Results 21 to 30 of about 24,057 (250)

Fusion in dissimilarity space for RGB-D person re-identification

Array, 2021
Person re-identification (Re-id) is the task of recognizing people across different non-overlapping sensors of a camera network. Despite the recent advances with deep learning (DL) models for multi-modal fusion, state-of-the-art Re-id approaches fail to ...
Md Kamal Uddin, Antony Lam, Hisato Fukuda, Yoshinori Kobayashi, Yoshinori Kuno   +4 more
doaj   +1 more source

Robust 3D Reconstruction With an RGB-D Camera [PDF]

IEEE Transactions on Image Processing, 2014
We present a novel 3D reconstruction approach using a low-cost RGB-D camera such as Microsoft Kinect. Compared with previous methods, our scanning system can work well in challenging cases where there are large repeated textures and significant depth missing problems.
Kangkan Wang, Guofeng Zhang 0001, Hujun Bao   +2 more
openaire   +2 more sources

On 3D Reconstruction Using RGB-D Cameras

Digital, 2022
The representation of the physical world is an issue that concerns the scientific community studying computer vision, more and more. Recently, research has focused on modern techniques and methods of photogrammetry and stereoscopy with the aim of reconstructing three-dimensional realistic models with high accuracy and metric information in a short time.
Kyriaki A. Tychola, Ioannis Tsimperidis, George A. Papakostas   +2 more
openaire   +1 more source

COMPARISON BETWEEN RGB AND RGB-D CAMERAS FOR SUPPORTING LOW-COST GNSS URBAN NAVIGATION [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018
A pure GNSS navigation is often unreliable in urban areas because of the presence of obstructions, thus preventing a correct reception of the satellite signal.
L. Rossi, C. I. De Gaetani, D. Pagliari, E. Realini, M. Reguzzoni, L. Pinto   +5 more
doaj   +1 more source

Person Re-Identification with RGB–D and RGB–IR Sensors: A Comprehensive Survey

Sensors, 2023
Learning about appearance embedding is of great importance for a variety of different computer-vision applications, which has prompted a surge in person re-identification (Re-ID) papers.
Md Kamal Uddin, Amran Bhuiyan, Fateha Khanam Bappee, Md Matiqul Islam, Mahmudul Hasan   +4 more
doaj   +1 more source

Enhanced RGB-D Mapping Method for Detailed 3D Indoor and Outdoor Modeling

Sensors, 2016
RGB-D sensors (sensors with RGB camera and Depth camera) are novel sensing systems that capture RGB images along with pixel-wise depth information. Although they are widely used in various applications, RGB-D sensors have significant drawbacks including ...
Shengjun Tang, Qing Zhu, Wu Chen, Walid Darwish, Bo Wu, Han Hu, Min Chen   +6 more
doaj   +1 more source

A FREQUENCY-DRIFT COMPENSATED CLOSED-FORM SOLUTION FOR STEREO RGB-D MAPPING [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
In this work, we present a frequency-drift compensated (Fd-C) closed-form solution for stereo RGB-D SLAM. The intrinsic parameters for each sensor are first obtained with a standard camera calibration process and the extrinsic orientation parameters ...
S. J. Tang, S. J. Tang, Q. Zhu, W. Chen, W. X. Wang, Y. Li, W. Darwish, W. B. Li   +7 more
doaj   +1 more source

Reduced Calibration Strategy Using a Basketball for RGB-D Cameras

Mathematics, 2022
RGB-D cameras produce depth and color information commonly used in the 3D reconstruction and vision computer areas. Different cameras with the same model usually produce images with different calibration errors. The color and depth layer usually requires
Luis-Rogelio Roman-Rivera, Israel Sotelo-Rodríguez, Jesus Carlos Pedraza-Ortega, Marco Antonio Aceves-Fernandez, Juan Manuel Ramos-Arreguín, Efrén Gorrostieta-Hurtado   +5 more
doaj   +1 more source

Dense visual SLAM for RGB-D cameras [PDF]

2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013
In this paper, we propose a dense visual SLAM method for RGB-D cameras that minimizes both the photometric and the depth error over all pixels. In contrast to sparse, feature-based methods, this allows us to better exploit the available information in the image data which leads to higher pose accuracy.
Christian Kerl, Jürgen Sturm, Daniel Cremers   +2 more
openaire   +1 more source

Feature-based RGB-D camera pose optimization for real-time 3D reconstruction

Computational Visual Media, 2017
In this paper we present a novel feature-based RGB-D camera pose optimization algorithm for real-time 3D reconstruction systems. During camera pose estimation, current methods in online systems suffer from fast-scanned RGB-D data, or generate inaccurate ...
Chao Wang, Xiaohu Guo
doaj   +1 more source