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 …
Point-slam: Dense neural point cloud-based slam
We propose a dense neural simultaneous localization and mapping (SLAM) approach for
monocular RGBD input which anchors the features of a neural scene representation in a …
monocular RGBD input which anchors the features of a neural scene representation in a …
Loopy-slam: Dense neural slam with loop closures
L Liso, E Sandström, V Yugay… - Proceedings of the …, 2024 - openaccess.thecvf.com
Neural RGBD SLAM techniques have shown promise in dense Simultaneous Localization
And Mapping (SLAM) yet face challenges such as error accumulation during camera …
And Mapping (SLAM) yet face challenges such as error accumulation during camera …
Mips-fusion: Multi-implicit-submaps for scalable and robust online neural rgb-d reconstruction
We introduce MIPS-Fusion, a robust and scalable online RGB-D reconstruction method
based on a novel neural implicit representation-multi-implicit-submap. Different from existing …
based on a novel neural implicit representation-multi-implicit-submap. Different from existing …
Gaussian-slam: Photo-realistic dense slam with gaussian splatting
We present a dense simultaneous localization and mapping (SLAM) method that uses 3D
Gaussians as a scene representation. Our approach enables interactive-time reconstruction …
Gaussians as a scene representation. Our approach enables interactive-time reconstruction …
Surfelnerf: Neural surfel radiance fields for online photorealistic reconstruction of indoor scenes
Online reconstructing and rendering of large-scale indoor scenes is a long-standing
challenge. SLAM-based methods can reconstruct 3D scene geometry progressively in real …
challenge. SLAM-based methods can reconstruct 3D scene geometry progressively in real …
Di-fusion: Online implicit 3d reconstruction with deep priors
Previous online 3D dense reconstruction methods struggle to achieve the balance between
memory storage and surface quality, largely due to the usage of stagnant underlying …
memory storage and surface quality, largely due to the usage of stagnant underlying …
Evaluation of depth cameras for use in fruit localization and sizing: Finding a successor to kinect v2
Eight depth cameras varying in operational principle (stereoscopy: ZED, ZED2, OAK-D; IR
active stereoscopy: Real Sense D435; time of flight (ToF): Real Sense L515, Kinect v2 …
active stereoscopy: Real Sense D435; time of flight (ToF): Real Sense L515, Kinect v2 …
Uncle-slam: Uncertainty learning for dense neural slam
We present an uncertainty learning framework for dense neural simultaneous localization
and mapping (SLAM). Estimating pixel-wise uncertainties for the depth input of dense SLAM …
and mapping (SLAM). Estimating pixel-wise uncertainties for the depth input of dense SLAM …
Rtg-slam: Real-time 3d reconstruction at scale using gaussian splatting
We present Real-time Gaussian SLAM (RTG-SLAM), a real-time 3D reconstruction system
with an RGBD camera for large-scale environments using Gaussian splatting. The system …
with an RGBD camera for large-scale environments using Gaussian splatting. The system …