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检索条件"机构=Computer Vision and Robotics Institute"
463 条 记 录,以下是331-340 订阅
排序:
Mobile beacon control algorithm that ensures observability in single range navigation
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IFAC-PapersOnLine 2016年 第23期49卷 48-53页
作者: Mandi, Filip Mikovi, Nikola Palomeras, Narcís Carreras, Marc Vallicrosa, Guillem University of Zagreb Faculty of Electrical Engineering and Computing LABUST - Laboratory for Underwater Systems and Technologies Unska 3 Zagreb Croatia Computer Vision and Robotics Institute Universitat de Girona Parc Cientfic i Tecnolgic UdG Girona17003 Spain
Mobile beacon vehicles are used as navigational aid for autonomous underwater vehicles when performing navigation using single range measurements. They remove the constraints imposed on the underwater vehicle trajecto... 详细信息
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Efficient 3D hand tracking in articulation subspaces for the manipulation of virtual objects  16
Efficient 3D hand tracking in articulation subspaces for the...
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33rd computer Graphics International Conference, CGI 2016
作者: Park, Gabyong Argyros, Antonis Woo, Woontack KAIST GSCT UVR Lab. Daejeon Korea Republic of Computational Vision and Robotics Lab. Institute of Computer Science FORTH University of Crete Greece
We propose an efficient method for model-based 3D tracking of hand articulations observed from an egocentric viewpoint that aims at supporting the manipulation of virtual objects. Previous modelbased approaches optimi... 详细信息
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Online motion planning for underwater inspection
Online motion planning for underwater inspection
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Symposium on Autonomous Underwater Vehicle Technology (AUV)
作者: Marc Carreras Juan David Hernández Eduard Vidal Narcís Palomeras Pere Ridao Computer Vision and Robotics Institute Universitat de Girona Girona Spain
This paper proposes the use of path planning algorithms for AUVs in applications where the robot needs to adapt online its trajectory for inspection or safety purposes. These algorithms generate trajectories under mot... 详细信息
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Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approach
arXiv
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arXiv 2017年
作者: Valverde, Sergi Cabezas, Mariano Roura, Eloy González-Villà, Sandra Pareto, Deborah Vilanova, Joan C. Ramió-Torrentà, Lluís Rovira, Àlex Oliver, Arnau Lladó, Xavier Research institute of Computer Vision and Robotics University of Girona Spain Magnetic Resonance Unit Dept of Radiology Vall d’Hebron University Hospital Spain Girona Magnetic Resonance Center Spain Multiple Sclerosis and Neuroimmunology Unit Dr. Josep Trueta University Hospital Spain
In this paper, we present a novel automated method for White Matter (WM) lesion segmentation of Multiple Sclerosis (MS) patient images. Our approach is based on a cascade of two 3D patch-wise convolutional neural netw... 详细信息
来源: 评论
Free-floating panel intervention by means of learning by demonstration
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IFAC-PapersOnLine 2015年 第2期28卷 38-43页
作者: Carrera, Arnau Palomeras, Narcís Hurtós, Natàlia Carreras, Marc Computer Vision and Robotics Institute Centre d'Investigació en Robòtica Submarina Universitat de Girona Girona17003 Spain
Recent efforts in the field of intervention-autonomous underwater vehicles (I-AUVs) have started to show promising results in simple manipulation tasks. However, there is still a long way to go to reach the complexity... 详细信息
来源: 评论
Pose estimation for underwater vehicles using light beacons
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IFAC-PapersOnLine 2015年 第2期28卷 70-75页
作者: Gracias, Nuno Bosch, Josep Karim, Mohammad Ehsanul Computer Vision and Robotics Institute Centre d'Investigació en Robòtica Submarina Universitat de Girona Girona17003 Spain
This paper presents an approach for estimating the relative location and orientation between two or more underwater vehicles operating in tight formation. One of the vehicles is equipped with a camera of wide field of... 详细信息
来源: 评论
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
arXiv
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arXiv 2018年
作者: Bakas, Spyridon Reyes, Mauricio Jakab, Andras Bauer, Stefan Rempfler, Markus Crimi, Alessandro Shinohara, Russell Takeshi Berger, Christoph Ha, Sung Min Rozycki, Martin Prastawa, Marcel Alberts, Esther Lipkova, Jana Freymann, John Kirby, Justin Bilello, Michel Fathallah-Shaykh, Hassan M. Wiest, Roland Kirschke, Jan Wiestler, Benedikt Colen, Rivka Kotrotsou, Aikaterini Lamontagne, Pamela Marcus, Daniel Milchenko, Mikhail Nazeri, Arash Weber, Marc-Andr Mahajan, Abhishek Baid, Ujjwal Gerstner, Elizabeth Kwon, Dongjin Acharya, Gagan Agarwal, Manu Alam, Mahbubul Albiol, Alberto Albiol, Antonio Albiol, Francisco J. Alex, Varghese Allinson, Nigel Amorim, Pedro H.A. Amrutkar, Abhijit Anand, Ganesh Andermatt, Simon Arbel, Tal Arbelaez, Pablo Avery, Aaron Azmat, Muneeza Pranjal, B. Bai, Wenjia Banerjee, Subhashis Barth, Bill Batchelder, Thomas