Results 1 to 10 of about 502,903 (214)
Detection of Household Furniture Storage Space in Depth Images [PDF]
Sensors, 2022 Autonomous service robots assisting in homes and institutions should be able to store and retrieve items in household furniture. This paper presents a neural network-based computer vision method for detection of storage space within storage furniture ...
Mateja Hržica +3 more
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Agrast-6: Abridged VGG-Based Reflected Lightweight Architecture for Binary Segmentation of Depth Images Captured by Kinect [PDF]
Sensors, 2022 Binary object segmentation is a sub-area of semantic segmentation that could be used for a variety of applications. Semantic segmentation models could be applied to solve binary segmentation problems by introducing only two classes, but the models to ...
Karolis Ryselis +3 more
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Directional Joint Bilateral Filter for Depth Images [PDF]
Sensors, 2014 Depth maps taken by the low cost Kinect sensor are often noisy and incomplete. Thus, post-processing for obtaining reliable depth maps is necessary for advanced image and video applications such as object recognition and multi-view rendering.
Anh Vu Le, Seung-Won Jung, Chee Sun Won
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New Fast Fall Detection Method Based on Spatio-Temporal Context Tracking of Head by Using Depth Images [PDF]
Sensors, 2015 In order to deal with the problem of projection occurring in fall detection with two-dimensional (2D) grey or color images, this paper proposed a robust fall detection method based on spatio-temporal context tracking over three-dimensional (3D) depth ...
Lei Yang +3 more
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Deep-learning-ready RGB-depth images of seedling development [PDF]
Plant MethodsIn the era of machine learning-driven plant imaging, the production of annotated datasets is a very important contribution. In this data paper, a unique annotated dataset of seedling emergence kinetics is proposed.
Félix Mercier +7 more
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Sensors, 2022 The identification of human activities from videos is important for many applications. For such a task, three-dimensional (3D) depth images or image sequences (videos) can be used, which represent the positioning information of the objects in a 3D scene ...
Karolis Ryselis +3 more
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3D Hand Gestures Segmentation and Optimized Classification Using Deep Learning
IEEE Access, 2021 Hand gestures recognition system has massive applications which are mainly utilized in robotics and computer vision specially to control Unmanned Aerial Vehicles (UAV).
Fawad Salam Khan +4 more
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MONOCULAR DEPTH ESTIMATION FOR NIGHT-TIME IMAGES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 Depth estimation plays a pivotal role in numerous computer vision applications. However, depth estimation networks trained exclusively on daytime images tend to yield poor performance when applied to nighttime scenarios due to domain differences and ...
N. Khalefa, N. El-Sheimy
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Sensors, 2023 Multimodal deep learning, in the context of biometrics, encounters significant challenges due to the dependence on long speech utterances and RGB images, which are often impractical in certain situations.
Abderrazzaq Moufidi +2 more
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Light and Fast Hand Pose Estimation From Spatial-Decomposed Latent Heatmap
IEEE Access, 2020 We present a light and efficient approach named Latent Fusion network for fast and accurate hand pose estimation from a single depth image. Our method innovatively decomposes 3D joint regression into 2D plane localization and 1D axis estimation from ...
Shaowei Liu +3 more
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