Zobrazeno 1 - 10
of 1 250
pro vyhledávání: '"Wilfried Philips"'
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:
Applied Sciences, Vol 14, Iss 10, p 4081 (2024)
Recent advancements in high dynamic range (HDR) display technology have significantly enhanced the contrast ratios and peak brightness of modern displays. In the coming years, it is expected that HDR televisions capable of delivering significantly hi
Externí odkaz:
https://doaj.org/article/ceda8f6ce2564d8bbec16d87e195bf65
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 7357-7373 (2023)
Hyperspectral image (HSI) processing tasks frequently rely on spatial–spectral total variation (SSTV) to quantify the local smoothness of image structures. However, conventional SSTV only considers a sparse structure of gradient maps computed along
Externí odkaz:
https://doaj.org/article/d7fe84226e4e4929abb85a3eaa880c5f
Autor:
Delia Velasco-Montero, Bart Goossens, Jorge Fernandez-Berni, Angel Rodriguez-Vazquez, Wilfried Philips
Publikováno v:
IEEE Access, Vol 11, Pp 35007-35021 (2023)
Extracting information of interest from continuous video streams is a strongly demanded computer vision task. For the realization of this task at the edge using the current de-facto standard approach, i.e., deep learning, it is critical to optimize k
Externí odkaz:
https://doaj.org/article/2086c0396f7e4d7e96e3dd438d4f6faf
Publikováno v:
Sensors, Vol 23, Iss 24, p 9772 (2023)
In this paper, we propose a new cooperative method that improves the accuracy of Turn Movement Count (TMC) under challenging conditions by introducing contextual observations from the surrounding areas. The proposed method focuses on the correct iden
Externí odkaz:
https://doaj.org/article/f22584d1b4eb41d0942058394f540683
Autor:
Mathieu Vandecasteele, Rob Heylen, Domenico Iuso, Aditi Thanki, Wilfried Philips, Ann Witvrouw, Dries Verhees, Brian G. Booth
Publikováno v:
Materials & Design, Vol 227, Iss , Pp 111757- (2023)
The manufacturing of metal parts via powder-bed fusion is often still facing quality issues due to microstructural porosity. Minimizing this porosity remains a priority and requires the optimization of printing process parameters. While the analysis
Externí odkaz:
https://doaj.org/article/44ce176f1a66459f9327864817b5f4df
Publikováno v:
Sensors, Vol 23, Iss 20, p 8507 (2023)
High dynamic range (HDR) imaging technology is increasingly being used in automated driving systems (ADS) for improving the safety of traffic participants in scenes with strong differences in illumination. Therefore, a combination of HDR video, that
Externí odkaz:
https://doaj.org/article/65ab417d052746099670f43042415e6c
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 5721-5733 (2022)
Limitation of labeled samples has always been a challenge for hyperspectral image (HSI) classification. In real remote sensing applications, we encounter a situation where an HSI scene is not labeled at all. To solve this problem, cross-domain learni
Externí odkaz:
https://doaj.org/article/06b8d9e961b745848c4b9bc58232dcab
Autor:
Zaira Manigrasso, Wannes Goethals, Niloofar M. Goudarzi, Matthieu N. Boone, Aseel Samaro, Chris Vervaet, Wilfried Philips, Jan Aelterman
Publikováno v:
Frontiers in Materials, Vol 9 (2022)
Digital volume correlation (DVC) is a 3D image-based technique for displacement and strain computation. Traditionally, both (digital image correlation) DIC and DVC are methods based on two individual time frames; the estimation of the displacement an
Externí odkaz:
https://doaj.org/article/593f591d24044d78ab1718c65682f8df
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