Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Teesid Leelasawassuk"'
Autor:
Kittipong Ekkachai, Teesid Leelasawassuk, Wuttikorn Chaopramualkul, Udom Komin, Phanuphan Kwansud, Pished Bunnun, Prakob Komeswarakul, Apicit Tantaworrasilp, Pongsakorn Seekhao, Sirichai Nithi‐uthai, Pichet Pudson, Vitvasin Vimolmongkolporn, Satawat Prakancharoen, Rachan Chaihan, Piengsak Sothisansern, Chainarong Surinkon, Wutthiphat Covanich, Kanokvate Tungpimolrut
Publikováno v:
Journal of Field Robotics. 39:1033-1053
Autor:
Waree Kongprawechnon, Nattapon Wongcumchang, Jakrin Butdee, Toshiaki Kondo, Teesid Leelasawassuk, Plaifah Laimek
Publikováno v:
2020 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON).
Posterior Capsular Opacification (PCO) i s a complication that occurs after cataract surgery from residual cells accumulating on the intraocular lens (IOL). Existing systems of classification m ainly c lassify P CO a ccording t o t heir severity, whi
Autor:
Teesid Leelasawassuk, Nattapon Wongcumchang, Toshiaki Kondo, Raisha Shrestha, Waree Kongprawechnon
Publikováno v:
2020 6th International Conference on Control, Automation and Robotics (ICCAR).
Posterior Capsular Opacification (PCO) is an after cataract complication which has been under continuous research over past couple of decades. Studies so far have been limited to it's grading, calculating severity and rate of occurrence. The grading
Publikováno v:
SICE
This research presents a method to determine orientation and translation of Generator Inspection Vehicle (GIV). The GIV is developed to be an inspecting assistant for generator inspection staff to examine the internal condition of a power generator.
Publikováno v:
Damen, D, Leelasawassuk, T & Mayol-Cuevas, W W 2016, ' You-Do, I-Learn : Egocentric Unsupervised Discovery of Objects and their Modes of Interaction Towards Video-Based Guidance ', Computer Vision and Image Understanding, vol. 149, pp. 98-112 . https://doi.org/10.1016/j.cviu.2016.02.016
Discovering task-relevant objects from egocentric video sequences of multiple users, using appearance, position, motion and attention features.Distinguishing different ways in which a task-relevant object has been used.Automatically extracting usage
Publikováno v:
Leelasawassuk, T, Damen (Aldamen), D & Mayol-Cuevas, W 2015, ' Estimating Visual Attention from a Head Mounted IMU ', Paper presented at International Symposium on Wearable Computers (ISWC)., Osaka, Japan, 7/09/15-11/09/15 pp. 147-150 . https://doi.org/10.1145/2802083.2808394
ISWC
ISWC
This paper concerns with the evaluation of methods for the estimation of both temporal and spatial visual attention using a head-worn inertial measurement unit (IMU). Aimed at tasks where there is a wearer-object interaction, we estimate the when and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e34baf705c4c2581dc9cc7b37a108e30
https://research-information.bris.ac.uk/ws/files/47467065/ISWC2015_169.pdf
https://research-information.bris.ac.uk/ws/files/47467065/ISWC2015_169.pdf
Publikováno v:
Computer Vision-ECCV 2014 Workshops ISBN: 9783319161983
ECCV Workshops (3)
ECCV Workshops (3)
We present an online fully unsupervised approach for automatically extracting video guides of how objects are used from wearable gaze trackers worn by multiple users. Given egocentric video and eye gaze from multiple users performing tasks, the syste
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::628e21e0e7ae08e10744cb1b2c663345
https://doi.org/10.1007/978-3-319-16199-0_34
https://doi.org/10.1007/978-3-319-16199-0_34
Publikováno v:
Proceedings of the British Machine Vision Conference 2014.
Publikováno v:
ISWC
This paper presents a method for estimating the 3D shape of an object being observed using wearable gaze tracking. Starting from a sparse environment map generated by a simultaneous localization and mapping algorithm (SLAM), we use the gaze direction
Publikováno v:
Advances in Biometrics ISBN: 9783642017926
ICB
ICB
Performance and computational complexity comparisons of various block-based fingerprint enhancement schemes are tested and reported in this literature. Enhancement performance is evaluated by comparing equal error rates, which obtained by a proposed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2f68489fbdd8ec6ff3c30330bce5ced
https://doi.org/10.1007/978-3-642-01793-3_67
https://doi.org/10.1007/978-3-642-01793-3_67