RGB-D SLAM: A Review of Methods and Performance Trade-Offs for Different Requirements [PDF]
SensorsThe RGB-D (Red, Green, Blue plus Depth) camera is a widely used onboard sensor for Simultaneous Localization and Mapping (SLAM), as it captures RGB images and depth information simultaneously. This capability has made RGB-D SLAM a topic of broad research
Yixin Yan +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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LaksData: Comprehensive database of salmon fillets images for use in vision-based food automation applicationsDataverse [PDF]
Data in BriefThis article provides a salmon fillet dataset to investigate the detection of distinct regions, undesirable spots, and possibly the higher nutrient content measurements.
Abhaya Pal Singh +3 more
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Influence of Wind Speed on RGB-D Images in Tree Plantations [PDF]
Sensors, 2017 Jesus Conesa-Muñoz +2 more
exaly +2 more sources
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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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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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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