Learning 3D shape representations from structured-light images for 3D reconstructions has
become popular in many fields. This paper presents a new approach integrating a fringe-to …

Three-dimensional (3D) shape acquisition of objects from a single-shot image has been
highly demanded by numerous applications in many fields, such as medical imaging, robotic …

In recent years, integrating structured light with deep learning has gained considerable
attention in three-dimensional (3D) shape reconstruction due to its high precision and …

Three-dimensional (3D) measurement methods based on fringe projection profilometry
(FPP) have been widely applied in industrial manufacturing. Most FPP methods adopt phase …

Integrating structured-light technique with deep learning for single-shot 3D imaging has
recently gained enormous attention due to its unprecedented robustness. This paper …

Single-shot 3D shape reconstruction integrating structured light and deep learning has
drawn considerable attention and achieved significant progress in recent years due to its …

Fringe projection profilometry (FPP) is widely applied to 3D measurements, owing to its
advantages of high accuracy, non-contact, and full-field scanning. Compared with most FPP …

The end-to-end networks have been successfully applied in fringe projection profilometry in
recent years for their high flexibility and fast speed. Most of them can predict the depth map …

Single-shot fringe projection profilometry (FPP) has become a more prevalently adopted
technique for retrieving the absolute phase values of the objects in intelligent manufacturing …

We introduce PoissonNet, an architecture for shape reconstruction that addresses the
challenge of recovering 3D shapes from points. Traditional deep neural networks face …