المؤلفون: Lindeberg, Tony, Professor, 1964

المصدر: Computer Vision. :1-14

مصطلحات موضوعية: Automatic scale selection, Scale invariant image features and image descriptors, Scale-space, Feature detection, Scale invariance, Interest point detection, Blob detection, Corner detection, Edge detection, Ridge detection, Frequency estimation, Feature tracking, Image-based matching and recognition, Object recognition, Datalogi, Computer Science

وصف الملف: electronic

الوصول الحر: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-267559Test
https://kth.diva-portal.org/smash/get/diva2:1392833/FULLTEXT03.pdfTest

المؤلفون: Khawaja Tehseen Ahmed, Sumaira Aslam, Humaira Afzal, Sajid Iqbal, Arif Mehmood, Gyu Sang Choi

المصدر: IEEE Access, Vol 9, Pp 57215-57242 (2021)

مصطلحات موضوعية: Interest point detection, image extraction, principal component coefficients, image descriptor, sliding window, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

العلاقة: https://ieeexplore.ieee.org/document/9398660Test/; https://doaj.org/toc/2169-3536Test

الوصول الحر: https://doaj.org/article/e65da2d24be540d9a54fab07152dc3fdTest

المؤلفون: Junzhang Chen, Mengyao Lyu, Xing Wang, Xiangzhi Bai, Chao Yang, Miaoming Liu, Fugen Zhou

المصدر: IEEE Access, Vol 7, Pp 84182-84196 (2019)

مصطلحات موضوعية: Feature extraction, image registration, interest point detection, Laplacian of Gaussian filter, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

العلاقة: https://ieeexplore.ieee.org/document/8743372Test/; https://doaj.org/toc/2169-3536Test

الوصول الحر: https://doaj.org/article/bc4e96b21fba4edda7af846160d4de7bTest

المؤلفون: I. G. Zubov, И. Г. Зубов

المصدر: Journal of the Russian Universities. Radioelectronics; Том 23, № 6 (2020); 6-16 ; Известия высших учебных заведений России. Радиоэлектроника; Том 23, № 6 (2020); 6-16 ; 2658-4794 ; 1993-8985

مصطلحات موضوعية: выделение ключевых точек, activation map analysis, interest point detection, анализ карт активаций

وصف الملف: application/pdf

العلاقة: https://re.eltech.ru/jour/article/view/474/507Test; Zeiler M. D., Fergus R. Visualizing and understanding convolutional networks // Proc. of the 13th Europ. Conf. on Computer Vision, Zurich, Switzerland, 6–12 Sept. 2014. Berlin: Springer, 2014. P. 818–833. doi:10.1007/978-3-319-10590-1_53; Simonyan K., Vedaldi A., Zisserman A. Deep inside convolutional networks: Visualising image classification models and saliency maps // Proc. of the ICLR Intern. Conf. on Learning Representations, Banff, Canada, Apr. 2014. URL: https://arxiv.org/abs/1312.6034Test (дата обращения 15.11.2020); Simon M., Rodner E., Denzler J. Part Detector Discovery in Deep Convolutional Neural Networks // Proc. of the ACCV Asian Conf. on Computer Vision, Singapore, 1–5 Nov. 2014. Berlin: Springer, 2014. Pt. 2. P. 162–177. doi:10.1007/978-3-319-16808-1_12; Object Detectors Emerge in Deep Scene CNNs / B. Zhou, A. Khosla, A. Lapedriza, A. Oliva, A. Torralba // Intern. Conf. on Learning Representations, San Diego, USA, May 2015. URL: http://hdl.handle.net/1721.1/96942Test (дата обращения 15.11.2020); MMDetection: open MMLab Detection Toolbox and Benchmark / K. Chen, J. Wang, J. Pang, Yu. Cao, Yu Xiong, X. Li, Sh. Sun, W. Feng, Z. Liu, J. Xu, Zh. Zhang, D. Cheng, Ch. Zhu, T. Cheng, Q. Zhao, B. Li, X. Lu, R. Zhu, Y. Wu, J. Dai, J. Wang, J. Shi, W. Ouyang, Ch. Change Loy, D. Lin. 13 p. URL: https://arxiv.org/pdf/1906.07155.pdfTest (дата обращения 02.06.2020); Deep Residual Learning for Image Recognition / K. He, X. Zhang, S. Ren, J. Sun // Proc. of the IEEE Conf. on Computer Vision and Pattern Recognition, Las Vegas, USA, 27–30 June 2016. Piscataway: IEEE, 2016. Art. 16541111. doi:10.1109/CVPR.2016.90; Simonyan K., Zisserman A. Very Deep Convolutional Networks for large-Scale Image Recognition. Apr 2015. 14 p. URL: https://arxiv.org/abs/1409.1556Test (дата обращения 02.06.2020); MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications / A. G. Howard, M. Zhu, B. Chen, D. Kalenichenko, W. Wang, T. Weyand, M. Andreetto, H. Adam. URL: https://arxiv.org/abs/1704.04861Test (дата обращения 02.06.2020); SqueezeNet: AlexNet-Level Accuracy with 50x Fewer Parameters and; Redmon J., Farhadi A. YOLOv3: An Incremental Improvement. URL: https://arxiv.org/abs/1804.02767Test (дата обращения 02.06.2020); Carvana Image Masking Challenge. URL: https://www.kaggle.com/c/carvana-image-masking-challengeTest (дата обращения 02.06.2020); Viola P., Jones M. Rapid object detection using a boosted cascade of simple features / Proc. of the IEEE Computer Society Conf. on Computer Vision and Pattern Recognition, Kauai, USA, 8–14 Dec. 2001. Piscataway: IEEE. Art. 7176899. doi:10.1109/CVPR.2001.990517; Silva S. M., Jung C. R. License Plate Detection and Recognition in unconstrained Scenarios // Computer Vision – ECCV 2018. 15th Europ. Conf., Munich, Germany. 8–14 Sept. 2018. Berlin: Springer, 2018. P. 593–609. doi:10.1007/978-3-030-01258-8_36; Mask R-Cnn / K. He, G. Gkioxari, P. Dollar, R. Girshick // IEEE Intern. Conf. on Computer Vision (ICCV), Venice, Italy, 22–29 Oct. 2017. Piscataway: IEEE, 2017. Art. 17467816. doi:10.1109 /ICCV.2017.322; Haar Cascad license plate detection. Weights for the model. URL: https://github.com/opencv/opencv/blob/master/data/haarcascades/haarcascade_licence_plate_rus_16stages.xmlTest (дата обращения 15.11.2020); Silva S. M., Jung C. R. License Plate Detection and Recognition in Unconstrained Scenarios. URL: http://sergiomsilva.com/pubs/alpr-unconstrainedTest/ (дата обращения 31.05.2020); Nomeroff Net. A Open Source Python License Plate Recognition Framework. URL: https://nomeroff.net.uaTest/ (дата обращения 31.05.2020); PyTorch implementation of YOLOv3. URL: http://docs.openvinotoolkit.org/2019_R2/_intel_models_person_vehicle_bike_detection_crossroad_1016_description_person_vehicle_bike_detection_crossroad_1016.htmlTest (дата обращения 31.05.2020).; Towards End-to-End License Plate Detection and Recognition: A Large Dataset and Baseline / Z. Xu, W. Yang, A. Meng, N. Lu, H. Huang, C. Ying, L. Huang // Computer Vision. ECCV 2018. 15th Europ. Conf., Munich, Germany, 8–14 Sep. 2018. Berlin: Springer, 2018. P. 261–277. doi:10.1007/978-3-030-01261-8_16; https://re.eltech.ru/jour/article/view/474Test

الإتاحة: https://doi.org/10.32603/1993-8985-2020-23-6-6-1610.1007/978-3-319-10590-1_5310.1007/978-3-319-16808-1_1210.1109/CVPR.2016.9010.1109/CVPR.2001.99051710.1007/978-3-030-01258-8_3610.1007/978-3-030-01261-8_16Test
https://re.eltech.ru/jour/article/view/474Test

المؤلفون: Lindeberg, Tony, 1964

المصدر: Computer Vision. :701-713

مصطلحات موضوعية: scale-space, feature detection, scale invariance, interest point detection, blob detection, corner detection, edge detection, ridge detection, frequency estimation, feature tracking, image-based recognition, object recognition

وصف الملف: electronic

الوصول الحر: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-52432Test
http://www.csc.kth.se/~tony/abstracts/Lin14-ScSel-CompVisRefGuide.htmlTest
https://kth.diva-portal.org/smash/get/diva2:466487/FULLTEXT01.pdfTest

المؤلفون: Stahl, Gustavo Henrique

المساهمون: Universidade Estadual Paulista (UNESP)

مصطلحات موضوعية: Computação de alto desempenho, NVIDIA CUDA, Extrator de pontos de interesse, Visão computacional, High performance computing, Interest point detection

العلاقة: http://hdl.handle.net/11449/239092Test

الإتاحة: http://hdl.handle.net/11449/239092Test

المؤلفون: Jiayi Ma, Guobao Xiao, Xiaojie Guo, Xingyu Jiang, Zhenfeng Shao

المصدر: Information Fusion. 73:22-71

مصطلحات موضوعية: Structure (mathematical logic), Matching (statistics), Modality (human–computer interaction), Information retrieval, Computer science, business.industry, Deep learning, Image registration, 020206 networking & telecommunications, 02 engineering and technology, Field (computer science), Interest point detection, Range (mathematics), Hardware and Architecture, Signal Processing, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Artificial intelligence, business, Software, Information Systems

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::029cdfaae4a0d93830f5911f6153db6eTest
https://doi.org/10.1016/j.inffus.2021.02.012Test

المؤلفون: I. G. Zubov

المصدر: Известия высших учебных заведений России: Радиоэлектроника, Vol 23, Iss 6, Pp 6-16 (2020)

مصطلحات موضوعية: Correctness, TK7800-8360, Computer science, Machine vision, business.industry, 010401 analytical chemistry, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, 020206 networking & telecommunications, 02 engineering and technology, interest point detection, Object (computer science), 01 natural sciences, Convolutional neural network, Field (computer science), activation map analysis, 0104 chemical sciences, Set (abstract data type), Interest point detection, Identification (information), convolutional neural networks, 0202 electrical engineering, electronic engineering, information engineering, Computer vision, Artificial intelligence, Electronics, business

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2fc30c426f7a1272ed9cf40c0b57596eTest
https://re.eltech.ru/jour/article/view/474Test

المؤلفون: Amr Reda. R. Almaddah

المصدر: Sir Syed University Research Journal of Engineering & Technology 7(1)

مصطلحات موضوعية: Conversion of RGB images to gray, Histogram equalization, interest point detection, measurement of displacement and velocity

العلاقة: https://zenodo.org/record/5266354Test; https://doi.org/10.33317/ssurj.v7i1.41Test; oai:zenodo.org:5266354

الإتاحة: https://doi.org/10.33317/ssurj.v7i1.41Test
https://zenodo.org/record/5266354Test

المؤلفون: Yawen Lu, Guoyu Lu

المصدر: IEEE Robotics and Automation Letters. 6:2690-2697

مصطلحات موضوعية: 0209 industrial biotechnology, Matching (statistics), Control and Optimization, Computer science, Pedestrian detection, Feature extraction, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Biomedical Engineering, 02 engineering and technology, 020901 industrial engineering & automation, Artificial Intelligence, Robustness (computer science), 0202 electrical engineering, electronic engineering, information engineering, Computer vision, business.industry, Mechanical Engineering, Computer Science Applications, Human-Computer Interaction, Interest point detection, Control and Systems Engineering, Feature (computer vision), Benchmark (computing), RGB color model, 020201 artificial intelligence & image processing, Computer Vision and Pattern Recognition, Artificial intelligence, business

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::e4b934c4876cb1327a05deaf6a4b49d9Test
https://doi.org/10.1109/lra.2021.3060699Test