Zobrazeno 1 - 10
of 1 585
pro vyhledávání: '"Range image"'
Autor:
P. Aberna, L. Agilandeeswari
Publikováno v:
Alexandria Engineering Journal, Vol 112, Iss , Pp 510-537 (2025)
Image tamper detection is a challenging area in multimedia research. The advances in photography technology have made it possible to capture real-time high-dynamic-range (HDR) images through an iPhone or an Android device, which highlights the need f
Externí odkaz:
https://doaj.org/article/6e0bd68d84354ad78052af25f2540367
Publikováno v:
Hangkong bingqi, Vol 31, Iss 3, Pp 72-77 (2024)
In order to improve the verification efficiency of signal processing algorithms for frequency-agile radar, a design method of target echo signal generation for frequency-agile radar based on FPGA is proposed. This method adopts the idea of item-by-it
Externí odkaz:
https://doaj.org/article/1f7a237066b54425a80d41c9e8896e8a
Autor:
Philippe Lalande, Marc Hébert, Jean-François Lalonde, Carolina Espinoza-Sanhueza, Claude MH Demers
Publikováno v:
Data in Brief, Vol 55, Iss , Pp 110658- (2024)
This paper details an imagery dataset of interior and exterior ambiances to assess and represent photobiological outcomes of the built environment in northern territories. The images were obtained using a Raspberry Pi Camera Module (RPiCM) mounted in
Externí odkaz:
https://doaj.org/article/d0a219a40f72427696f7c41ae8e447ad
Publikováno v:
Data in Brief, Vol 55, Iss , Pp 110755- (2024)
This paper describes three datasets which include 443 folders and approximately 4430 images. The images were obtained from the interior of a 1:50 scale model using a fisheye camera connected to a Raspberry Pi microcomputer. This dataset aims to analy
Externí odkaz:
https://doaj.org/article/502394470bea41ac808cf13a76dfda9e
Publikováno v:
Applied Sciences, Vol 14, Iss 21, p 9847 (2024)
High dynamic range imaging is an important field in computer vision. Compared with general low dynamic range (LDR) images, high dynamic range (HDR) images represent a larger luminance range, making the images closer to the real scene. In this paper,
Externí odkaz:
https://doaj.org/article/feddcbb3b1e44cfcbad1b2fc7bba18d9
Publikováno v:
Remote Sensing, Vol 16, Iss 9, p 1488 (2024)
In the field of radar target detection, the conventional approach is to employ the range profile energy accumulation method for detecting extended targets. However, this method becomes ineffective when dealing with non-stationary and non-uniform rada
Externí odkaz:
https://doaj.org/article/2544bc82ac8a46b4a6bff00891316c29
Autor:
Shoji Tominaga, Takahiko Horiuchi
Publikováno v:
Journal of Imaging, Vol 10, Iss 4, p 92 (2024)
This study considers a method for reconstructing a high dynamic range (HDR) original image from a single saturated low dynamic range (LDR) image of metallic objects. A deep neural network approach was adopted for the direct mapping of an 8-bit LDR im
Externí odkaz:
https://doaj.org/article/60e1c428de1044899bcafbfc41e9ad6a
Akademický článek
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Autor:
Nahyeong Kim, Jhonghyun An
Publikováno v:
Sensors, Vol 24, Iss 1, p 79 (2023)
In this study, we propose a knowledge distillation (KD) method for segmenting off-road environment range images. Unlike urban environments, off-road terrains are irregular and pose a higher risk to hardware. Therefore, off-road self-driving systems a
Externí odkaz:
https://doaj.org/article/139c61489af74daea0f9533f3274453a
Publikováno v:
IEEE Access, Vol 10, Pp 117914-117924 (2022)
Point-based sparse or dense matching can typically obtain satisfactory 3D point clouds of general contour features, but the deformation problem at the edges of artificial objects is prominent. Thus, to ensure the regularity of straight line edges, a
Externí odkaz:
https://doaj.org/article/40b539e7d0994cb183a823ab88d65d5f