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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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2020
A new family of affordable active 3D imaging systems referred to as range cameras or RGB-D cameras has emerged in the last decade. These systems operate in the range of 0.4–10 m and are targeted directly at cost-sensitive consumers. They are typically specialized for capturing dynamic human activities and are designed to interfere only minimally with ...
Drouin, Marc-Antoine, Seoud, Lama
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A new family of affordable active 3D imaging systems referred to as range cameras or RGB-D cameras has emerged in the last decade. These systems operate in the range of 0.4–10 m and are targeted directly at cost-sensitive consumers. They are typically specialized for capturing dynamic human activities and are designed to interfere only minimally with ...
Drouin, Marc-Antoine, Seoud, Lama
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Gender Recognition on RGB-D Image
2020 IEEE International Conference on Image Processing (ICIP), 2020In this paper, we propose a deep-learning approach for human gender classification on RGB-D images. Unlike most of the existing methods, which use hand-crafted features from the human face, we exploit local information from the head and global information from the whole body to classify people’s gender.
Xiaoxiong Zhang 0001 +4 more
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Wound measurement by RGB-D camera
Machine Vision and Applications, 2018The robot and computer vision community has seen a lot of novelties developed in the past few years as a result of the appearance of cheap RGB-D sensors spearheaded by the Kinect sensor. In this paper, the feasibility of using an RGB-D camera in detecting, segmenting, reconstructing and measuring chronic wounds in 3D is explored.
Damir Filko +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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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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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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A catadioptric extension for RGB-D cameras
2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014The typically restricted field of view of visual sensors often imposes limitations on the performance of localization and simultaneous localization and mapping (SLAM) approaches. In this paper, we propose and analyze the combination of an RGB-D camera with two planar mirrors to split the field of view such that it covers both front and rear view of a ...
Felix Endres +3 more
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Incremental registration of RGB-D images
2012 IEEE International Conference on Robotics and Automation, 2012An RGB-D camera is a sensor which outputs range and color information about objects. Recent technological advances in this area have introduced affordable RGB-D devices in the robotics community. In this paper, we present a real-time technique for 6-DoF camera pose estimation through the incremental registration of RGB-D images.
Ivan Dryanovski +2 more
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2017 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2017
The aim of this paper is to estimate the ego-motion of an RGB-D camera in dynamic environments. A semi-direct motion estimation pipeline is modified for the RGB-D camera. In order to avoid the impact of dynamic objects, a new mapping method based on scoring mechanism is proposed, which can effectively remove feature points on dynamic objects and ...
Dongsheng Yang 0007 +4 more
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The aim of this paper is to estimate the ego-motion of an RGB-D camera in dynamic environments. A semi-direct motion estimation pipeline is modified for the RGB-D camera. In order to avoid the impact of dynamic objects, a new mapping method based on scoring mechanism is proposed, which can effectively remove feature points on dynamic objects and ...
Dongsheng Yang 0007 +4 more
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