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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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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Object recognition methods based on RGB-D images
Xi'an Gongcheng Daxue xuebao, 2021 Object recognition is one of the main contents of machine vision research. RGB-D image, which integrates depth features, provides a new way for accuracy improving of object recognition.
Xun LI +5 more
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AN RGB-D DATA PROCESSING FRAMEWORK BASED ON ENVIRONMENT CONSTRAINTS FOR MAPPING INDOOR ENVIRONMENTS [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 The adoption of RGB and depth (RGB-D) sensors for surveying applications (i.e., building information modeling [BIM], indoor navigation, and three-dimensional [3D] models) to replace expensive and time-consuming methods (e.g., stereo cameras, laser ...
W. Darwish +5 more
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Real-time RGB-D image stitching using multiple Kinects for improved field of view
International Journal of Advanced Robotic Systems, 2017 This article concerns the problems of a defective depth map and limited field of view of Kinect-style RGB-D sensors. An anisotropic diffusion based hole-filling method is proposed to recover invalid depth data in the depth map.
Hengyu Li +6 more
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Enhanced RGB-D Mapping Method for Detailed 3D Indoor and Outdoor Modeling
Sensors, 2016 RGB-D sensors (sensors with RGB camera and Depth camera) are novel sensing systems that capture RGB images along with pixel-wise depth information. Although they are widely used in various applications, RGB-D sensors have significant drawbacks including ...
Shengjun Tang +6 more
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Person Gender Classification on RGB-D Data With Self-Joint Attention
IEEE Access, 2021 Automatic gender classification has many potential applications including automatic annotation of images, video surveillance, security, and human-computer interaction.
Xiaoxiong Zhang +3 more
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INDOOR SEMANTIC SEGMENTATION FROM RGB-D IMAGES BY INTEGRATING FULLY CONVOLUTIONAL NETWORK WITH HIGHER-ORDER MARKOV RANDOM FIELD [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 Indoor scenes have the characteristics of abundant semantic categories, illumination changes, occlusions and overlaps among objects, which poses great challenges for indoor semantic segmentation.
J. Yang, Z. Kang
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Machines, 2021 Electric companies face flow control and inventory obstacles such as reliability, outlays, and time-consuming tasks. Convolutional Neural Networks (CNNs) combined with computational vision approaches can process image classification in warehouse ...
Paulo Henrique Martinez Piratelo +9 more
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