This article provides a comprehensive review of deep learning-based structural health
monitoring (DL-based SHM). It encompasses a broad spectrum of DL theories and …

Light Detection and Ranging (LiDAR) is a 3D imaging technique, widely used in many
applications such as augmented reality, automotive, machine vision, spacecraft navigation …

Measures of human movement dynamics can predict outcomes like injury risk or
musculoskeletal disease progression. However, these measures are rarely quantified in …

Recovering 3D structure and camera motion from images has been a long-standing focus of
computer vision research and is known as Structure-from-Motion (SfM). Solutions to this …

Quantifying movement is critical for understanding animal behavior. Advances in computer
vision now enable markerless tracking from 2D video, but most animals move in 3D. Here …

Training accurate 3D human pose estimators requires large amount of 3D ground-truth data
which is costly to collect. Various weakly or self supervised pose estimation methods have …

In the last few decades, Structure from Motion (SfM) and visual Simultaneous Localization
and Map** (visual SLAM) techniques have gained significant interest from both the …

Accurate, precise and rapid acquisition of topographic data is fundamental to many sub-
disciplines of physical geography. Technological developments over the past few decades …

In this work, we tackle the essential problem of scale inconsistency for self supervised joint
depth-pose learning. Most existing methods assume that a consistent scale of depth and …

Visual SLAM (simultaneous localization and map**) refers to the problem of using
images, as the only source of external information, in order to establish the position of a …