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Seamless Texture Optimization for RGB-D Reconstruction
IEEE Transactions on Visualization and Computer Graphics, 2023Restoring high-fidelity textures for 3D reconstructed models are an increasing demand in AR/VR, cultural heritage protection, entertainment, and other relevant fields. Due to geometric errors and camera pose drifting, existing texture mapping algorithms are either plagued by blurring and ghosting or suffer from undesirable visual seams.
Yanping Fu +5 more
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2015
For human action recognition task, the traditional methods are based on the RGB data captured by webcam, while the popular RGB action databases\footnote{In this work, RGB action database means the one that is captured by a conventional RGB camera. Only RGB data are available in the RGB action database; depth data are not available.
Chengcheng Jia +3 more
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For human action recognition task, the traditional methods are based on the RGB data captured by webcam, while the popular RGB action databases\footnote{In this work, RGB action database means the one that is captured by a conventional RGB camera. Only RGB data are available in the RGB action database; depth data are not available.
Chengcheng Jia +3 more
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Compressive Temporal RGB-D Imaging
Imaging and Applied Optics 2017 (3D, AIO, COSI, IS, MATH, pcAOP), 2017We 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
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Re-identification with RGB-D Sensors
2012People re-identification is a fundamental operation for any multi-camera surveillance scenario. Until now, it has been performed by exploiting primarily appearance cues, hypothesizing that the individuals cannot change their clothes. In this paper, we relax this constraint by presenting a set of 3D soft-biometric cues, being insensitive to appearance ...
B. I. Barbosa +4 more
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2017 14th International Bhurban Conference on Applied Sciences and Technology (IBCAST), 2017
In recent years, a low-cost range sensing technology (such as Kinect) has attracted many researchers in vision community. Despite being promising for indoor navigation, continuous operation in a challenging environments is still a fundamental problem.
Usman Qayyum +2 more
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In recent years, a low-cost range sensing technology (such as Kinect) has attracted many researchers in vision community. Despite being promising for indoor navigation, continuous operation in a challenging environments is still a fundamental problem.
Usman Qayyum +2 more
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RGB-D video content identification
2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013This paper proposes the first content identification (ID) system for depth video as well as a first hybrid content ID system for synchronized RGB and depth (RGB-D) video. The proposed systems are tested on a public RGB-D dataset. The hybrid system demonstrates significant performance gains over RGB-alone or depth-alone systems, while depth and RGB ...
Honghai Yu, Pierre Moulin, Sujoy Roy
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RGB-D-Based Face Reconstruction and Recognition
IEEE Transactions on Information Forensics and Security, 2014Most RGB-D based research focuses on gesture analysis, scene reconstruction and SLAM, but only few study its impacts on face recognition. A common yet challenging scenario considered in face recognition across pose takes a single 2D face of frontal pose as the galley and other poses as the probe set.
Gee-Sern Hsu +3 more
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Multimodal Person Reidentification Using RGB-D Cameras
IEEE Transactions on Circuits and Systems for Video Technology, 2016Person reidentification consists of recognizing individuals across different sensors of a camera network. Whereas clothing appearance cues are widely used, other modalities could be exploited as additional information sources, like anthropometric measures and gait.
PALA, FEDERICO +3 more
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Visual SLAM using multiple RGB-D cameras
2015 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2015In this paper, we present a solution to visual simultaneous localization and mapping (SLAM) using multiple RGB-D cameras. In the SLAM system, we integrate visual and depth measurements from those RGB-D cameras to achieve more robust pose tracking and more detailed environmental mapping in unknown environments.
Shaowu Yang +4 more
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RGB-‘D’ Saliency Detection With Pseudo Depth
IEEE Transactions on Image Processing, 2019Recent studies have shown the effectiveness of using depth information in salient object detection. However, the most commonly seen images so far are still RGB images that do not contain the depth data. Meanwhile, the human brain can extract the geometric model of a scene from an RGB-only image and hence provides a 3D perception of the scene.
Xiaolin Xiao, Yicong Zhou, Yue-Jiao Gong
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