Abstract 3D face recognition (3DFR) has emerged as an effective means of characterizing
facial identity over the past several decades. Depending on the types of techniques used in …

Existing convolutional neural network (CNN) based face recognition algorithms typically
learn a discriminative feature mapping, using a loss function that enforces separation of …

Monitoring elderly people who are living alone is a crucial task as they are at great risk of fall
occurrence. In this paper, we present a robust framework for fall detection that makes use of …

Assessment of respiratory activity in pediatric intensive care unit allows a comprehensive
view of the patient's condition. This allows the identification of high-risk cases for prompt and …

In recent years, the Kinect-based systems that enable users to be trained without the
participation of teachers have been widely used in the field of physical education. In this …

The emergence of light field cameras opens new frontiers in terms of biometric recognition.
This paper proposes the first deep CNN solution for light field based face recognition …

This research proposes a method for 3D face recognition in various conditions using 3D
constrained local model (CLM-Z). In this method, a combination of 2D images (RGBs) and …

With the fast development of information acquisition, there is a rapid growth of multi-modality
data, eg, text, audio, image and video, in health care, multimedia retrieval and many other …

Low cost time-of-flight based depth sensors such as Kinect have opened new avenues for
their usage in video surveillance scenarios. RGB-D images obtained from such sensors …

Low‐cost and highly efficient 3D face reconstruction is a significant technique for developing
virtual interaction applications. While the Kinect, a typical low‐cost 3D data collection device …