on judgments of facial attractiveness among 8- and 9-year-old children attending a girls' school, a boys' school, and a mixed-sex school. We presented pairs of individual faces in which one face was transformed 50% toward its group average, whereas the other face was transformed 50% away from that average. Across...

Faces each have distinct pigmentation as well as shape, which suggests that both cues may play a role in the perception of faces. However, there is a common implicit assumption that pigmentation cues are relatively unimportant, and so the role pigmentation plays in face perception has gone largely unexplored. This thesis is a systematic investigation of the role of pigmentation in face recognit...

Face detection is fundamental for several important applications, such as, face recognition and human-computer interaction. This paper details a novel hierarchical face detector which combines motion, colour and late fusion. Motion segmentation is employed to eliminate background clutter and to reduce the initial search space. Subsequently, skin segmentation is used to determine a candidate fac...

Stable and clear visible facial features are crucial for the tasks in human face perception, such as face detection and tracking. Among other features, the center point between the eyes, or the “Between-the-Eyes” (BTE) has been found to be one of the good choices. In this paper, we propose a simple and fast way of extracting this facial feature from a facial image. By using down-sampling strate...

backgroundcomplementary feeding practices play an important role in growth and development of the children. this study aimed to determine the complementary feeding practices status among children aged 6- 23 months and its association with various socio- demographic factors.materials and methodsthis community based cross-sectional study was conducted at field practice area of urban health center...