Results 1 to 10 of about 16,759,811 (301)
SCENE SEMANTIC SEGMENTATION FROM INDOOR RGB-D IMAGES USING ENCODE-DECODER FULLY CONVOLUTIONAL NETWORKS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 With increasing attention for the indoor environment and the development of low-cost RGB-D sensors, indoor RGB-D images are easily acquired. However, scene semantic segmentation is still an open area, which restricts indoor applications.
Z. Wang, T. Li, L. Pan, Z. Kang
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WE3DS: An RGB-D Image Dataset for Semantic Segmentation in Agriculture
Sensors, 2023 Smart farming (SF) applications rely on robust and accurate computer vision systems. An important computer vision task in agriculture is semantic segmentation, which aims to classify each pixel of an image and can be used for selective weed removal ...
Florian Kitzler +4 more
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Two-Stream Bidirectional Interaction Network Based on RGB-D Images for Duck Weight Estimation [PDF]
AnimalsAn automated non-contact weight measurement method for ducks is beneficial for preventing the stress response of ducks and, thus, promoting their healthy development.
Diqi Zhu +4 more
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Scene Recognition Based on Privilege Information and Attention Mechanism [PDF]
Zhengzhou Daxue xuebao. Gongxue ban, 2021 In the scene recognition, RGB images present appearance information and depth image contains geometry information，which complement each other. In order to use the complementary information contained in the depth images and the RGB images in the test ...
SUN Ning +3 more
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Fusion in dissimilarity space for RGB-D person re-identification
Array, 2021 Person re-identification (Re-id) is the task of recognizing people across different non-overlapping sensors of a camera network. Despite the recent advances with deep learning (DL) models for multi-modal fusion, state-of-the-art Re-id approaches fail to ...
Md Kamal Uddin +4 more
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3D Object Detection and Instance Segmentation from 3D Range and 2D Color Images
Sensors, 2021 Instance segmentation and object detection are significant problems in the fields of computer vision and robotics. We address those problems by proposing a novel object segmentation and detection system.
Xiaoke Shen, Ioannis Stamos
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RGB-D FACE RECOGNITION USING LBP-DCT ALGORITHM [PDF]
Applied Computer Science, 2021 Face recognition is one of the applications in image processing that recognizes or checks an individual's identity. 2D images are used to identify the face, but the problem is that this kind of image is very sensitive to changes in lighting and various
Sunil Kumar B L, Sharmila Kumari M
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Applied Sciences, 2022 A novel method for structural health monitoring (SHM) by using RGB+D data has been recently proposed. RGB+D data are created by fusing image and laser scan data, where the D channel represents the distance, interpolated from laser scanner data.
Josip Peroš +3 more
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Action recognition based on 2D skeletons extracted from RGB videos [PDF]
MATEC Web of Conferences, 2019 In this paper a methodology to recognize actions based on RGB videos is proposed which takes advantages of the recent breakthrough made in deep learning.
Aubry Sophie +3 more
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KD-Net: Continuous-Keystroke-Dynamics-Based Human Identification from RGB-D Image Sequences
Sensors, 2023 Keystroke dynamics is a soft biometric based on the assumption that humans always type in uniquely characteristic manners. Previous works mainly focused on analyzing the key press or release events.
Xinxin Dai +3 more
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