Results 81 to 90 of about 14,413,856 (151)

Gaussian-plus-SDF SLAM: High-fidelity 3D reconstruction at 150+ fps

Computational Visual Media
While recent Gaussian-based SLAM methods achieve photorealistic reconstruction from RGB-D data, their computational performance remains a critical bottleneck.
Zhexi Peng, Kun Zhou, Tianjia Shao
doaj   +1 more source

A Category-Specific Prompt Strategy for Semantic 3D Indoor Mapping Using RGB-D Camera [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Semantic 3D indoor mapping often depends on supervised learning and large annotated datasets, limiting scalability across diverse environments. This work introduces a category-specific prompt strategy for semantic 3D mapping using RGB-D cameras ...
J. Hou, V. Volland, S. Karam, D. Iwaszczuk   +3 more
doaj   +1 more source

An RGB‐D Approach Assisted by Foundation Models for Reconstructing Bedforms With Artificial Vegetation

Journal of Geophysical Research: Earth Surface, Volume 131, Issue 10, October 2026.
Abstract Detecting sand beds in laboratory sediment experiments is challenging, especially when artificial vegetation or other structures are present. RGB‐D cameras offer fast, high‐resolution, and low‐cost sand bed reconstruction. However, the commonly applied Simultaneous Localization and Mapping (SLAM)‐based approaches for RGB‐D data often fail on ...
Xinya Liang, Yunsong Wang, Chao Liu, Jiarui Lei   +3 more
wiley   +1 more source

Minimal Texture Dataset for RGB-D SLAM

<p>Supplement to Fontal A. et al, "<em>SID-SLAM: Semi-Direct Information-Driven RGB-D SLAM</em>", IEEE Robotics and Automation Letters, 2023 (<a href="DOI" target="_blank" rel="noopener">https://doi.org/10.1109/LRA.2023.3251722<
Fontan, Alejandro, Triebel, Rudolph, Civera, Javier, Oliva Maza, Laura, Giubilato, Riccardo   +4 more
core   +1 more source

ＲGB-DSLAM Visual Odometry Optimization Algorithm

Journal of Harbin University of Science and Technology, 2020
In view of the long time-consuming and poor precision of ＲGB-D SLAM algorithm in the field ofvisual SLAM，an implementation scheme of ＲGB-D SLAM visual odometry is proposed.
DONG Jing-wei, JIANG Yi-ming, HAN Zhi-yu
doaj   +1 more source

Transferable Deep Reinforcement Learning With Edge‐Contour‐Depth Fusion for Autonomous Wireless Capsule Endoscopy Navigation

Advanced Science, Volume 13, Issue 49, 3 September 2026.
This study presents an anatomical landmark‐guided DRL framework for autonomous wireless capsule endoscopy navigation. Using a lightweight edge‐contour‐depth fusion module, it achieves over 97% coverage across diverse gastric anatomies. To ensure reliability, a two‐stage sim‐to‐real pipeline with an adaptive dynamic programming controller mitigates ...
Haoxuan Wu, Haitao Gao, Qingyang Liu, Sishen Yuan, Haiyang Fang, Mingwu Su, Baijia Liang, Yongzun Yang, Long Bai, Wenzhen Dong, Dihong Xie, Shijian Su, Jiewen Lai, Shing Shin Cheng, Zhen Li, Xiuli Zuo, Hongliang Ren   +16 more
wiley   +1 more source

RGB-D Visual Simultaneous Localization and Mapping (SLAM) Application

, 2019
Simultaneous localization and mapping (SLAM), as one of the important techniques for navigation, robotic mapping and odometry, has been paid a lot of attention by both academia and industry.
Wang, Weihan
core  

Planes Detection for Robust Localization and Mapping in RGB-D SLAM Systems

, 2015
International audienceThis paper describes an extension of the popular simultaneous localisation and mapping system (RGB-D SLAM) introduced by Endres et al. In [2]. RGB-D SLAM uses a moving RGB-D sensor (i.e.
El Houssine Bouyakhf, David Roussel, Elchaoui Elghor, Hakim, Fakhreddine Ababsa, Bouyakhf, El Houssine, Hakim Elchaoui Elghor, Roussel, David, Ababsa, Fakhr-Eddine   +7 more
core   +1 more source

Human‐in‐the‐Loop Object Segmentation for 3D Gaussian Splatting via Finger‐based VR Interface

Advanced Intelligent Systems, Volume 8, Issue 8, August 2026.
This study introduces a human‐in‐the‐loop segmentation framework for 3D Gaussian Splatting that integrates real‐time optimization with intuitive VR‐based finger prompting. Compared with existing automatic, learning‐based methods, it achieves significantly higher accuracy and reduced segmentation time.
Yongseok Lee, Hyunreal Park, Hyunsu Kim, Harim Ji, Dongho Yee, Dongjun Lee   +5 more
wiley   +1 more source

A Post-Rectification Approach of Depth Images of Kinect v2 for 3D Reconstruction of Indoor Scenes

ISPRS International Journal of Geo-Information, 2017
3D reconstruction of indoor scenes is a hot research topic in computer vision. Reconstructing fast, low-cost, and accurate dense 3D maps of indoor scenes have applications in indoor robot positioning, navigation, and semantic mapping.
Jichao Jiao, Libin Yuan, Weihua Tang, Zhongliang Deng, Qi Wu   +4 more
doaj   +1 more source