نتایج جستجو برای: face cross
تعداد نتایج: 644868 فیلتر نتایج به سال:
among various practical measures used for restriction of the ground surface settlement in such tunnels driven in soft ground, selection of an appropriate excavation method plays a significant role. in this paper, employing suggested diagram by yu & chern, corresponding values of niayesh tunnel has been inserted into the diagram. later, two excavation methods namely: central diaphragm and si...
Faster RCNN has achieved great success for generic object detection including PASCAL object detection and MS COCO object detection. In this report, we propose a detailed designed Faster RCNN method named FDNet1.0 for face detection. Several techniques were employed including multi-scale training, multi-scale testing, light-designed RCNN, some tricks for inference and a vote-based ensemble metho...
Tliis paper presents the method to determine the order of feature (attention) points for face detection. The order of feature points is determined in terms of the classification ability to face and non-face images (cross validation). The matching is performed in the order of the selected feature points. It is confirmed that high rec:ognition rate is obtained by using only a small number of feat...
abstract biometric access control is an automatic system that intelligently provides the access of special actions to predefined individuals. it may use one or more unique features of humans, like fingerprint, iris, gesture, 2d and 3d face images. 2d face image is one of the important features with useful and reliable information for recognition of individuals and systems based on this ...
An extensive body of literature suggests that face perception depends critically upon specialised face processing mechanisms. Although it seems clear that specialised face processing is required to explain face recognition, face discrimination is a simpler task that could possibly be solved with a general pattern discrimination mechanism. Observers were presented with face images that were eith...
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