Nicolas Lehment

Doctoral Thesis

I am very happy to present my doctoral thesis:

Stochastic Optimisation Methods and Pattern Search Algorithms for Augmented Reality Videoconferencing

Nicolas H. Lehment, ISBN 9783843924955, Verlag Dr. Hut

Print versions can be ordered here.

Further Publications

Journal Articles:

  • F. Eyben, F. Weninger, N. Lehment, B. Schuller, and G. Rigoll Affective Video Retrieval: Violence Detection in Hollywood Movies by Large-Scale Segmental Feature Extraction. PLoS ONE 8(12) http://dx.doi.org/10.1371/journal.pone.0078506
  • N. Lehment, M. Kaiser, and G. Rigoll. Using Segmented 3D Point Clouds for Accurate Likelihood Approximation in Human Pose Tracking. International Journal of Computer Vision pp. 1–16, 2012 http://dx.doi.org/10.1007/s11263-012-0557-0

Awards:

  • Best Poster Award: N.H. Lehment, K. Erhardt, and G. Rigoll. Interface design for an inexpensive hands-free collaborative videoconferencing system. International Symposium on Mixed and Augmented Reality (ISMAR) 2012 IEEE, pp. 295 –296, 2012 http://dx.doi.org/10.1109/ISMAR.2012.6402581

Conferences:

  • N. Lehment, D. Merget, and G. Rigoll Creating Automatically Aligned Consensus Realities for AR Videoconferencing International Symposium on Mixed and Augmented Reality (ISMAR) 2014 pp. 201 – 206, 2014 http://http://dx.doi.org/10.1109/ISMAR.2014.6948428
  • N. Lehment, P Tiefenbacher, and G. Rigoll. Don’t Walk into Walls: Creating and Visualizing Consensus Realities for Next Generation Videoconferencing Virtual, Augmented and Mixed Reality. Designing and Developing Virtual and Augmented Environments, Springer Verlag pp. 170-180, 2014 http://dx.doi.org/10.1007/978-3-319-07458-0_17
  • P. Tiefenbacher, N. Lehment, and G. Rigoll. Augmented Reality Evaluation: A Concept Utilizing Virtual Reality Virtual, Augmented and Mixed Reality. Designing and Developing Virtual and Augmented Environments, Springer Verlag pp. 226-236, 2014 http://dx.doi.org/10.1007/978-3-319-07458-0_22
  • F. Eyben, F. Weninger, N. Lehment, G. Rigoll, and B. Schuller. Violent Scenes Detection with Large, Brute-forced Acoustic and Visual Feature Sets. Proceedings MediaEval 2012 Workshop page 2, 2012 http://ceur-ws.org/Vol-927/mediaeval2012_submission_25.pdf
  • N.H. Lehment, M. Kaiser, and G. Rigoll. Using segmented 3D point clouds for accurate likelihood approximation in human pose tracking. Proc. IEEE Intern. Conf. on Computer Vision Workshops (ICCV Workshops) pp. 406 –413, 2011 http://dx.doi.org/10.1109/ICCVW.2011.6130270
  • M. Kaiser, N. Lehment, and G. Rigoll. Dense Point-to-Point Correspondences Between 3D Faces with Large Variations for Constructing 3D Morphable Models. Proc. Int. Conf. on Image Processing ICIP 2011, Brussels, Belgium pp. 917–920. IEEE, 2011 http://dx.doi.org/10.1109/ICIP.2011.6116705
  • M. Kaiser, G. Heym, N. Lehment, A. Arsic, and G. Rigoll. Dense Point-to-Point Correspondences Between 3D Faces Using Parametric Remeshing for Constructing 3D Morphable Models. Proc. of the Workshop on Applications of Computer Vision (WACV), Kona, Hawaii, USA p. 39–44. IEEE, 2011 http://dx.doi.org/10.1109/WACV.2011.5711481
  • M. Hofmann, M. Kaiser, N. Lehment, and G. Rigoll. Event Detection in a Smart Home Environment using Viterbi Filtering and Graph Cuts in a 3D Voxel Occupancy Grid Proc. Intern. Conf. on Computer Vision Theory and Applications (VISAPP),Algarve, Portugal 2011 http://www.mmk.ei.tum.de/publ/pdf/11/11hof2.pdf
  • N. Lehment, D. Arsic, M. Kaiser, and G. Rigoll. Automated Pose Estimation in 3D Point Clouds Applying Annealing Particle Filters and Inverse Kinematics on a GPU. Proc. IEEE Intern. Workshop on Analysis and Modeling of Faces and Gestures AMFG2010, in conj. with CVPR2010, San Francisco, CA, USA 2010 http://dx.doi.org/10.1109/CVPRW.2010.5543606
  • N. Lehment, M. Kaiser, D. Arsic, and G. Rigoll. Cue-Independent Extending Inverse Kinematics For Robust Pose Estimation in 3D Point Clouds. Proc. IEEE Intern. Conf.on Image Processing (ICIP2010), Hong Kong, China pp. 2465–2468, 2010 http://dx.doi.org/10.1109/ICIP.2010.5651643
  • N. Lehment, D. Arsic, A. Lyutskanov, B. Schuller, and G. Rigoll. Supporting Multi Camera Tracking by Monocular Deformable Graph Tracking. Eleventh IEEE International Workshop on Performance Evaluation of Tracking and Surveillance, PETS2009, Miami, FL, USA pp. 87–94. IEEE Computer Society, 2009 http://www.mmk.e-technik.tu-muenchen.de/publ/pdf/09/09leh1.pdf
  • D. Arsic, E. Hristov, N. Lehment, B. Schuller, and G. Rigoll. Applying Multi Layer Homography for Multi Camera Person Tracking. Proc. Workshop on Activity monitoring by multi-camera surveillance systems AMMCSS, in conj. with 2nd ACM/IEEE Intern. Conf. on distrib. Smart Cameras ICDSC-08, Stanford, CA, USA 2008 http://dx.doi.org/10.1109/ICDSC.2008.4635731