Batmanghelich, Kayhan Battistella, Enzo Beers, Andrew Belyaev, Mikhail Bendszus, Martin Benson, Eze Bernal, Jose Bharath, Halandur Nagaraja Biros, George Bisdas, Sotirios Brown, James Cabezas, Mariano Cao, Shilei Cardoso, Jorge M. Carver, Eric N. Casamitjana, Adri Castillo, Laura Silvana Cat, Marcel Cattin, Philippe Cérigues, Albert Chagas, Vinicius S. Chandra, Siddhartha Chang, Yi-Ju Chang, Shiyu Chang, Ken Chazalon, Joseph Chen, Shengcong Chen, Wei Chen, Jefferson W. Chen, Zhaolin Cheng, Kun Choudhury, Ahana Roy Chylla, Roger Clrigues, Albert Colleman, Steven Colmeiro, Ramiro German Rodriguez Combalia, Marc Costa, Anthony Cui, Xiaomeng Dai, Zhenzhen Dai, Lutao Daza, Laura Alexandra Deutsch, Eric Ding, Changxing Dong, Chao Dong, Shidu Dudzik, Wojciech Eaton-Rosen, Zach Egan, Gary Escudero, Guilherme Estienne, Tho Everson, Richard Fabrizio, Jonathan Fan, Yong Fang, Longwei Feng, Xue Ferrante, Enzo Fidon, Lucas Fischer, Martin French, Andrew P. Fridman, Naomi Fu, Huan Fuentes, David Gao, Yaozong Gates, Evan Gering, David Gholami, Amir Gierke, Willi Glocker, Ben Gong, Mingming Gonzlez-Vill, Sandra Grosges, T. Guan, Yuanfang Guo, Sheng Gupta, Sudeep Han, Woo-Sup Han, Il Song Harmuth, Ko Center for Biomedical Image Computing and Analytics University of Pennsylvania PhiladelphiaPA United States Department of Radiology Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Department of Pathology and Laboratory Medicine Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Institute for Surgical Technology and Biomechanics University of Bern Bern Switzerland Center for MR-Research University Children's Hospital Zurich Zurich Switzerland Support Centre for Advanced Neuroimaging Inselspital Institute for Diagnostic and Interventional Neuroradiology Bern University Hospital Bern Switzerland University Hospital of Zurich Zurich Switzerland Center for Clinical Epidemiology and Biostatistics University of Pennsylvania Philadelphia United States Image-Based Biomedical Modeling Group Technical University of Munich Munich Germany Icahn School of Medicine Mount Sinai Health System New YorkNY United States Leidos Biomedical Research Inc. Frederick National Laboratory for Cancer Research FrederickMD21701 United States Cancer Imaging Program National Cancer Institute National Institutes of Health BethesdaMD20814 United States Department of Neurology University of Alabama at Birmingham BirminghamAL United States Department of Diagnostic Radiology University of Texas MD Anderson Cancer Center HoustonTX United States Department of Psychology Washington University St. LouisMO United States Neuroimaging Informatics and Analysis Center Washington University St. LouisMO United States Department of Radiology Washington University St. LouisMO United States Institute of Diagnostic and Interventional Radiology Pediatric Radiology and Neuroradiology University Medical Center Rostock Ernst-Heydemann-Str. 6 Rostock18057 Germany Tata Memorial Centre Homi Bhabha National Institute Mumbai India Shri Guru Gobind Singhji Institute of Engineering and Technology Nanded India NVIDIA Santa Clara
Gliomas are the most common primary brain malignancies, with different degrees of aggressiveness, variable prognosis and various heterogeneous histologic sub-regions, i.e., peritumoral edematous/invaded tissue, necrot... 详细信息
来源: 评论
Free-floating panel intervention by means of learning by demonstration  4
Free-floating panel intervention by means of learning by dem...
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4th IFAC Workshop on Navigation, Guidance and Control of Underwater Vehicles, NGCUV 2015
作者: Carrera, Arnau Palomeras, Narcís Hurtós, Natàlia Carreras, Marc Computer Vision and Robotics Institute Centre d'Investigació en Robòtica Submarina Universitat de Girona Girona17003 Spain
Recent efforts in the field of intervention-autonomous underwater vehicles (I-AUVs) have started to show promising results in simple manipulation tasks. However, there is still a long way to go to reach the complexity... 详细信息
来源: 评论
Pose estimation for underwater vehicles using light beacons  4
Pose estimation for underwater vehicles using light beacons
收藏 引用
4th IFAC Workshop on Navigation, Guidance and Control of Underwater Vehicles, NGCUV 2015
作者: Gracias, Nuno Bosch, Josep Karim, Mohammad Ehsanul Computer Vision and Robotics Institute Centre d'Investigació en Robòtica Submarina Universitat de Girona Girona17003 Spain
This paper presents an approach for estimating the relative location and orientation between two or more underwater vehicles operating in tight formation. One of the vehicles is equipped with a camera of wide field of... 详细信息
来源: 评论
Creating 360° Underwater Virtual Tours Using an Omnidirectional Camera Integrated in an AUV
Creating 360° Underwater Virtual Tours Using an Omnidirecti...
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OCEANS
作者: Josep Bosch Pere Ridao David Ribas Nuno Gracias Computer Vision and Robotics Institute (VICOROB) University of Girona 17071 Girona Spain
The use of omnidirectional cameras underwater is enabling many new and exciting applications in multiple fields. Among these, the creation of virtual tours from omnidirectional image surveys is expected to have a larg... 详细信息
来源: 评论