Derivative-Based Scale Invariant Image Feature Detector With Error Resilience

Keywords

Scale space, Artificial intelligence, Scale-invariant feature transform, Computer science, Gaussian filter

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Cited by

• Contrast Invariant Interest Point Detection by Zero-Norm LoG FilterZhenwei Miao, Xudong Jiang, Kim–Hui Yap — 2016
• Building Keypoint Mappings on Multispectral Images by a Cascade of Classifiers with a Resurrection MechanismYong Li, Jing Jing, Hongbin Jin — 2015
• TILDE: A Temporally Invariant Learned DEtectorYannick Verdié, Kwang Moo Yi, Pascal Fua — 2014
• Efficient keypoint detection and description via polynomial regression of scale spaceRyo Okutani, Kenjiro Sugimoto, Sei‐ichiro Kamata — 2016
• Efficient keypoint detection and description using filter kernel decomposition in scale spaceRyo Okutani, Kenjiro Sugimoto, Sei‐ichiro Kamata — 2016
• XY-Separable Scale-Space Filtering by Polynomial Representations and Its ApplicationsGou Koutaki, Keiichi Uchimura — 2017
• Detection of diabetic retinopathy lesions from spectral retinal imagesFedor Turbabin — 2017
• Spectral-Spatial Scale Invariant Feature Transform for Hyperspectral ImagesSuhad Lateef Al-khafaji, Jun Zhou, Ali Zia — 2018
• SCK: A Sparse Coding Based Key-Point DetectorThanh Hong-Phuoc, Yifeng He, Ling Guan — 2018
• KCNN: Extremely-Efficient Hardware Keypoint Detection with a Compact Convolutional Neural NetworkPaolo Di Febbo, Carlo Dal Mutto, Kinh Tieu — 2018
• LIFT: Learned Invariant Feature TransformKwang Moo Yi, Eduard Trulls, Vincent Lepetit — 2016
• HH-Patches: A Benchmark and Evaluation of Handcrafted and Learned LocaVassileios Balntas, Karel Lenc, Andrea Vedaldi — 2020
• Image Feature Information Extraction for Interest Point Detection: A Comprehensive ReviewJunfeng Jing, Tian Gao, Weichuan Zhang — 2022
• Spatio-Temporal Scale Selection in Video DataTony Lindeberg — 2017
• Integrated Deconvolution Keypoint Detector and Descriptor NetworkDan Jin, Jian Xu — 2022
• Image Feature Information Extraction for Interest Point Detection: A ReviewJunfeng Jing, Tian Gao, Weichuan Zhang — 2021
• Deeply Learned Pore-Scale Facial FeaturesXiaodong Wang, Yuwei Liang, Xianxian Zeng — 2017

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