Gain compensation across LIDAR scans

Muñoz-Pandiella, Imanol; Trinidad, Marc Comino; Andújar, Carlos; Argudo, Oscar; Bosch, Carles; Chica, Antonio; Martínez, Beatriz

doi:10.1016/j.cag.2022.06.003

Cited by 4 publications

(1 citation statement)

References 30 publications

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“…This work provides a solution for generating, compressing and rendering 3D hyperspectral point clouds from input data composed of push-broom hyperspectral and 3D point clouds. Muñoz-Pandiella et al [4] introduce an automatic algorithm to minimize RGB color differences among a collection of registered panoramic HDR images captured with Terrestrial Lidar Scanners. Typically, these collected images are used to colorize the accompanying point clouds, however, due to existing color differences between the different panoramas, this can lead to artifacts.…”

Section: Editorialmentioning

confidence: 99%

Foreword to the Special Section on CEIG 2021

Otaduy¹,

Ortega²,

Chica³

2022

Computers & Graphics

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Section: Editorialmentioning

confidence: 99%

Foreword to the Special Section on CEIG 2021

Otaduy¹,

Ortega²,

Chica³

2022

Computers & Graphics

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Digital 3D models for medieval heritage: diachronic analysis and documentation of its architecture and paintings

Munoz-Pandiella,

Bosch,

Guardia

et al. 2024

Pers Ubiquit Comput

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In this paper, we discuss the requirements and technical challenges within the EHEM project, Enhancement of Heritage Experiences: The Middle Ages, an ongoing research program for the acquisition, analysis, documentation, interpretation, digital restoration, and communication of medieval artistic heritage. The project involves multidisciplinary teams comprising art historians and visual computing experts. Despite the vast literature on digital 3D models in support of Cultural Heritage, the field is so rich and diverse that specific projects often imply distinct, unique requirements which often challenge the computational technologies and suggest new research opportunities. As good representatives of such diversity, we describe the three monuments that serve as test cases for the project, all of them with a rich history of architecture and paintings. We discuss the art historians’ view of how digital models can support their research, the expertise and technological solutions adopted so far, as well as the technical challenges in multiple areas spanning geometry and appearance acquisition, color analysis and digital restitution, as well as the representation of the profound transformations due to the alterations suffered over the centuries.

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Weighted Multiple Point Cloud Fusion

Poku-Agyemang,

Reiterer

2024

PFG

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Multiple viewpoint 3D reconstruction has been used in recent years to create accurate complete scenes and objects used for various applications. This is to overcome limitations of single viewpoint 3D digital imaging such as occlusion within the scene during the reconstruction process. In this paper, we propose a weighted point cloud fusion process using both local and global spatial information of the point clouds to fuse them together. The process aims to minimize duplication and remove noise while maintaining a consistent level of details using spatial information from point clouds to compute a weight to fuse them. The algorithm improves the overall accuracy of the fused point cloud while maintaining a similar degree of coverage comparable with state-of-the-art point cloud fusion algorithms.

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Gain compensation across LIDAR scans

Cited by 4 publications

References 30 publications

Foreword to the Special Section on CEIG 2021

Foreword to the Special Section on CEIG 2021

Digital 3D models for medieval heritage: diachronic analysis and documentation of its architecture and paintings

Weighted Multiple Point Cloud Fusion

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