An overview of depth cameras and range scanners based on time-of-flight technologies
Abstract Time-of-flight (TOF) cameras are sensors that can measure the depths of scene
points, by illuminating the scene with a controlled laser or LED source and then analyzing …
points, by illuminating the scene with a controlled laser or LED source and then analyzing …
A review of indirect time-of-flight technologies
Indirect time-of-flight (iToF) cameras operate by illuminating a scene with modulated light
and inferring depth at each pixel by combining the back-reflected light with different gating …
and inferring depth at each pixel by combining the back-reflected light with different gating …
Comparison of kinect v1 and v2 depth images in terms of accuracy and precision
O Wasenmüller, D Stricker - … Vision–ACCV 2016 Workshops: ACCV 2016 …, 2017 - Springer
RGB-D cameras like the Microsoft Kinect had a huge impact on recent research in Computer
Vision as well as Robotics. With the release of the Kinect v2 a new promising device is …
Vision as well as Robotics. With the release of the Kinect v2 a new promising device is …
[图书][B] Machine vision algorithms and applications
Die zweite Auflage dieses erfolgreichen Lehrbuchs zum maschinellen Sehen ist vollständig
aktualisiert, überarbeitet und erweitert, um die Entwicklungen der vergangenen Jahre auf …
aktualisiert, überarbeitet und erweitert, um die Entwicklungen der vergangenen Jahre auf …
Evaluation of HoloLens tracking and depth sensing for indoor mapping applications
P Hübner, K Clintworth, Q Liu, M Weinmann… - Sensors, 2020 - mdpi.com
The Microsoft HoloLens is a head-worn mobile augmented reality device that is capable of
mapping its direct environment in real-time as triangle meshes and localize itself within …
mapping its direct environment in real-time as triangle meshes and localize itself within …
High throughput phenotyping of cotton plant height using depth images under field conditions
Plant height is an important phenotypic trait that can be used not only as an indicator of
overall plant growth but also a parameter to calculate advanced traits such as biomass and …
overall plant growth but also a parameter to calculate advanced traits such as biomass and …
PST: Plant segmentation transformer for 3D point clouds of rapeseed plants at the podding stage
Segmentation of plant point clouds to obtain high-precise morphological traits is essential for
plant phenotyping. Although the fast development of deep learning has boosted much …
plant phenotyping. Although the fast development of deep learning has boosted much …
Indepth: Real-time depth inpainting for mobile augmented reality
Y Zhang, T Scargill, A Vaishnav… - Proceedings of the …, 2022 - dl.acm.org
Mobile Augmented Reality (AR) demands realistic rendering of virtual content that
seamlessly blends into the physical environment. For this reason, AR headsets and recent …
seamlessly blends into the physical environment. For this reason, AR headsets and recent …
Depthsynth: Real-time realistic synthetic data generation from cad models for 2.5 d recognition
Recent progress in computer vision has been dominated by deep neural networks trained
over larges amount of labeled data. Collecting such datasets is however a tedious, often …
over larges amount of labeled data. Collecting such datasets is however a tedious, often …
Recent advances in 3D data acquisition and processing by time-of-flight camera
Y He, S Chen - IEEE Access, 2019 - ieeexplore.ieee.org
Three-dimensional (3D) data acquisition and real-time processing is a critical issue in an
artificial vision system. The developing time-of-flight (TOF) camera as a real-time vision …
artificial vision system. The developing time-of-flight (TOF) camera as a real-time vision …