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Vision-based hand gesture recognition from RGB video data using SVM
Other Conferences, 2019With 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
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TexMesh: Reconstructing Detailed Human Texture and Geometry from RGB-D Video
European Conference on Computer Vision, 2020We 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
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Inter-plane prediction for RGB video coding
2004 International Conference on Image Processing, 2004. ICIP '04., 2005This 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
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Generative adversarial networks for generating RGB-D videos
2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2018Generative 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
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MCD-Net: Toward RGB-D Video Inpainting in Real-World Scenes
IEEE Transactions on Image ProcessingVideo 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
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Neural RGB®D Sensing: Depth and Uncertainty From a Video Camera
Computer Vision and Pattern Recognition, 2019Depth 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
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In-hand Object Scanning via RGB-D Video Segmentation
IEEE International Conference on Robotics and Automation, 2019This 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
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HSVCNN: CNN-Based Hyperspectral Reconstruction from RGB Videos
2018 25th IEEE International Conference on Image Processing (ICIP), 2018Hyperspectral 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
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Eulerian Magnification of Multi-Modal RGB-D Video for Heart Rate Estimation
IEEE International Symposium on Medical Measurements and Applications, 2018Eulerian 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
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A Video Retargeting Technique for RGB-D Camera
2014This 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
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