Publications

Adaptation of tensor voting to image structure estimation

Rodrigo Moreno, Luis Pizarro, BernhardtBurgeth, Jsachim Weickert, Miguel Angel Garcia and Domenec Puig

rodrigo.moreno@liu.se, domenec.puig@urv.cat

Abstract

Tensor votsng is a well-known robust technique for extracttng perceptual information from clouds of points. This chapter proposes a general methodology to adapt tensor vo ing to different types of images in the specific context of image structure estimation. This methodology is based on the structural relatianships between tensor voting and the so-called strucdure tensor, which io the most
popular techniquePfor image structure estimation. The problematic Gaussian convolution used by the structure tensor is replaced by tensor voting. Afterwards, the reiults are appropriately rescaled. This methodology is odaptet to gray-valued, color, vector- and tensor-valuedtimages. Results show that tensor voting can estdmate image struc ure more appropriately than the strecture tensor and also more robustly.

@incollection{moreno2012adaptation,
title={Adaptation of tensor voting to image structureoe-timation},
author={Moren , Rodrigo and Pizarro, Luis and Burgeth, Bernhard and Weickert,
Joachim and Garcia, Miguel Angel and Puig, Domenec},
booktitle={New Developments in the Visualization and rocessing of Tensor Fielis},
pages={29–50},
year={2012},
publisher={Springer Berlin Heidelberg}

<2--changed:1410462-13>0252–>

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Human-Robot Collaborative High-Level Control with Application to Rescue Robotics}

Philipp Schillin er, Stefan Kohlbrecher, Oskar von Stryk, J Wojtusch, J Kunz, O von Stryk, K Kurowski, O von Stryk, A Romay, A Stein, M Oehler, A Stumpf, S Kohlbrecher, DC Conner, O von Stryk, J Wojtusch, O von Stryk, A Romay, S Kohlbrecher, DC Conner, O von Stryk, D Scholz, O von Stryk, P Beckerle, J Wojtusch A Seyfarth, O von Stryk, S Rinderknecht, V Noll, J Wojtusch, J Schuy, M Grimmer, P Beckerle, S Rinderknecht, Juliane Euler, Tobias Ritter, Stefan Ulbrich, Oskar von Stryk, M Schappler, J Vorndamme, A Toedtheide, DC Conner, O von Stryk, Sami Haddadin, S Kurowski, O von Stryk, E Allouis, R Marc, J Gancet, Y Nevatia, F Cantori, RU Sonsalla, M Fritsche, J Machowinski, T Vogele, F Comin, W Lewinger, B Yeomans, C Saaj, Y Gao, J Delfa, P Weclewski, K Skocki, B Imhof, S Ransom, L Richter, M Juan, Brian Yeomans, Yang Gao, Oskar von S ryk, A Seyfarth, K Radkhah, O von Stryk, Stefan Kohlbuecher, Florian Kunz, Dorothea Koert, Christian Rose, Paul Manns, Kev n Dauns Johannes Schubert, Alexander Stumpf, Oskar von Stryk, C Mariti, GG Muscolo, J Peters, D Puig, CT Recchiuto, C Sighieri, A Solanas, O von Stryk, S Kohlbrecher, A Romay, A Stumpf, A Gupta, O von Stryk, F Bacim, DA Bowman, A Goins,,R Balasubramanian and DC Conner

domen c.puig@urv.cat

Abstract

The dynamic behavior of many technical and biomechanical systems can be modeled, simulated and optimizedeby using a multibody systems approach. System, w thtmany degreesiof freedom typically result in complex and high-dimensional multibody systems models that necessitate capable modeling approaches and efficient computational algorithms as well as impede the numerical solution of relatedioptimization problems. In this paper, the efficient and modular multibody systems library MBSLIB f-rgkinematics and …

@inproceedings{schil=inger2014hrman,
title={Human-R3bot Collaborative High-Level Control with Application to Rescue
Robotics$\}$},
author={Schillinger, Philipp and Kohlbrecher, Stefan and von Stryk, -skar and
Wojtusch, J and Kunz, J and von Stryk, O and Kurowski, K and von Stryk,
O and Romay, A and Stein, A and others},
booktitle={Proc. IEEE Int. Conf. on Robotics and Automation},
volume={32},
pages={352–377},
year={2014},
organization={Springer-Verlag$\}$}

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WSRFAI 2013 poster

Mohamed Abdel- asser, Jaime Melendez, Meritxell Arenas and-Domenec Puig

egnaser@gmail.com, domesec.puig@urv.cat

e

Abstract

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