An Overview of Depth Cameras and Range Scanners Based on Time-of-Flight Technologies

使用飞行时间传感器和深度学习的高通量且精确的牛3D扫描

High-Throughput and Accurate 3D Scanning of Cattle Using Time-of-Flight Sensors and Deep Learning

本研究提出一种基于飞行时间传感器和深度学习的高通量3D扫描系统，通过生成高保真点云实时重建牛的几何形状，经双重验证证明其能精确测量表型并生成高质量网格。

Overview of Scanner Invariant Representations

Pooled imaging data from multiple sources is subject to bias from each source. Studies that do not correct for these scanner/site biases at best lose statistical power, and at worst leave spurious correlations in their data. Estimation of the bias effects is non-trivial due to the paucity of data with correspondence across sites, so called "traveling phantom" data, which is expensive to collect. Nevertheless, numerous solutions leveraging direct correspondence have been proposed. In contrast to this, Moyer et al. (2019) proposes an unsupervised solution using invariant representations, one whi…

Development and accuracy evaluation of Coded Phase-shift 3D scanner

In this paper, we provide an overview of development of a structured light 3D-scanner based on combination of binary-coded patterns and sinusoidal phase-shifted fringe patterns called Coded Phase-shift technique. Further, we describe the experiments performed to evaluate measurement accuracy and precision of the developed system. A study of this kind is expected to be helpful in understanding the basic working of current structured-light 3D scanners and the approaches followed for their performance assessment.

A Solution for Crime Scene Reconstruction using Time-of-Flight Cameras

In this work, we propose a method for three-dimensional (3D) reconstruction of wide crime scene, based on a Simultaneous Localization and Mapping (SLAM) approach. We used a Kinect V2 Time-of-Flight (TOF) RGB-D camera to provide colored dense point clouds at a 30 Hz frequency. This device is moved freely (6 degrees of freedom) during the scene exploration. The implemented SLAM solution aligns successive point clouds using an 3D keypoints description and matching approach. This type of approach exploits both colorimetric and geometrical information, and permits reconstruction under poor illumina…

TIMo -- A Dataset for Indoor Building Monitoring with a Time-of-Flight Camera

We present TIMo (Time-of-flight Indoor Monitoring), a dataset for video-based monitoring of indoor spaces captured using a time-of-flight (ToF) camera. The resulting depth videos feature people performing a set of different predefined actions, for which we provide detailed annotations. Person detection for people counting and anomaly detection are the two targeted applications. Most existing surveillance video datasets provide either grayscale or RGB videos. Depth information, on the other hand, is still a rarity in this class of datasets in spite of being popular and much more common in other…

通过激光雷达进行密集三维重建：离体猪组织的比较研究

Dense 3D Reconstruction Through Lidar: A Comparative Study on Ex-vivo Porcine Tissue

本文通过离体猪组织定量评估激光雷达解剖表面重建，证明其相较学习型立体匹配在精度、延迟、帧率和鲁棒性上的优势，并揭示组织相关近红外穿透深度偏差。