Camera-based respiration monitoring is currently focused on the continuous measurement
of respiratory rate, overlooking its potential in lung health assessment. Inspired by …

Abstract iToF is a prevalent cost-effective technology for 3D perception. While its reliance on
multi-measurement commonly leads to reduced performance in dynamic environments …

Recent advancements in Time-of-Flight (ToF) depth denoising have achieved impressive
results in removing Multi-Path Interference (MPI) and shot noise. However, existing methods …

Abstract Indirect Time-of-Flight (iToF) cameras are a widespread type of 3D sensor, which
perform multiple captures to obtain depth values of the captured scene. While recent …

The widespread use of Time-of-Flight (ToF) depth cameras in academia and industry is
limited by noise, such as Multi-Path-Interference (MPI) and shot noise, which hampers their …

Depth images captured by Time-of-Flight (ToF) sensors are subject to severe noise. Recent
approaches based on deep neural networks achieve good depth denoising performance in …

This paper introduces a new dataset RWU3D that consists of ToF depth images and the
corresponding amplitude images as well as high-resolution Stereo images and the …

There has been significant progress in improving the accuracy and quality of consumer-level
dense depth sensors. Nevertheless, there remains a common depth pixel artifact which we …

Eliminating Multi-Path Interference (MPI) stands as a significant unresolved challenge in the
domain of depth estimation using Time-of-Flight (ToF) cameras. ToF data is typically …

The indirect time-of-flight camera measures depth based on the phase shift between
modulated laser and its reflected light. However, when there are multi-paths due to …