SIFT-ONN: SIFT Feature Detection Algorithm Employing ONNs for Edge Detection

Autor: Madeleine Abernot, Sylvain Gauthier, Theophile Gonos, Aida Todri-Sanial

Publikováno v: NICE 2023-Neuro-Inspired Computational Elements Workshop
NICE 2023-Neuro-Inspired Computational Elements Workshop, Apr 2023, San Antonio, TX, United States. ⟨10.1145/3584954.3584999⟩
Proceedings of the 2023 Annual Neuro-Inspired Computational Elements Conference, NICE 2023, 100-107
STARTPAGE=100;ENDPAGE=107;TITLE=Proceedings of the 2023 Annual Neuro-Inspired Computational Elements Conference, NICE 2023

International audience; Mobile robot navigation tasks can be applied in various domains, such as in space, underwater, and transportation industries, among others. In navigation, robots analyze their environment from sensors and navigate safely up to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89371f6acada1b8c65a0850ecaaa721f
https://doi.org/10.1145/3584954.3584999

An Improved CamShift Algorithm Based on FAST-SIFT Feature Detection Matching

Autor: Jing Wang, Yulong Wang, Qiwei Shen, Xuzhang Xiao

Publikováno v: 2018 IEEE International Conference on Information Communication and Signal Processing (ICICSP).

The tracking accuracy of the traditional CamShift moving target tracking algorithm will drastically reduce when the target is occluded or the color between the target and background is similar, moreover, there may even be serious problems with missin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f1bc8097b24c35a6a99bdacd4d7cf090
https://doi.org/10.1109/icicsp.2018.8549821

Tool-supported design space exploration of a processor system for SIFT-feature detection

Autor: Guillermo Paya-Vaya, Henrik Heymann, Julian Hartig, Holger Blume

Publikováno v: ICCE-Berlin

This paper presents a tool-supported flow for exploring the design space of an FPGA-based application, which is the Scale-Invariant Feature Transform (SIFT), a common image feature detection algorithm used as key component in computer vision tasks su

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c08a16e80a20549066f80f1751f2bdb2
https://doi.org/10.1109/icce-berlin.2017.8210619

Image Registration Method Based on PCA-SIFT Feature Detection

Autor: Yan Wei Wang, Hui Li Yu

Publikováno v: Advanced Materials Research. :2395-2398

SIFT (scale invariant key points) which can well handle images with varying orientation and zoom, is widely used in image registration, but the algorithm is complexity and the processing time is too long. Therefore we used the PCA-SIFT (Principle Com

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::eaff4b48cb10d85adf92036a5b7b6aa3
https://doi.org/10.4028/www.scientific.net/amr.712-715.2395

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