in this paper, we propose a novel method for fully automatic detection and tracking of human heads and faces in video sequences. the proposed algorithm consists of two modules: a face detection module and a face tracking module. the detection module, detects the face region and approximates it with an ellipse at the first frame using a modified version of adaboost cascaded classifier. the detec...

Low-cost and highly efficient 3D face reconstruction is a significant technique for developing virtual interaction applications. While the Kinect, typical low-cost data collection device, has been widely used in many applications, this work, we propose point cloud optimization method based on Kinect. Based different characteristics of Kinect cloud, diverse strategies were delicately applied to ...

We know that early experience plays a crucial role in the development of face processing, but we know little about how infants learn to distinguish faces from different races, especially for non-Caucasian populations. Moreover, it is unknown whether differential processing of different race faces observed in typically studied monoracial infants extends to biracial infants as well. Thus, we inve...

Six adult chimpanzees (Pan troglodytes) trained on computerized matching-to-sample were shown a sample behind (anogenital region) of a chimpanzee and rewarded for selecting a corresponding facial image. If the two faces were of the same sex, and one belonged to the same individual as the behind, subjects made the correct association for familiar individuals but not unfamiliar ones, suggesting w...

in view of the geopolitical statue of caucasus in the region and the world and domestic problems of caucasus region, we face different and sometimes contradictory forces and interests in the region. and political, economic, security, cultural, and… developments are result of interaction between these different and sometimes contradictory forces and interests.

For face recognition, face feature selection is an important step. Better features should result in better performance. This paper describes a robust face recognition algorithm using multiple face region features selected by the AdaBoost algorithm. In conventional face recognition algorithms, the face region is dealt with as a whole. In this paper we show that dividing a face into a number of s...