Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Panphattarasap, Pilailuck"'
Autor:
Panphattarasap, Pilailuck1 pilailuck.pan@mahidol.ac.th, Praiwattana, Pisit1 pisit.pra@mahidol.ac.th, Kraisangka, Jidapa1 jidapa.kra@mahidol.ac.th, Janvikul, Wanida2 wanidaj@mtec.or.th, Thavornyutikarn, Boonlom2 boonlomt@mtec.or.th, Kosorn, Wasana2 wasanak@mtec.or.th, Nampichai, Nutdanai2 nutdanai.nam@mtec.or.th, Sawangphol, Wudhichart1 wudhichart.saw@mahidol.ac.th
Publikováno v:
Computer-Aided Design & Applications. 2024, Vol. 21 Issue 6, p904-921. 18p.
We describe a novel approach to image based localisation in urban environments using semantic matching between images and a 2-D map. It contrasts with the vast majority of existing approaches which use image to image database matching. We use highly
Externí odkaz:
http://arxiv.org/abs/1803.00788
Recent work by Suenderhauf et al. [1] demonstrated improved visual place recognition using proposal regions coupled with features from convolutional neural networks (CNN) to match landmarks between views. In this work we extend the approach by introd
Externí odkaz:
http://arxiv.org/abs/1608.04274
Autor:
Sawangphol, Wudhichart1 wudhichart.saw@mahidol.ac.th, Panphattarasap, Pilailuck1 pisit.pra@mahidol.ac.th, Praiwattana, Pisit1 pisit.pra@mahidol.ac.th, Kraisangka, Jidapa1 jidapa.kra@mahidol.ac.th, Noraset, Thanapon1 thanapon.nor@mahidol.ac.th, Prommin, Danu2 danup@mtec.or.th
Publikováno v:
Computer-Aided Design & Applications. 2023, Vol. 20 Issue 4, p600-613. 14p.
Publikováno v:
Panphattarasap, P & Calway, A 2017, Visual place recognition using landmark distribution descriptors . in Computer Vision-ACCV 2016 : 13th Asian Conference on Computer Vision, ACCV 2016, Revised Selected Papers . vol. 10114 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10114 LNCS, Springer-Verlag Berlin, pp. 487-502, 13th Asian Conference on Computer Vision 2016, Taipei, Taiwan, 20/11/16 . https://doi.org/10.1007/978-3-319-54190-7_30
Recent work by Sünderhauf et al. [1] demonstrated improved visual place recognition using proposal regions coupled with features from convolutional neural networks (CNN) to match landmarks between views. In this work we extend the approach by introd
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2642::fb8b450313345e3a3398f4f9d2fa10d0
https://research-information.bris.ac.uk/ws/files/92016468/Andrew_Calway_Visual_place_recognition_using_landmark_distribution_descriptors.pdf
https://research-information.bris.ac.uk/ws/files/92016468/Andrew_Calway_Visual_place_recognition_using_landmark_distribution_descriptors.pdf
Autor:
Sawangphol, Wudhichart1 wudhichart.saw@mahidol.edu, Noraset, Thanapon1, Panphattarasap, Pilailuck1, Praiwattana, Pisit1, Sutthiratpanya, Praphawarin1, Talanon, Nuengnuch1, Tungsupanich, Kamolluk1, Prommin, Danu2
Publikováno v:
Journal of Information Science & Technology. Jan-Jun2021, Vol. 11 Issue 1, p75-82. 8p.