The stable and reliable supply of electric power is strongly related to the normal social
production. In recent years, power transmission lines inspection based on remote sensing …

Body measurement plays an important role in the breeding and production of dairy cows.
Body measurement is mainly done manually, which is laborious, imprecise, and prone to …

Hair is one of the most challenging objects to reconstruct due to its micro-scale structure and
a large number of repeated strands with heavy occlusions. In this paper, we present the first …

This paper presents an accurate and robust dense 3D reconstruction system for detail
preserving surface modeling of large-scale scenes from multi-view images, which we named …

Many methods have been proposed to extract line segment (LS) correspondences for
images with viewpoint variations. However, the matching performance on images with …

Pipes are the basic building block in many industrial sites like electricity and chemical
plants. Although pipes are merely cylindrical primitives which can be defined by axis and …

In this work, we develop a new surface reconstruction pipeline that combines monocular
camera images and LiDAR measurements from a moving sensor rig to reconstruct dense 3D …

Structure from Motion (SfM) often fails to estimate accurate poses in environments that lack
suitable visual features. In such cases, the quality of the final 3D mesh, which is contingent …

Three-dimensional (3D) reconstruction of wiry structures from vision suffers from thin
geometry, lack of texture, and severe self-occlusions. We propose an online 3D edge …

Recently, there has been a growing interest in learningbased explicit methods due to their
ability to respect the original input and preserve details. However, the connectivity on …