Results 1 to 10 of about 5,959,177 (289)
Feature Point Descriptors: Infrared and Visible Spectra [PDF]
Sensors, 2014 This manuscript evaluates the behavior of classical feature point descriptors when they are used in images from long-wave infrared spectral band and compare them with the results obtained in the visible spectrum.
Pablo Ricaurte +4 more
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Remote Sensing, 2023 Three-dimensional (3D) reconstruction is an essential technique to visualize and monitor the growth of agricultural and forestry plants. However, inspecting tall plants (trees) remains a challenging task for single-camera systems.
Yeping Peng +3 more
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QBB: Quantile-Based Binarization of 3D Point Cloud Descriptors
IEEE Access, 2022 Local 3D point feature descriptors play an important role in many areas of computer vision, such as object recognition, registration, etc. There are many well-functioning feature descriptors, but they are typically real-valued and multidimensional ...
Daniel Varga +3 more
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2D3D-DescNet: Jointly Learning 2D and 3D Local Feature Descriptors for Cross-Dimensional Matching
Remote SensingThe cross-dimensional matching of 2D images and 3D point clouds is an effective method by which to establish the spatial relationship between 2D and 3D space, which has potential applications in remote sensing and artificial intelligence (AI).
Shuting Chen +8 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Multisource data are captured from different sensors or generated with different generation mechanisms. Ground camera images (images taken from ground-based camera) and rendered images (synthesized by the position information from 3-D image-based point ...
Weiquan Liu +8 more
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Point Cloud Registration Based on AGConv Local Feature Descriptors [PDF]
Jisuanji gongcheng, 2023 To improve the registration accuracy of existing point cloud registration models for real point cloud data, an improved point cloud registration model is proposed based on the local feature descriptors of Adaptive Graph Convolution(AGConv).
Wenli ZHANG, Lan CHENG, Mifeng REN, Xinying XU, Gaowei YAN, Zhe ZHANG
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Robust Image Matching Based on Image Feature and Depth Information Fusion
Machines, 2022 In this paper, we propose a robust image feature extraction and fusion method to effectively fuse image feature and depth information and improve the registration accuracy of RGB-D images.
Zhiqiang Yan +3 more
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Monocular Visual Odometer Based on Deep Learning SuperGlue Algorithm [PDF]
Jisuanji kexue, 2021 Aiming at the visual odometer of feature point method,the change of illumination and view angle could lead to the instability of feature point extraction,which affects the accuracy of camera pose estimation,a monocular vision odometer modeling method ...
LIU Shuai, RUI Ting, HU Yu-cheng, YANG Cheng-song, WANG Dong
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Extremely Dense Point Correspondences Using a Learned Feature Descriptor [PDF]
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020 High-quality 3D reconstructions from endoscopy video play an important role in many clinical applications, including surgical navigation where they enable direct video-CT registration. While many methods exist for general multi-view 3D reconstruction, these methods often fail to deliver satisfactory performance on endoscopic video.
Xingtong Liu +6 more
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Discriminative Learning of Deep Convolutional Feature Point Descriptors [PDF]
2015 IEEE International Conference on Computer Vision (ICCV), 2015 This work was partly funded by the Spanish MINECO project RobInstruct TIN2014-58178-R, by the ERA-Net Chistera project ViSen PCIN-2013-047, by EU projects AEROARMS H2020-ICT-2014-1-644271, ISUPPORT H2020-ICT-2014-1-643666 and MOBOT FP7-ICT-2011-600796, and by the ERC project MicroNano.
Edgar Simo-Serra +5 more
openaire +3 more sources