Abstract 3D object recognition and pattern recognition are active and fast-growing research
areas in the field of computer vision. It is mandatory to define the pattern class, feature …

In the past ten years, research on face recognition has shifted to using 3D facial surfaces, as
3D geometric information provides more discriminative features. This comprehensive survey …

3D object recognition in cluttered scenes is a rapidly growing research area. Based on the
used types of features, 3D object recognition methods can broadly be divided into two …

In this article, we provide a detailed survey of 3D Morphable Face Models over the 20 years
since they were first proposed. The challenges in building and applying these models …

One of the main modules in a face recognition system is feature extraction, which has a
significant effect on the whole system performance. In the past decades, various types of …

We present a fully-automatic statistical 3D shape modeling approach and apply it to a large
dataset of 3D images, the Headspace dataset, thus generating the first public shape-and …

We present a fully automatic pipeline to train 3D Morphable Models (3DMMs), with
contributions in pose normalisation, dense correspondence using both shape and texture …

Pandemic orang tidak memiliki akses bebas ke Gym. Pentingnya menjaga tubuh agar tetap
bugar. Ini dapat diatasi dengan Human Pose Estimation teknik Computer Vision. Data …

Three-dimensional (3D) face recognition has been extensively investigated in the last two
decades due to its wide range of applications in many areas, such as security and forensics …

3D face reconstruction algorithms from images and videos are applied to many fields, from
plastic surgery to the entertainment sector, thanks to their advantageous features. However …