Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Zakaria Kerkaou"'
Publikováno v:
IET Image Processing, Vol 15, Iss 3, Pp 715-723 (2021)
Abstract This paper addresses the problem of matching stereo images acquired by a stereo system mounted aboard an intelligent vehicle. The main idea behind the new method consists in involving temporal matching between a current stereo pair and its p
Externí odkaz:
https://doaj.org/article/c9592f0c76cc48eb8bb6c1b82a296f2a
Publikováno v:
Diagnostics, Vol 13, Iss 4, p 733 (2023)
Small bowel polyps exhibit variations related to color, shape, morphology, texture, and size, as well as to the presence of artifacts, irregular polyp borders, and the low illumination condition inside the gastrointestinal GI tract. Recently, researc
Externí odkaz:
https://doaj.org/article/2d4442111b6847799d98f3b995a49a29
Publikováno v:
Soft Computing. 27:5911-5922
Publikováno v:
Multimedia Tools and Applications. 81:39275-39309
Publikováno v:
Soft Computing. 26:1743-1764
Road sign detection and recognition is an integral part of intelligent transportation sys-tems (ITS). It increases protection by reminding the driver of the current condition of the route, such as notices, bans, limitations and other valuable driving
Publikováno v:
2022 9th International Conference on Wireless Networks and Mobile Communications (WINCOM).
Autor:
Zakaria Kerkaou, Mohamed El Ansari
Publikováno v:
Multimedia Tools and Applications. 79:27039-27055
Stereo vision is a measurement method for finding correspondence between two or more input images in order to obtain a detailed 3D representation of a scene. This paper presents an approach for matching stereo sequences acquired by a stereo sensor mo
Publikováno v:
WINCOM
In this paper, we present a new fast stereo matching method for omnidirectional images. The main contribution of the proposed approach is to involve the results obtained in the preceding frame in the matching of the current frame. The proposed approa
Publikováno v:
2018 International Conference on Intelligent Systems and Computer Vision (ISCV).
This paper presents a new method for matching omnidirectional stereo images. The main idea of the proposed method consists in exploiting the temporal information for matching the stereo images acquired at the current time by involving the stereo imag
Publikováno v:
Journal of Electronic Imaging. 27:1
A hybrid system for pedestrian detection is proposed, in which both visible camera and light detection and ranging (LIDAR) data of the same scene are used. The proposed method is achieved in two main stages. First, the 3-D LIDAR points are clustered