High-quality indoor scene 3D reconstruction with RGB-D cameras: A brief review
High-quality 3D reconstruction is an important topic in computer graphics and computer
vision with many applications, such as robotics and augmented reality. The advent of …
vision with many applications, such as robotics and augmented reality. The advent of …
Characterizations of noise in Kinect depth images: A review
In this paper, we characterize the noise in Kinect depth images based on multiple factors
and introduce a uniform nomenclature for the types of noise. In the process, we briefly …
and introduce a uniform nomenclature for the types of noise. In the process, we briefly …
An efficient sampling-based method for online informative path planning in unknown environments
The ability to plan informative paths online is essential to robot autonomy. In particular,
sampling-based approaches are often used as they are capable of using arbitrary …
sampling-based approaches are often used as they are capable of using arbitrary …
Voxblox: Incremental 3d euclidean signed distance fields for on-board mav planning
Micro Aerial Vehicles (MAVs) that operate in unstructured, unexplored environments require
fast and flexible local planning, which can replan when new parts of the map are explored …
fast and flexible local planning, which can replan when new parts of the map are explored …
Real-time 3D reconstruction at scale using voxel hashing
Online 3D reconstruction is gaining newfound interest due to the availability of real-time
consumer depth cameras. The basic problem takes live overlap** depth maps as input …
consumer depth cameras. The basic problem takes live overlap** depth maps as input …
Kinect range sensing: Structured-light versus Time-of-Flight Kinect
Abstract Recently, the new Kinect One has been issued by Microsoft, providing the next
generation of real-time range sensing devices based on the Time-of-Flight (ToF) principle …
generation of real-time range sensing devices based on the Time-of-Flight (ToF) principle …
Registration with the point cloud library: A modular framework for aligning in 3-D
Registration is an important step when processing three-dimensional (3-D) point clouds.
Applications for registration range from object modeling and tracking, to simultaneous …
Applications for registration range from object modeling and tracking, to simultaneous …
Neurar: Neural uncertainty for autonomous 3d reconstruction with implicit neural representations
Implicit neural representations have shown compelling results in offline 3D reconstruction
and also recently demonstrated the potential for online SLAM systems. However, applying …
and also recently demonstrated the potential for online SLAM systems. However, applying …