Výsledky vyhledávání - "Mathieu Labussière"

Akademický článek

Geometry Preserving Sampling Method Based on Spectral Decomposition for Large-Scale Environments

Autor: Mathieu Labussière, Johann Laconte, François Pomerleau

Publikováno v: Frontiers in Robotics and AI, Vol 7 (2020)

In the context of 3D mapping, larger and larger point clouds are acquired with lidar sensors. Although pleasing to the eye, dense maps are not necessarily tailored for practical applications. For instance, in a surface inspection scenario, keeping ge

Externí odkaz: https://doaj.org/article/391cdcb703464cda9ce87cceafeb7a96

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Leveraging Blur Information for Plenoptic Camera Calibration

Autor: Mathieu Labussière, Céline Teulière, Frédéric Bernardin, Omar Ait-Aider

Publikováno v: International Journal of Computer Vision
International Journal of Computer Vision, 2022, ⟨10.1007/s11263-022-01582-z⟩

This paper presents a novel calibration algorithm for plenoptic cameras, especially the multi-focus configuration, where several types of micro-lenses are used, using raw images only. Current calibration methods rely on simplified projection models,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b469d65bdb1f55062aa6db064b22c22
https://hal.science/hal-03659586/file/Leveraging_Blur_Information_for_Plenoptic_Camera_C.pdf

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Leveraging blur information in plenoptic cameras: Application to calibration and metric depth estimation

Autor: Mathieu Labussière

Publikováno v: HAL
Computer Vision and Pattern Recognition [cs.CV]. Université Clermont Auvergne, 2021. English. ⟨NNT : ⟩
Electronics. Université Clermont Auvergne, 2021. English. ⟨NNT : 2021UCFAC088⟩

This thesis investigates the use of a vision sensor called a plenoptic camera for computer vision in robotics applications. To achieve this goal we place ourselves upstream of applications, and focus on its modelization to enable robust depth estimat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::07a99813eef812d42d3d7a61044ff7a9
https://hal.science/tel-03554252

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Blur Aware Calibration of Multi-Focus Plenoptic Camera

Autor: Omar Ait-Aider, Céline Teulière, Frédéric Bernardin, Mathieu Labussière

Publikováno v: IEEE Conference on Computer Vision and Pattern Recognition
IEEE Conference on Computer Vision and Pattern Recognition, Jun 2020, Seattle, United States. ⟨10.1109/CVPR42600.2020.00262⟩
IEEE Conference on Computer Vision and Pattern Recognition, Jun 2020, Seattle, United States
HAL
CVPR

This paper presents a novel calibration algorithm for Multi-Focus Plenoptic Cameras (MFPCs) using raw images only. The design of such cameras is usually complex and relies on precise placement of optic elements. Several calibration procedures have be

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e14bacc32a6dbb56c6a85d5c6dd89235
http://arxiv.org/abs/2004.07745

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Lidar Measurement Bias Estimation via Return Waveform Modelling in a Context of 3D Mapping

Autor: Simon-Pierre Deschênes, François Pomerleau, Mathieu Labussière, Johann Laconte

Publikováno v: ICRA

In a context of 3D mapping, it is very important to get accurate measurements from sensors. In particular, Light Detection And Ranging (LIDAR) measurements are typically treated as a zero-mean Gaussian distribution. We show that this assumption leads

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1274460ce4dd4338c02badb4799aa0f9
http://arxiv.org/abs/1810.01619

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