Publications | Perceiving Systems - Max Planck Institute for Intelligent Systems

114 results (View BibTeX file of all listed publications)

2011

Extracting 3D Structures from Biomedical Data

Xianghua Xie, Si Yong Yeo, Igor Sazonov, Perumal Nithiarasu

Proceedings of the 5th International Conference on Bioinformatics and Biomedical Engineering, 2011 (conference)

2011

Xianghua Xie, Si Yong Yeo, Igor Sazonov, Perumal Nithiarasu Extracting 3D Structures from Biomedical Data Proceedings of the 5th International Conference on Bioinformatics and Biomedical Engineering, 2011 (conference)

[BibTex]

Illumination Estimation and Cast Shadow Detection through a Higher-order Graphical Model

Panagopoulos, A., Wang, C., Samaras, D., Paragios, N.

In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011 (inproceedings)

pdf [BibTex]

Panagopoulos, A., Wang, C., Samaras, D., Paragios, N. Illumination Estimation and Cast Shadow Detection through a Higher-order Graphical Model In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011 (inproceedings)

pdf [BibTex]

Pose-invariant 3D Proximal Femur Estimation through Bi-Planar Image Segmentation with Hierarchical Higher-Order Graph-based Priors

Wang, C., Boussaid, H., Simon, L., Lazennec, J., Paragios, N.

In International Conference, Medical Image Computing and Computer Assisted Intervention (MICCAI), 2011 (inproceedings)

pdf [BibTex]

Wang, C., Boussaid, H., Simon, L., Lazennec, J., Paragios, N. Pose-invariant 3D Proximal Femur Estimation through Bi-Planar Image Segmentation with Hierarchical Higher-Order Graph-based Priors In International Conference, Medical Image Computing and Computer Assisted Intervention (MICCAI), 2011 (inproceedings)

pdf [BibTex]

Intrinsic Dense 3D Surface Tracking

Zeng, Y., Wang, C., Wang, Y., Gu, X., Samaras, D., Paragios, N.

In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011 (inproceedings)

pdf [BibTex]

Zeng, Y., Wang, C., Wang, Y., Gu, X., Samaras, D., Paragios, N. Intrinsic Dense 3D Surface Tracking In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011 (inproceedings)

pdf [BibTex]

Data-Driven Importance Distributions for Articulated Tracking

Soren Hauberg, Kim S. Pedersen

In Energy Minimization Methods in Computer Vision and Pattern Recognition, 6819, pages: 287-299, Lecture Notes in Computer Science, (Editors: Boykov, Yuri and Kahl, Fredrik and Lempitsky, Victor and Schmidt, Frank), Springer Berlin Heidelberg, 2011 (inproceedings)

Publishers site Code PDF Suppl. material [BibTex]

Soren Hauberg, Kim S. Pedersen Data-Driven Importance Distributions for Articulated Tracking In Energy Minimization Methods in Computer Vision and Pattern Recognition, 6819, pages: 287-299, Lecture Notes in Computer Science, (Editors: Boykov, Yuri and Kahl, Fredrik and Lempitsky, Victor and Schmidt, Frank), Springer Berlin Heidelberg, 2011 (inproceedings)

Publishers site Code PDF Suppl. material [BibTex]

A Physically Natural Metric for Human Motion and the Associated Brownian Motion Model

Soren Hauberg, Kim Steenstrup Pedersen

In 1st IEEE Workshop on Kernels and Distances for Computer Vision (ICCV workshop), 2011 (inproceedings)

Workshop link [BibTex]

Soren Hauberg, Kim Steenstrup Pedersen A Physically Natural Metric for Human Motion and the Associated Brownian Motion Model In 1st IEEE Workshop on Kernels and Distances for Computer Vision (ICCV workshop), 2011 (inproceedings)

Workshop link [BibTex]

Virtual Visual Servoing for Real-Time Robot Pose Estimation

Gratal, X., Romero, J., Kragic, D.

In International Federation of Automatic Control World Congress, IFAC, 2011 (inproceedings)

Pdf [BibTex]

Gratal, X., Romero, J., Kragic, D. Virtual Visual Servoing for Real-Time Robot Pose Estimation In International Federation of Automatic Control World Congress, IFAC, 2011 (inproceedings)

Pdf [BibTex]

Cooperative Localization Based on Visually Shared Objects

Lima, P., Santos, P., Oliveira, R., Ahmad, A., Santos, J.

