Zobrazeno 1 - 10
of 181
pro vyhledávání: '"Peter Veelaert"'
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 5, Pp 204-212 (2024)
Many image-based rendering (IBR) methods rely on depth estimates obtained from structured light or time-of-flight depth sensors to synthesize novel views from sparse camera networks. However, these estimates often contain missing or noisy regions, re
Externí odkaz:
https://doaj.org/article/2e1aa1810db0457a829ee68aeb45e168
Publikováno v:
Buildings, Vol 13, Iss 9, p 2390 (2023)
BIM has become an intrinsic tool in managing building projects due to its ability to comprehensively represent information in digital form. However, using BIM as an information exchange tool is still in its infancy, particularly with regard to constr
Externí odkaz:
https://doaj.org/article/6a8415f7f07c4e43a2e87d48b41118ba
Autor:
Sanne Roegiers, Elias Corneillie, Filip Lievens, Frederik Anseel, Peter Veelaert, Wilfried Philips
Publikováno v:
Machine Learning with Applications, Vol 9, Iss , Pp 100318- (2022)
This paper reveals the characteristics and effects of nonverbal behavior and human mimicry in the context of application interviews. It discloses a novel analyzation method for psychological research by utilizing machine learning. In comparison to tr
Externí odkaz:
https://doaj.org/article/95d13c5db6664c2f9a0afc697712d649
Publikováno v:
Sensors, Vol 22, Iss 22, p 8637 (2022)
Pedestrian detection is an important research domain due to its relevance for autonomous and assisted driving, as well as its applications in security and industrial automation. Often, more than one type of sensor is used to cover a broader range of
Externí odkaz:
https://doaj.org/article/661df15a5685445d9b3d689a53502835
Publikováno v:
Remote Sensing, Vol 14, Iss 20, p 5271 (2022)
Progress monitoring is an essential part of large construction projects. As manual progress monitoring is time-consuming, the need for automation emerges, especially as, nowadays, BIM for the design of buildings and laser scanning for capturing the a
Externí odkaz:
https://doaj.org/article/2da44225a5fe4bfc84e798db713b4ac4
Publikováno v:
Sensors, Vol 22, Iss 20, p 7853 (2022)
Multi-exposure image fusion (MEF) methods for high dynamic range (HDR) imaging suffer from ghosting artifacts when dealing with moving objects in dynamic scenes. The state-of-the-art methods use optical flow to align low dynamic range (LDR) images be
Externí odkaz:
https://doaj.org/article/9bc0af30e2674174a1efb6d551fa3b8c
Publikováno v:
Remote Sensing, Vol 14, Iss 9, p 1979 (2022)
The registration of as-built and as-planned building models is a pre-requisite in automated construction progress monitoring. Due to the numerous challenges associated with the registration process, it is still performed manually. This research study
Externí odkaz:
https://doaj.org/article/11602449da2a4a9ea09cb1297054ee2e
Publikováno v:
Sensors, Vol 22, Iss 7, p 2457 (2022)
In this paper, we propose a unified and flexible framework for general image fusion tasks, including multi-exposure image fusion, multi-focus image fusion, infrared/visible image fusion, and multi-modality medical image fusion. Unlike other deep lear
Externí odkaz:
https://doaj.org/article/3ad31f52647e4899a9f8a8185c2b7e47
Publikováno v:
Sensors, Vol 21, Iss 14, p 4892 (2021)
Depth sensing has improved rapidly in recent years, which allows for structural information to be utilized in various applications, such as virtual reality, scene and object recognition, view synthesis, and 3D reconstruction. Due to the limitations o
Externí odkaz:
https://doaj.org/article/9151f6a2c62e49cbb8105883e8932734
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 4, Iss 4, Pp 2446-2471 (2015)
This paper proposes a method to infer road networks from GPS traces. These networks include intersections between roads, the connectivity between the intersections and the possible traffic directions between directly-connected intersections. These in
Externí odkaz:
https://doaj.org/article/4de741b280294827a49d9feaf9f2d8e3