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Keyword

SIFT features

Description: Distinctive local image features, represented by descriptors, detected using the Scale-Invariant Feature Transform algorithm in computer vision.
OpenAlex ID: keywords/sift-features
SIFT Flow: Dense Correspondence across Scenes and Its Applications
2010 · Ce Liu, Jenny Yuen, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 1,589
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A new approach to cross-modal multimedia retrieval
2010 · Nikhil Rasiwasia, Jose Costa Pereira, et al. · ACM International Conference on Multimedia (ACM MM) · 1,358
Object tracking using SIFT features and mean shift
2008 · Huiyu Zhou, Yuan Yuan, et al. · Computer Vision and Image Understanding · 600
SIFT Flow: Dense Correspondence across Different Scenes
2008 · Ce Liu, Jenny Yuen, et al. · Lecture notes in computer science · 552
Fisher Vector Faces in the Wild
2013 · Karen Simonyan, Omkar Parkhi, et al. · British Machine Vision Conference (BMVC) · 450
Location Recognition Using Prioritized Feature Matching
2010 · Yunpeng Li, Noah Snavely, et al. · Lecture notes in computer science · 447
Visual Event Recognition in Videos by Learning from Web Data
2011 · Lixin Duan, Dong Xu, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 415
Bag-of-Visual-Words Scene Classifier With Local and Global Features for High Spatial Resolution Remote Sensing Imagery
2016 · Qiqi Zhu, Yanfei Zhong, et al. · IEEE Geoscience and Remote Sensing Letters · 381
Image Based Localization in Urban Environments
2006 · Wei Zhang, Jana Kosecka · International Symposium on 3D Data Processing, Visualization and Transmission · 379
On the Use of SIFT Features for Face Authentication
2006 · M. Bicego, A. Lagorio, et al. · IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 376
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A Deep Neural Network-Driven Feature Learning Method for Multi-view Facial Expression Recognition
2016 · Tong Zhang, Wenming Zheng, et al. · IEEE Transactions on Multimedia · 314
High-resolution satellite scene classification using a sparse coding based multiple feature combination
2011 · Guofeng Sheng, Wen Yang, et al. · International Journal of Remote Sensing · 310
Cartesian K-Means
2013 · Mohammad Norouzi, David J. Fleet · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 303
Comparison of SIFT Encoded and Deep Learning Features for the Classification and Detection of Esca Disease in Bordeaux Vineyards
2018 · Florian Rançon, Lionel Bombrun, et al. · Remote Sensing · 287
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Robust $L_{2}E$ Estimation of Transformation for Non-Rigid Registration
2015 · Jiayi Ma, Weichao Qiu, et al. · IEEE Transactions on Signal Processing · 280
Face recognition using sift features
2009 · Cong Geng, Xudong Jiang · Proceedings - International Conference on Image Processing · 274
Feature-Guided Black-Box Safety Testing of Deep Neural Networks
2018 · Matthew Wicker, Xiaowei Huang, et al. · Lecture notes in computer science · 223
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SIFT Features Tracking for Video Stabilization
2007 · Sebastiano Battiato, Giovanni Gallo, et al. · International Conference on Image Analysis and Processing · 211
Exploiting web images for event recognition in consumer videos: A multiple source domain adaptation approach
2012 · Lixin Duan, Dong Xu, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 203
Searching for prostate cancer by fully automated magnetic resonance imaging classification: deep learning versus non-deep learning
2017 · Xinggang Wang, Wei Yang, et al. · Scientific Reports · 194
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A food image recognition system with Multiple Kernel Learning
2009 · Taichi Joutou, Keiji Yanai · Proceedings - International Conference on Image Processing · 190
Land-Use Scene Classification Using a Concentric Circle-Structured Multiscale Bag-of-Visual-Words Model
2014 · Li-Jun Zhao, Ping Tang, et al. · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 174
Facial Expression Recognition Using a Hybrid CNN–SIFT Aggregator
2017 · Tee Connie, Mundher Al-Shabi, et al. · Lecture notes in computer science · 140
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Signal Model-Based Fault Detection and Diagnosis for Induction Motors Using Features of Vibration Signal in Two-Dimension Domain
2011 · Van Tuan Do, Ui-Pil Chong · Strojniški vestnik – Journal of Mechanical Engineering · 139
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Detecting image region duplication using SIFT features
2010 · Xunyu Pan, Siwei Lyu · IEEE International Conference on Acoustics Speech and Signal Processing · 130
Works count: 2,293
Citation count: 28,470
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