FusionMLS: Highly dynamic 3D reconstruction with consumer-grade RGB-D cameras

Autor: Siim Meerits, Diego Thomas, Vincent Nozick, Hideo Saito

Publikováno v: Computational Visual Media, Vol 4, Iss 4, Pp 287-303 (2018)

Abstract Multi-view dynamic three-dimensional reconstruction has typically required the use of custom shutter-synchronized camera rigs in order to capture scenes containing rapid movements or complex topology changes. In this paper, we demonstrate th

Externí odkaz: https://doaj.org/article/fb6d3ba0f27d42de9f50470bf7a8b58d

Optimal Parenthesizing of Geometric Algebra Products

Autor: Stéphane Breuils, Vincent Nozick, Akihiro Sugimoto

Publikováno v: Computer Graphics International Conference
Computer Graphics International Conference, Oct 2020, Geneva, Switzerland. pp.492-500
CGI 2020
CGI 2020, Oct 2020, Geneva, Switzerland. pp.492-500, ⟨10.1007/978-3-030-61864-3_42⟩
Advances in Computer Graphics ISBN: 9783030618636
CGI

International audience; Manipulating objects using geometric algebra may involve several associative products in a single expression. For example, an object can be constructed by the outer product of multiple points. This number of products can be sm

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::327be14edf54fa0ffa5103e4054a6326
https://hal.archives-ouvertes.fr/hal-03168974

A Geometric Algebra Implementation using Binary Tree

Autor: Vincent Nozick, Laurent Fuchs, Stéphane Breuils

Publikováno v: Advances in Applied Clifford Algebras
Advances in Applied Clifford Algebras, Springer Verlag, 2017, 1, pp.1-19. ⟨10.1007/s00006-017-0770-6⟩
Advances in Applied Clifford Algebras, 2017, 1, pp.1-19. ⟨10.1007/s00006-017-0770-6⟩

International audience; This paper presents an efficient implementation of geometric algebra, based on a recursive representation of the algebra elements using binary trees. The proposed approach consists in restructuring a state of the art recursive

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e671b73ee579787f2662b3371318c67
https://doi.org/10.1007/s00006-017-0770-6

Mobile photometric stereo with keypoint-based SLAM for dense 3D reconstruction

Autor: Hideo Saito, Vincent Nozick, Remy Maxence, Diego Thomas, Hiroshi Kawasaki, Hideaki Uchiyama

Publikováno v: 2019 International Conference on 3D Vision (3DV)
2019 International Conference on 3D Vision (3DV), Sep 2019, Québec City, Canada. pp.574-582, ⟨10.1109/3DV.2019.00069⟩
3DV

International audience; The standard photometric stereo is a technique to densely reconstruct objects surfaces using light variation under the assumption of a static camera with a moving light source. In this work, we use photometric stereo to recons

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f302cf34a8062bb508c7e7c5d184ddc
https://hal.archives-ouvertes.fr/hal-02859914

Modular Convolutional Neural Network for Discriminating between Computer-Generated Images and Photographic Images

Autor: Isao Echizen, T. Ngoc-Dung Tieu, Junichi Yamagishi, Huy H. Nguyen, Hoang-Quoc Nguyen-Son, Vincent Nozick

Publikováno v: ARES 2018 Proceedings of the 13th International Conference on Availability, Reliability and Security
13th International Conference on Availability, Reliability and Security
13th International Conference on Availability, Reliability and Security, Aug 2019, Hambourg, Germany. pp.1-10, ⟨10.1145/3230833.3230863⟩
H. Nguyen, H, T. Tieu, N-D, Nguyen-Son, H-Q, Nozick, V, Yamagishi, J & Echizen, I 2018, Modular Convolutional Neural Network for Discriminating between Computer-Generated Images and Photographic Images . in 13th International Conference on Availability, Reliability and Security (ARES 2018) ., 1, Hamburg, Germany, pp. 1:1-1:10, 13th International Conference on Availability, Reliability and Security, Hamburg, Germany, 27/08/18 . https://doi.org/10.1145/3230833.3230863
ARES

International audience; Discriminating between computer-generated images (CGIs) and photographic images (PIs) is not a new problem in digital image forensics. However, with advances in rendering techniques supported by strong hardware and in genera-t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::75de9907f3b4234ea247edf6b9e0bfcc
https://hal-upec-upem.archives-ouvertes.fr/hal-02007485