Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Adrien Krähenbühl"'
Autor:
Adrien Krähenbühl, Jean-Romain Roussel, Bertrand Kerautret, Isabelle Debled-Rennesson, Frédéric Mothe, Fleur Longuetaud
Publikováno v:
Revue Forestière Française, Vol 68, Iss 2 (2016)
Externí odkaz:
https://doaj.org/article/ab852e64be3b41d9a6b95e6116f740ea
Autor:
Bertrand Kerautret, Miguel Colom, Adrien Krähenbühl, Daniel Lopresti, Pascal Monasse, Benjamin Perret
This book constitutes the thoroughly refereed post-workshop proceedings of the 4th International Workshop on Reproducible Research in Pattern Recognition, RRPR 2022, held in Montreal, Canada, in August 2022. The 5 revised full papers presented togeth
This book constitutes the proceedings of the Second IAPR International Conference on Discrete Geometry and Mathematical Morphology, DGMM 2022, which was held during October 24-27, 2022, in Strasbourg, France.The 33 papers included in this volume were
Autor:
Bertrand Kerautret, Miguel Colom, Adrien Krähenbühl, Daniel Lopresti, Pascal Monasse, Hugues Talbot
This book constitutes the thoroughly refereed post-workshop proceedings of the Third International Workshop on Reproducible Research in Pattern Recognition, RRPR 2021, held as a virtual event, in January 2021. The 8 revised full papers, presented to
Publikováno v:
Reproducible Research in Pattern Recognition
Reproducible Research in Pattern Recognition, pp.25-39, 2019
Reproducible Research in Pattern Recognition, pp.25-39, 2019, ⟨10.1007/978-3-030-23987-9_2⟩
Reproducible Research in Pattern Recognition ISBN: 9783030239862
RRPR
Reproducible Research in Pattern Recognition, pp.25-39, 2019
Reproducible Research in Pattern Recognition, pp.25-39, 2019, ⟨10.1007/978-3-030-23987-9_2⟩
Reproducible Research in Pattern Recognition ISBN: 9783030239862
RRPR
There exist several dissemination repositories, computation platforms, and online tools that might be used to implement Reproducible Research. In this paper, we discuss the strengths and weaknesses, or better, the adequacy of each of them for this pu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59b413f92bc9d17e24c91d554b30fceb
https://hal.archives-ouvertes.fr/hal-02189834
https://hal.archives-ouvertes.fr/hal-02189834
Publikováno v:
ICPR 2016-IAPR International Conference on Pattern Recognition
ICPR 2016-IAPR International Conference on Pattern Recognition, Dec 2016, Cancùn, Mexico. ⟨10.1109/ICPR.2016.7899829⟩
ICPR
ICPR 2016-IAPR International Conference on Pattern Recognition, Dec 2016, Cancùn, Mexico. ⟨10.1109/ICPR.2016.7899829⟩
ICPR
International audience; This paper proposes an original method for extracting the centerline of 3D objects given only partial mesh scans as input data. Its principle relies on the construction of a normal vector accumulation map build by casting digi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::979df95e4c23c235df880faa9351dd3f
https://hal.archives-ouvertes.fr/hal-01435271
https://hal.archives-ouvertes.fr/hal-01435271
Publikováno v:
LNCS
RRPR 2016 1st Workshop on Reproducible Research in Pattern Recognition
RRPR 2016 1st Workshop on Reproducible Research in Pattern Recognition, Bertrand Kerautret; Miguel Colom; Pascal Monasse, Dec 2016, Cancùn, Mexico. pp.116-130, ⟨10.1007/978-3-319-56414-2_9⟩
Reproducible Research in Pattern Recognition ISBN: 9783319564135
RRPR@ICPR
RRPR 2016 1st Workshop on Reproducible Research in Pattern Recognition
RRPR 2016 1st Workshop on Reproducible Research in Pattern Recognition, Bertrand Kerautret; Miguel Colom; Pascal Monasse, Dec 2016, Cancùn, Mexico. pp.116-130, ⟨10.1007/978-3-319-56414-2_9⟩
Reproducible Research in Pattern Recognition ISBN: 9783319564135
RRPR@ICPR
International audience; This paper focuses on the implementation details of a recent method which extracts the centerline of 3D shapes using solely partial mesh scans of these shapes. This method [9] extracts the shape centerline by constructing an a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17b43fbaf7a69c9ab7216026001e0c24
https://hal.archives-ouvertes.fr/hal-01571434
https://hal.archives-ouvertes.fr/hal-01571434
Publikováno v:
IWCIA
IWCIA, Nov 2015, Kolkata, India. ⟨10.1007/978-3-319-26145-4_26⟩
Lecture Notes in Computer Science ISBN: 9783319261447
IWCIA, Nov 2015, Kolkata, India. ⟨10.1007/978-3-319-26145-4_26⟩
Lecture Notes in Computer Science ISBN: 9783319261447
International audience; This paper proposes to improve the approach presented in Krähenbühl et al. [11] to build automatic methods for the wood knot detection from X-Ray CT scanner images. The major drawbacks of the previous method mostly depends o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bea0964245afe2a6f740a791b2e1cabd
https://hal.archives-ouvertes.fr/hal-01261651
https://hal.archives-ouvertes.fr/hal-01261651
Publikováno v:
18th International Conference on Image Analysis and Processing
18th International Conference on Image Analysis and Processing, Sep 2015, Genova, Italy. ⟨10.1007/978-3-319-23231-7_29⟩
Image Analysis and Processing — ICIAP 2015 ISBN: 9783319232300
ICIAP (1)
18th International Conference on Image Analysis and Processing, Sep 2015, Genova, Italy. ⟨10.1007/978-3-319-23231-7_29⟩
Image Analysis and Processing — ICIAP 2015 ISBN: 9783319232300
ICIAP (1)
This paper proposes a simple and efficient method for the reconstruction and extraction of geometric parameters from 3D tubular objects. Our method constructs an image that accumulates surface normal information, then peaks within this image are loca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7cff15a72549e05e6dd108263d0aa935
https://hal.science/hal-01139374v2/document
https://hal.science/hal-01139374v2/document
Autor:
Adrien Krähenbühl, Fleur Longuetaud, Bertrand Kerautret, Isabelle Debled-Rennesson, Frédéric Mothe
Publikováno v:
Pattern Recognition
Pattern Recognition, Elsevier, 2014, 47 (12), pp.3852-3869. ⟨10.1016/j.patcog.2014.05.015⟩
Pattern Recognition, 2014, 47 (12), pp.3852-3869. ⟨10.1016/j.patcog.2014.05.015⟩
Pattern Recognition, Elsevier, 2014, 47 (12), pp.3852-3869. ⟨10.1016/j.patcog.2014.05.015⟩
Pattern Recognition, 2014, 47 (12), pp.3852-3869. ⟨10.1016/j.patcog.2014.05.015⟩
International audience; This paper proposes a fully automatic method to segment wood knots from images obtained by an X-ray Computed Tomography scanner. Wood knot segmentation is known to be a difficult problem in the presence of sapwood because of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9731149438a0f9d87c4e4871277cf784
https://hal.inria.fr/hal-01062639
https://hal.inria.fr/hal-01062639