Non‐rigid registration computes an alignment between a source surface with a target
surface in a non‐rigid manner. In the past decade, with the advances in 3D sensing …

The understanding of body measurements and body shapes in and between populations is
important and has many applications in medicine, surveying, the fashion industry, fitness …

The SMPL body model is widely used for the estimation, synthesis, and analysis of 3D
human pose and shape. While popular, we show that SMPL has several limitations and …

The incidence of melanoma is increasing rapidly. This cancer has a good prognosis if
detected early. For this reason, various systems of skin lesion image analysis, which support …

Prior work to infer 3D texture use either texture atlases, which require uv-map**s and
hence have discontinuities, or colored voxels, which are memory inefficient and limited in …

Assisting people in efficiently producing visually plausible 3D characters has always been a
fundamental research topic in computer vision and computer graphics. Recent learning …

In recent years, deep learning (DL) has shown great potential in the field of dermatological
image analysis. However, existing datasets in this domain have significant limitations …

We present an automated approach to detect and longitudinally track skin lesions on 3D
total-body skin surface scans. The acquired 3D mesh of the subject is unwrapped to a 2D …

Human plays a key role in metaverse and digital twin systems and thus live three-
dimensional (3D) human shape reconstruction brings significant improvement for highly …

Background and objectives: Advanced artificial intelligence and machine learning have
great potential to redefine how skin lesions are detected, mapped, tracked and documented …