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 …

Automatic facial expression recognition constitutes an active research field due to the latest
advances in computing technology that make the user's experience a clear priority. The …

As a fundamental and critical task in various visual applications, image matching can identify
then correspond the same or similar structure/content from two or more images. Over the …

In this paper, we present a large-scale detailed 3D face dataset, FaceScape, and propose a
novel algorithm that is able to predict elaborate riggable 3D face models from a single image …

Learning a model of facial shape and expression from 4D scans Page 1 Learning a model
of facial shape and expression from 4D scans TIANYE LI∗†, University of Southern …

We propose a novel end-to-end deep scene flow model, called PointPWC-Net, that directly
processes 3D point cloud scenes with large motions in a coarse-to-fine fashion. Flow …

Accurate estimation of 3D human motion from monocular video requires modeling both
kinematics (body motion without physical forces) and dynamics (motion with physical …

Limited by the nature of the low-dimensional representational capacity of 3DMM, most of the
3DMM-based face reconstruction (FR) methods fail to recover high-frequency facial details …

As a classic statistical model of 3D facial shape and texture, 3D Morphable Model (3DMM) is
widely used in facial analysis, eg, model fitting, image synthesis. Conventional 3DMM is …

Before the deep learning revolution, many perception algorithms were based on runtime
optimization in conjunction with a strong prior/regularization penalty. A prime example of this …