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2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012
Recently RGB-D sensors have become very popular in the area of Simultaneous Localisation and Mapping (SLAM). The major advantage of these sensors is that they provide a rich source of 3D information at relatively low cost. Unfortunately, these sensors in their current forms only have a range accuracy of up to 4 metres.
Gibson Hu +4 more
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Recently RGB-D sensors have become very popular in the area of Simultaneous Localisation and Mapping (SLAM). The major advantage of these sensors is that they provide a rich source of 3D information at relatively low cost. Unfortunately, these sensors in their current forms only have a range accuracy of up to 4 metres.
Gibson Hu +4 more
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RGB-D Semantic Segmentation: A Review
2018 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 2018Semantic segmentation aims at giving a class label for each pixel on the image according to its semantic meaning. This problem is one of the most challenging tasks in computer vision, and has received a lot of attention from the computer vision community.
Yaosi Hu +2 more
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Unsupervised Segmentation of RGB-D Images
2015While unsupervised segmentation of RGB images has never led to results comparable to supervised segmentation methods, a surprising message of this paper is that unsupervised image segmentation of RGB-D images yields comparable results to supervised segmentation.
Zhuo Deng, Longin Jan Latecki
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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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Label propagation in RGB-D video
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017We propose a new method for the propagation of semantic labels in RGB-D video of indoor scenes given a set of ground truth keyframes. Manual labeling of all pixels in every frame of a video sequence is labor intensive and costly, yet required for training and testing of semantic segmentation methods.
Md. Alimoor Reza +3 more
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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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2018
Saliency cuts aims to segment salient objects from a given saliency map. The existing saliency cuts methods focus on dealing with RGB images and videos, but ignore the exploration of depth cue, which limit their performance on RGB-D images. In this paper, we propose a novel saliency cuts method on RGB-D images, which utilizes both color and depth cues ...
Yuantian Wang +3 more
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Saliency cuts aims to segment salient objects from a given saliency map. The existing saliency cuts methods focus on dealing with RGB images and videos, but ignore the exploration of depth cue, which limit their performance on RGB-D images. In this paper, we propose a novel saliency cuts method on RGB-D images, which utilizes both color and depth cues ...
Yuantian Wang +3 more
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DPTracker: Dynamic prompter for RGB-D tracking [PDF]
Pattern Recognition LettersRGB-D object tracking aims to accurately localize a target across video frames by jointly leveraging RGB and depth modalities. However, existing RGB-D trackers often suffer from limited adaptability to varying scene conditions and inconsistent reliability of modalities. To address these challenges, we propose DPTracker (Dynamic Prompt Tracker), a novel
Zhao, J. +4 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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