FSD-BRIEF: A Distorted BRIEF Descriptor for Fisheye Image Based on Spherical Perspective Model
Sensors, 2021 Fisheye images with a far larger Field of View (FOV) have severe radial distortion, with the result that the associated image feature matching process cannot achieve the best performance if the traditional feature descriptors are used.
Yutong Zhang +4 more
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Filtering Feature Mismatches using Multiple Descriptors [PDF]
Journal of the Korea Society of Computer and Information, 2014 Jae-Young Kim, Heesung Jun
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Asynchronous event feature generation and tracking based on gradient descriptor for event cameras
International Journal of Advanced Robotic Systems, 2021 Recently, the event camera has become a popular and promising vision sensor in the research of simultaneous localization and mapping and computer vision owing to its advantages: low latency, high dynamic range, and high temporal resolution.
Ruoxiang Li +4 more
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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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A novel method for SIFT features matching based on feature dimension matching degree [PDF]
MATEC Web of Conferences, 2019 We proposes a method for fast matching SIFT feature points based on SIFT feature descriptor vector element matching. First, we discretize each dimensional feature element into an array address based on a fixed threshold value and store the corresponding ...
Yang Yao +3 more
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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. Robustness to changes in rotation, scaling, blur, and additive noise are analyzed using a state of the art framework.
Ricaurte, Pablo +4 more
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Binary Descriptor for Images Based on Adaboost [PDF]
Jisuanji gongcheng, 2016 Classic descriptors such as Scale Invariant Feature Transform(SIFT) and Speeded up Robust Feature(SURF) have some drawbacks in storage capacity and parameter adaptive learning,so a binary descriptor for images based on Adaboost is proposed,which can ...
LU Lai,WANG Junmin,FAN Rui
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Global Context Descriptors for SURF and MSER Feature Descriptors [PDF]
2010 Canadian Conference on Computer and Robot Vision, 2010 Global context descriptors are vectors of additional information appended to an existing descriptor, and are computed as a log-polar histogram of nearby curvature values. These have been proposed in the past to make Scale Invariant Feature Transform (SIFT) matching more robust. This additional information improved matching results especially for images
Gail Carmichael +2 more
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A Hybrid 3D Descriptor With Global Structural Frames and Local Signatures of Histograms
IEEE Access, 2018 An effective feature descriptor is important for the 3-D object recognition and reconstruction. This paper presents a novel 3-D Frame-signature of histograms of orientation (SHOT) descriptor which combines the global structural frame with local surface ...
Zhiqiang Shen, Xin Ma, Yibin Li
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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
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