In RoboCup 2010: Robot Soccer World Cup XIV, pages: 350-361, Lecture Notes in Computer Science ; 6556, Springer, Berlin, Germany, 2011 (inproceedings)

Abstract

In this paper we describe a cooperative localization algorithm based on a modification of the Monte Carlo Localization algorithm where, when a robot detects it is lost, particles are spread not uniformly in the state space, but rather according to the information on the location of an object whose distance and bearing is measured by the lost robot. The object location is provided by other robots of the same team using explicit (wireless) communication. Results of application of the method to a team of real robots are presented.

DOI [BibTex]

Lima, P., Santos, P., Oliveira, R., Ahmad, A., Santos, J. Cooperative Localization Based on Visually Shared Objects In RoboCup 2010: Robot Soccer World Cup XIV, pages: 350-361, Lecture Notes in Computer Science ; 6556, Springer, Berlin, Germany, 2011 (inproceedings)

DOI [BibTex]

Discrete Minimum Distortion Correspondence Problems for Non-rigid Shape Matching

Wang, C., Bronstein, M. M., Bronstein, A. M., Paragios, N.

In International Conference on Scale Space and Variational Methods in Computer Vision (SSVM), 2011 (inproceedings)

pdf [BibTex]

Wang, C., Bronstein, M. M., Bronstein, A. M., Paragios, N. Discrete Minimum Distortion Correspondence Problems for Non-rigid Shape Matching In International Conference on Scale Space and Variational Methods in Computer Vision (SSVM), 2011 (inproceedings)

pdf [BibTex]

Viewpoint Invariant 3D Landmark Model Inference from Monocular 2D Images Using Higher-Order Priors

Wang, C., Zeng, Y., Simon, L., Kakadiaris, I., Samaras, D., Paragios, N.

In IEEE International Conference on Computer Vision (ICCV), 2011 (inproceedings)

pdf [BibTex]

Wang, C., Zeng, Y., Simon, L., Kakadiaris, I., Samaras, D., Paragios, N. Viewpoint Invariant 3D Landmark Model Inference from Monocular 2D Images Using Higher-Order Priors In IEEE International Conference on Computer Vision (ICCV), 2011 (inproceedings)

pdf [BibTex]

Correspondence estimation from non-rigid motion information

Wulff, J., Lotz, T., Stehle, T., Aach, T., Chase, J. G.

In Proc. SPIE, Proc. SPIE, (Editors: B. M. Dawant, D. R. Haynor), SPIE, 2011 (inproceedings)

Abstract

The DIET (Digital Image Elasto Tomography) system is a novel approach to screen for breast cancer using only optical imaging information of the surface of a vibrating breast. 3D tracking of skin surface motion without the requirement of external markers is desirable. A novel approach to establish point correspondences using pure skin images is presented here. Instead of the intensity, motion is used as the primary feature, which can be extracted using optical flow algorithms. Taking sequences of multiple frames into account, this motion information alone is accurate and unambiguous enough to allow for a 3D reconstruction of the breast surface. Two approaches, direct and probabilistic, for this correspondence estimation are presented here, suitable for different levels of calibration information accuracy. Reconstructions show that the results obtained using these methods are comparable in accuracy to marker-based methods while considerably increasing resolution. The presented method has high potential in optical tissue deformation and motion sensing.

pdf link (url) DOI [BibTex]

Wulff, J., Lotz, T., Stehle, T., Aach, T., Chase, J. G. Correspondence estimation from non-rigid motion information In Proc. SPIE, Proc. SPIE, (Editors: B. M. Dawant, D. R. Haynor), SPIE, 2011 (inproceedings)

pdf link (url) DOI [BibTex]

An Empirical Study on the Performance of Spectral Manifold Learning Techniques

Peter Mysling, Soren Hauberg, Kim S. Pedersen

In Artificial Neural Networks and Machine Learning – ICANN 2011, 6791, pages: 347-354, Lecture Notes in Computer Science, (Editors: Honkela, Timo and Duch, Włodzisław and Girolami, Mark and Kaski, Samuel), Springer Berlin Heidelberg, 2011 (inproceedings)

Publishers site PDF [BibTex]

Peter Mysling, Soren Hauberg, Kim S. Pedersen An Empirical Study on the Performance of Spectral Manifold Learning Techniques In Artificial Neural Networks and Machine Learning – ICANN 2011, 6791, pages: 347-354, Lecture Notes in Computer Science, (Editors: Honkela, Timo and Duch, Włodzisław and Girolami, Mark and Kaski, Samuel), Springer Berlin Heidelberg, 2011 (inproceedings)

Publishers site PDF [BibTex]