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Vision-based hand gesture recognition from RGB video data using SVM

Other Conferences, 2019
With the growing number of population in the world nowadays, novel human-computer interaction systems and techniques can be used to help improve their quality of life. A gesture based technology can help to maintain the safety and needs of the disable as
Fahmid Al Farid, N. Hashim, J. Abdullah
semanticscholar   +1 more source

TexMesh: Reconstructing Detailed Human Texture and Geometry from RGB-D Video

European Conference on Computer Vision, 2020
We present TexMesh, a novel approach to reconstruct detailed human meshes with high-resolution full-body texture from RGB-D video. TexMesh enables high quality free-viewpoint rendering of humans.
Tiancheng Zhi   +5 more
semanticscholar   +1 more source

Inter-plane prediction for RGB video coding

2004 International Conference on Image Processing, 2004. ICIP '04., 2005
This paper presents an efficient video coding method in RGB space. Generally RGB space is regarded as a bad space from a compression point of view. Each RGB component contains the color information along with luminance information. This redundancy degrades the coding efficiency.
null Woo-Shik Kim   +2 more
openaire   +1 more source

Generative adversarial networks for generating RGB-D videos

2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2018
Generative adversarial networks(GANs) have been successfully applied for generating high quality natural images and have been extended to the generation of RGB videos and 3D volume data. In this paper we consider the task of generating RGB-D videos, which is less extensively studied and still challenging.
Yuki Nakahira, Kazuhiko Kawamoto
openaire   +1 more source

MCD-Net: Toward RGB-D Video Inpainting in Real-World Scenes

IEEE Transactions on Image Processing
Video inpainting gains an increasing amount of attention ascribed to its wide applications in intelligent video editing. However, despite tremendous progress made in RGB video inpainting, the existing RGB-D video inpainting models are still incompetent ...
Jiacheng Hou   +4 more
semanticscholar   +1 more source

Neural RGB®D Sensing: Depth and Uncertainty From a Video Camera

Computer Vision and Pattern Recognition, 2019
Depth sensing is crucial for 3D reconstruction and scene understanding. Active depth sensors provide dense metric measurements, but often suffer from limitations such as restricted operating ranges, low spatial resolution, sensor interference, and high ...
Chao Liu   +4 more
semanticscholar   +1 more source

In-hand Object Scanning via RGB-D Video Segmentation

IEEE International Conference on Robotics and Automation, 2019
This paper proposes a technique for 3D object scanning via in-hand manipulation, in which an object reoriented in front of a video camera with multiple grasps and regrasps.
Fan Wang, Kris K. Hauser
semanticscholar   +1 more source

HSVCNN: CNN-Based Hyperspectral Reconstruction from RGB Videos

2018 25th IEEE International Conference on Image Processing (ICIP), 2018
Hyperspectral video acquisition usually requires high complexity hardware and reconstruction algorithms. In this paper, we propose a low complexity CNN-based method for hyperspectral reconstruction from ubiquitous RGB videos, which effectively exploits the temporal redundancies within RGB videos and generates high-quality hyperspectral output ...
Huiqun Li   +5 more
openaire   +1 more source

Eulerian Magnification of Multi-Modal RGB-D Video for Heart Rate Estimation

IEEE International Symposium on Medical Measurements and Applications, 2018
Eulerian Video Magnification (EVM) has been shown to be highly effective for non-contact, unobtrusive, and non-invasive patient heart rate (HR) estimation systems.
Yasmina Souley Dosso   +2 more
semanticscholar   +1 more source

A Video Retargeting Technique for RGB-D Camera

2014
This paper presents a content aware video retargeting technique with the help of an RGB-D camera based on the detection of saliency objects. The content aware image resizing algorithm requires some energy terms to separate the main contents and the background.
Huei-Yung Lin   +2 more
openaire   +1 more source

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