Zobrazeno 1 - 10 of 81 pro vyhledávání: '"Ezio Malis"'
1
Complete closed-form and accurate solution to pose estimation from 3D correspondences
Autor: Ezio Malis
Publikováno v: IEEE Robotics and Automation Letters
IEEE Robotics and Automation Letters, inPress
International audience; Computing the pose from 3D data acquired in two different frames is of high importance for several robotic tasks like odometry, SLAM and place recognition. The pose is generally obtained by solving a least-squares problem give
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b9c6b71234ade280f4240a268064ccd
https://hal.science/hal-03957104
Zobrazit plný text záznamu
2
A New Dense Hybrid Stereo Visual Odometry Approach
Autor: Ziming Liu, Ezio Malis, Philippe Martinet
Publikováno v: IEEE/RSJ International Conference on Intelligent Robots and Systems
IEEE/RSJ International Conference on Intelligent Robots and Systems, Oct 2022, KYOTO, Japan. pp.6998-7003, ⟨10.1109/IROS47612.2022.9981814⟩
International audience; Visual odometry is an important part of the perception module of autonomous robots. Recent advances in deep learning approaches have given rise to hybrid visual odometry approaches that combine both deep networks and tradition
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::58f375664a0eee13a299a963eba8194a
https://inria.hal.science/hal-03935158/document
Zobrazit plný text záznamu
3
Nonlinear complementary filters on the special linear group
Autor: Tarek Hamel, Robert Mahony, Pascal Morin, Ezio Malis
Publikováno v: International Journal of Control
International Journal of Control, Taylor & Francis, 2012, 85 (10), pp.1557-1573. ⟨10.1080/00207179.2012.693951⟩
International Journal of Control, 2012, 85 (10), pp.1557-1573. ⟨10.1080/00207179.2012.693951⟩
International audience; This article proposes a nonlinear complementary filter for the special linear Lie-group SL(3) that fuses low-frequency state measurements with partial velocity measurements and adaptive estimation of unmeasured slowly changing
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::695d5d80c029e6a9d5f4e53a904c7b2f
https://doi.org/10.1080/00207179.2012.693951
Zobrazit plný text záznamu
4
Unified Direct Visual Tracking of Rigid and Deformable Surfaces Under Generic Illumination Changes in Grayscale and Color Images
Autor: Geraldo Silveira, Ezio Malis
Publikováno v: International Journal of Computer Vision. 89:84-105
The fundamental task of visual tracking is considered in this work as an incremental direct image registration problem. Direct methods refer to those that exploit the pixel intensities without resorting to image features. We propose new transformatio
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2e1459580d94945a59621031b3bd60fb
https://doi.org/10.1007/s11263-010-0324-z
Zobrazit plný text záznamu
5
Robustness of Image-Based Visual Servoing With a Calibrated Camera in the Presence of Uncertainties in the Three-Dimensional Structure
Autor: Youcef Mezouar, Patrick Rives, Ezio Malis
Publikováno v: IEEE Transactions on Robotics. 26:112-120
This paper concerns the stability analysis of image-based visual servoing control laws with respect to uncertainties on the 3-D parameters needed to compute the interaction matrix for any calibrated central catadioptric camera. In the recent past, re
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c28d44e9beed9bfce2b20d2e474a46a1
https://doi.org/10.1109/tro.2009.2033332
Zobrazit plný text záznamu
7
Efficient Homography-Based Tracking and 3-D Reconstruction for Single-Viewpoint Sensors
Autor: Selim Benhimane, Patrick Rives, Ezio Malis, Christopher Mei
Publikováno v: IEEE Transactions on Robotics. 24:1352-1364
This paper addresses the problem of motion estimation and 3-D reconstruction through visual tracking with a single-viewpoint sensor and, in particular, how to generalize tracking to calibrated omnidirectional cameras. We analyze different minimizatio
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1555d6401e9c26d2ee86d0ca5a54d1b5
https://doi.org/10.1109/tro.2008.2007941
Zobrazit plný text záznamu
8
An Efficient Direct Approach to Visual SLAM
Autor: Geraldo Silveira, Patrick Rives, Ezio Malis
Publikováno v: IEEE Transactions on Robotics. 24:969-979
The majority of visual simultaneous localization and mapping (SLAM) approaches consider feature correspondences as an input to the joint process of estimating the camera pose and the scene structure. In this paper, we propose a new approach for simul
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9f394831bf76d8a3881a06a11e13dc2e
https://doi.org/10.1109/tro.2008.2004829
Zobrazit plný text záznamu
9
The Efficient E-3D Visual Servoing
Autor: Geraldo Silveira, Patrick Rives, Ezio Malis
Publikováno v: International Journal of Optomechatronics. 2:166-184
A vision-based control technique is proposed to automatically drive a robot to a given desired pose which has never been reached beforehand. Hence, the corresponding desired image is not available. Furthermore, since we deal with unknown scenes, stan
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8fa49dd28f8f1b53853df17d1e75b063
https://doi.org/10.1080/15599610802301045
Zobrazit plný text záznamu
10
Homography-based 2D Visual Tracking and Servoing
Autor: Ezio Malis, Selim Benhimane
Publikováno v: The International Journal of Robotics Research. 26:661-676
The objective of this paper is to propose a new homography-based approach to image-based visual tracking and servoing. The visual tracking algorithm proposed in the paper is based on a new efficient second-order minimization method. Theoretical analy
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::968b23adc3a2c7e356dc50cff7cc16be
https://doi.org/10.1177/0278364907080252
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje