Knowledge about individual body shape has numerous applications in various domains
such as healthcare, fashion and personalized entertainment. Most of the depth based whole …

Artificial intelligence techniques have been increasingly applied in healthcare to help in
many areas, from assisting clinical diagnoses to preventing diseases. In this paper, a …

We describe a method for estimating parametric 3D models of the human body from RGB-D
sensor scans. We estimate both the pose and shape of the body. Our method uses a …

Research tasks related to human body analysis have been drawing a lot of attention in
computer vision area over the last few decades, considering its potential benefits on our day …

With the rise of some concepts such as “Digital Earth” and “digital city,” how to realize the
three‐dimensional reconstruction and visualization of the urban art landscape is becoming a …

Shape deformation is a fundamental problem in computer graphics and computer vision,
with numerous applications in fields such as animation, medical imaging, robotics to cite a …

Anthropometry plays a critical role across numerous sectors, particularly within healthcare
and fashion, by facilitating the analysis of the human body structure. The significance of …

The need for an automatization in anthropometric body measurements estimation mainly
arises from the time-consuming and inefficient process of manual tape measuring of a …

Anthropometric analysis of the human body is gaining more and more attention in the field of
computer vision due to its usefulness in fields such as nutrition, medicine, the fashion …

This paper presents an approach that utilizes deep recurrent neural networks to predict body
shape changes in individuals undergoing dietetic treatment. It contributes to computational …