Results 21 to 30 of about 40,656 (261)
Absolute and Relative Depth-Induced Network for RGB-D Salient Object Detection
Sensors, 2023 Detecting salient objects in complicated scenarios is a challenging problem. Except for semantic features from the RGB image, spatial information from the depth image also provides sufficient cues about the object.
Yuqiu Kong +5 more
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Expanding the Detection of Traversable Area with RealSense for the Visually Impaired
Sensors, 2016 The introduction of RGB-Depth (RGB-D) sensors into the visually impaired people (VIP)-assisting area has stirred great interest of many researchers. However, the detection range of RGB-D sensors is limited by narrow depth field angle and sparse depth map
Kailun Yang +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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Study on traffic scene semantic segmentation method based on convolutional neural network
Tongxin xuebao, 2018 In order to improve the semantic segmentation accuracy of traffic scene,a segmentation method was proposed based on RGB-D image and convolutional neural network.Firstly,on the basis of semi-global stereo matching algorithm,the disparity map was obtained ...
Linhui LI +4 more
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GrapesNet: Indian RGB & RGB-D vineyard image datasets for deep learning applications
Data in Brief, 2023 In most of the countries, grapes are considered as a cash crop. Currently huge research is going on in development of automated grape harvesting systems.
Dhanashree K. Barbole, Parul M. Jadhav
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Intrinsic Scene Decomposition from RGB-D Images [PDF]
2015 IEEE International Conference on Computer Vision (ICCV), 2015 In this paper, we address the problem of computing an intrinsic decomposition of the colors of a surface into an albedo and a shading term. The surface is reconstructed from a single or multiple RGB-D images of a static scene obtained from different views. We thereby extend and improve existing works in the area of intrinsic image decomposition.
Mohammed Hachama +2 more
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Multimodal Deep Feature Fusion (MMDFF) for RGB-D Tracking
Complexity, 2018 Visual tracking is still a challenging task due to occlusion, appearance changes, complex motion, etc. We propose a novel RGB-D tracker based on multimodal deep feature fusion (MMDFF) in this paper.
Ming-xin Jiang +4 more
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Temporal and Spatial Denoising of Depth Maps
Sensors, 2015 This work presents a procedure for refining depth maps acquired using RGB-D (depth) cameras. With numerous new structured-light RGB-D cameras, acquiring high-resolution depth maps has become easy. However, there are problems such as undesired occlusion,
Bor-Shing Lin +4 more
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Multi-scale fusion for RGB-D indoor semantic segmentation
Scientific Reports, 2022 In computer vision, convolution and pooling operations tend to lose high-frequency information, and the contour details will also disappear with the deepening of the network, especially in image semantic segmentation.
Shiyi Jiang +3 more
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Deep Depth Completion of a Single RGB-D Image [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 Accepted by CVPR2018 (Spotlight). Project webpage: http://deepcompletion.cs.princeton.edu/ This version includes supplementary materials which provide more implementation details, quantitative evaluation, and qualitative results.
Yinda Zhang 0001, Thomas A. Funkhouser
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