Results 221 to 230 of about 40,656 (261)

Compressive Temporal RGB-D Imaging

Imaging and Applied Optics 2017 (3D, AIO, COSI, IS, MATH, pcAOP), 2017
We report a compressive imaging system for high-speed color (RGB) video and range sensing based on the structured illumination. Random patterns are projected on the scene at a higher frame rate than that of the color camera. High-speed RGB-D scenes are reconstructed from a single 2D measurement via efficient algorithms.
Yuan, Xin, Sun, Yangyang, Pang, Shuo
openaire   +2 more sources

Thermal and RGB-D Imaging for Necrotizing Enterocolitis Detection

2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2020
Necrotizing enterocolitis (NEC) is a severe condition in neonates, typically involving inflammation in the small intestine. In this paper, a novel automated image acquisition and analysis system combining an infrared thermal camera with a RGB-D sensor is proposed for detection of NEC in preterm newborns.
Yangyu Shi, Pierre Payeur, Monique Frize, Erika Bariciak   +3 more
openaire   +1 more source

Hierarchical Image Segmentation Ensemble for Objectness in RGB-D Images

IEEE Transactions on Circuits and Systems for Video Technology, 2019
Objectness has recently become a standard step in many computer vision tasks. Among various techniques, those based on hierarchical image segmentation play a fundamental role for developments in new data modalities. In this paper, we address the problem of objectness in RGB-D images and propose a novel and effective approach, namely, hierarchical image
Huiqun Wang, Di Huang 0001, Kui Jia, Yunhong Wang 0001   +3 more
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RGB-D IBR

Proceedings of the 20th ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games, 2016
This paper presents an image-based rendering (IBR) system based on RGB-D images. The input of our system consists of RGB-D images captured at sparse locations in the scene and can be expanded by adding new RGB-D images. The sparsity of RGB-D images increases the usability of our system as the user need not capture a RGB-D image stream in a single shot,
Yeongyu Jeong, Haejoon Kim, Hyewon Seo, Frederic Cordier, Seungyong Lee 0001   +4 more
openaire   +1 more source

Fine-Grained Categorization From RGB-D Images

IEEE Transactions on Multimedia, 2022
In the field of computer vision, fine-grained visual categorization has attracted a lot of attention and made great progress due to convolutional neural networks and a large number of publicly available datasets. With next-generation sensing technology, RGB-D cameras can provide high-quality synchronized RGB and depth images for solving many computer ...
Yanhao Tan, Mohammad Muntasir Rahman, Yanfu Yan, Jian Xue 0002, Ling Shao 0001, Ke Lu 0002   +5 more
openaire   +1 more source

A Study on OSAS Diagnostics Supported by RGB-D Imaging

2018 41st International Conference on Telecommunications and Signal Processing (TSP), 2018
The paper is a pilot study on OSAS diagnostics using automated measurement of cranio-facial features by RGB-D sensors. OSAS - obstructive sleep apnea syndrome - becomes very often phenomenon in respirology affecting the quality of life in each age.
Jozef Volák, Dusan Koniar, Frantisek Jabloncík, Libor Hargas   +3 more
openaire   +1 more source

Efficient foreground extraction using RGB-D imaging

Multimedia Tools and Applications, 2013
Image segmentation is one of the most important topics in the field of computer vision. As a result, many image segmentation approaches have been proposed, and interactive methods based on energy minimization such as GrabCut, have shown successful results.
Sang-Wook Lee, Yongho Seo, Hyun Seung Yang   +2 more
openaire   +1 more source

A Robust RGB-D Image-Based SLAM System

2017
Visual SLAM is widely used in robotics and computer vision. Although there have been many excellent achievements over the past few decades, there are still some challenges. 2D feature-based SLAM algorithm has been suffering from the inaccurate or insufficient correspondences while dealing with the case of textureless or frequently repeating regions ...
Liangliang Pan, Jun Cheng 0002, Wei Feng 0009, Xiaopeng Ji   +3 more
openaire   +1 more source

Scale adaptive supervoxel segmentation of RGB-D image

2016 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2016
Superpixels are perceptually meaningful atomic regions that can effectively capture image features. We propose a novel scale adaptive supervoxel segmentation algorithm for RGB-D images, i.e., small supervoxels in content-dense regions (e.g., with high intensity or color variation) and large supervoxels in content-sparse regions.
Peng Xu, Jie Li 0040, Juan Yue, Xia Yuan
openaire   +1 more source

An approach to loop-closing based on RGB-D images

2013 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2013
To solve the problem of accuracy and robustness seriously affected by the external environment when loop-closing using vision for mobile robot, a method based on RGB-D image for loop-closing detection is proposed. The front area contour which will be used for contour matching is extracted from the depth information.
Fengda Zhao, Minzhe Sun, Xianshan Li, Xueguang Zhang   +3 more
openaire   +1 more source