Novel 3D local feature descriptor of point clouds based on spatial voxel homogenization for feature matching [PDF]
Visual Computing for Industry, Biomedicine, and Art, 2023 Obtaining a 3D feature description with high descriptiveness and robustness under complicated nuisances is a significant and challenging task in 3D feature matching.
Jiong Yang +3 more
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Point CNN:3D Face Recognition with Local Feature Descriptor and Feature Enhancement Mechanism [PDF]
Sensors, 2023 Three-dimensional face recognition is an important part of the field of computer vision. Point clouds are widely used in the field of 3D vision due to the simple mathematical expression.
Qi Wang, Hang Lei, Weizhong Qian
doaj +4 more sources
Local Feature Descriptor for Image Matching: A Survey [PDF]
IEEE Access, 2019 Image registration is an important technique in many computer vision applications such as image fusion, image retrieval, object tracking, face recognition, change detection and so on.
Chengcai Leng +5 more
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Local Deep Descriptor for Remote Sensing Image Feature Matching
Remote Sensing, 2019 Feature matching via local descriptors is one of the most fundamental problems in many computer vision tasks, as well as in the remote sensing image processing community.
Yunyun Dong +6 more
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Compact descriptor for local feature using dominating centre‐symmetric local binary pattern
IET Computer Vision, 2016 The authors propose a terse texture feature, called the dominant centre‐symmetric local binary pattern (DCSLBP), which has similar distinctiveness and half dimension compared against original centre‐symmetric local binary pattern (CS‐LBP).
Yingying Li +3 more
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Local Feature Descriptor Based on Stationary Wavelet Transform and Intensity Order [PDF]
Jisuanji gongcheng, 2017 The nonlinear illumination changes of local region frequently have a negative impact on the stability of local feature descriptor.In order to solve the problem,a local feature descriptor based on Stationary Wavelet Transform(SWT) and intensity order is ...
FANG Yiguang,YAN Pu,LIU Wu,ZHANG Ji,TAN Shoubiao
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PPTFH: Robust Local Descriptor Based on Point-Pair Transformation Features for 3D Surface Matching
Sensors, 2021 Three-dimensional feature description for a local surface is a core technology in 3D computer vision. Existing descriptors perform poorly in terms of distinctiveness and robustness owing to noise, mesh decimation, clutter, and occlusion in real scenes ...
Lang Wu +6 more
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Learning Spread-Out Local Feature Descriptors [PDF]
2017 IEEE International Conference on Computer Vision (ICCV), 2017 We propose a simple, yet powerful regularization technique that can be used to significantly improve both the pairwise and triplet losses in learning local feature descriptors. The idea is that in order to fully utilize the expressive power of the descriptor space, good local feature descriptors should be sufficiently "spread-out" over the space.
Xu Zhang 0022 +3 more
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Online Invariance Selection for Local Feature Descriptors [PDF]
, 2020 27 pages, Accepted at ECCV 2020 (Oral)
Rémi Pautrat +3 more
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Local Property of Depth Information in 3D Images and Its Application in Feature Matching
Mathematics, 2023 In image registration or image matching, the feature extracted by using the traditional methods does not include the depth information which may lead to a mismatch of keypoints.
Erbing Yang +4 more
doaj +1 more source