Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Pongsak Lasang"'
Publikováno v:
IET Computer Vision, Vol 14, Iss 3, Pp 84-91 (2020)
Three‐dimensional (3D) driver pose estimation is a promising and challenging problem for computer–human interaction. Recently convolutional neural networks have been introduced into 3D pose estimation, but these methods have the problem of slow r
Externí odkaz:
https://doaj.org/article/92701f925cb3439d9deffa8ebbe07abc
Publikováno v:
IEEE Access, Vol 8, Pp 86998-87010 (2020)
Removal Poisson noise poses a very challenging technical issue because it is difficult to capture noise characteristics. This induces from the fact that Poisson noises from different sources affect each image pixel proportional to the pixel level. Th
Externí odkaz:
https://doaj.org/article/6a767705039a4d6ab7836b6aa1fb595a
Publikováno v:
Sensors, Vol 22, Iss 24, p 9694 (2022)
Point Cloud Registration contributes a lot to measuring, monitoring, and simulating in building information modeling (BIM). In BIM applications, the robustness and generalization of point cloud features are particularly important due to the huge diff
Externí odkaz:
https://doaj.org/article/df445afe65bd4049bf27c5b3b7c140f4
Publikováno v:
IEEE Access, Vol 7, Pp 123107-123115 (2019)
This paper presents an object detection method that can simultaneously estimate the positions and depth of the objects from multiplexed images. Multiplexed image is produced by a new type of imaging device that collects the light from different field
Externí odkaz:
https://doaj.org/article/e39ae12efe24458ab57b9a12ec03a8ac
Autor:
Wuttipong Kumwilaisak, Pongsak Lasang
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2009 (2009)
This paper studies the distortion and the model-based bit allocation scheme of wavelet lifting-based multiview image coding. Redundancies among image views are removed by disparity-compensated wavelet lifting (DCWL). The distortion prediction of the
Externí odkaz:
https://doaj.org/article/833304e693754435a34cc1e0e8d6ce82
Publikováno v:
IEEE Transactions on Intelligent Vehicles. :1-13
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a35fb7b2d85b6124a65ed43b7215f0a8
https://doi.org/10.1109/tiv.2023.3272922
https://doi.org/10.1109/tiv.2023.3272922
Publikováno v:
IEEE Transactions on Intelligent Vehicles. 6:690-698
In this article, a new method is presented for simultaneous vehicle detection and disparity estimation from the blended multiple-view image. The multiple-view image is created by blending left and right images from a stereo camera. This blended image
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf56e1e8ff0844a6e8c8664c4a0fcc46
https://doi.org/10.1109/tiv.2020.3049008
https://doi.org/10.1109/tiv.2020.3049008
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics: Systems. 51:4716-4728
This article presents a modular lightweight network model for road objects detection, such as car, pedestrian, and cyclist, especially when they are far away from the camera and their sizes are small. Great advances have been made for the deep networ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f06c2c93794ac63995893c90b08ab073
https://doi.org/10.1109/tsmc.2019.2945053
https://doi.org/10.1109/tsmc.2019.2945053
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 20:3818-3831
Driver poses recognition contains three tasks such as body joint, head angle, and face landmark estimation, which is of paramount interest for the advanced driver assistance systems (ADAS). Recently proposed methods intend to use deeper and more comp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::012d9304aaa85ceaa089bce32bb7c337
https://doi.org/10.1109/tits.2019.2921325
https://doi.org/10.1109/tits.2019.2921325
Publikováno v:
IEEE Access, Vol 7, Pp 123107-123115 (2019)
This paper presents an object detection method that can simultaneously estimate the positions and depth of the objects from multiplexed images. Multiplexed image is produced by a new type of imaging device that collects the light from different field
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6dbb078cf7d70894ba577c3df9f3b42f
https://doi.org/10.1109/access.2019.2936126
https://doi.org/10.1109/access.2019.2936126