Timo Pylvänäinen

Senior Researcher
NRC Palo Alto

Background

M.Sc. in Engineering (with distinction) in accordance with the Information Technology degree program from Tampere University of Technology, majoring in mathematics.

D.Sc. (Ph.D.) (with distinction) in mathematics, from Tampere University of Technology.

Research Interests

  • LiDAR processing
  • Multiple View Geometry and 3D reconstruction
  • Inertial sensors and sensor fusion
  • Augmented Reality
  • Gaze Tracking

Publications

D. Chen, G. Baatz, K. Koeser, S. Tsai, R. Vedantham, T. Pylvanainen, K.  Roimela, X. Chen, J. Bach, M. Pollefeys, B. Girod, R. Grzeszczuk 

City-Scale Landmark Identification on Mobile Devices

CVPR 2011

C. Strecha, T. Pylvänäinen, P. Fua

Dynamic and Scalable Large Scale Image Reconstruction

CVPR 2010                                         

T. Pylvänäinen, K. Roimela, R. Vedantham,J. Itaäranta, R. Wang, R. Grzeszczuk

Automatic Alignment and Multi-View Segmentation of Street  View Data using 3D Shape Priors

3DPVT 2010

T. Pylvänäinen, T. Järvenpää, V. Nummela, L. Fan

Gaze Tracking for Near to Eye Displays

International Conference on Artificial Reality and Telexistence 2008, Yokohama Japan

L. Fan, T.Pylvänäinen

Robust Scale Estimation from Ensemble Inlier Sets for Random Sample Consensus Methods

European Conference on Computer Vision 2008

L. Fan, T.Pylvänäinen

Multi-model Geometrical Fitting for Generic Image Matching

Proceedings of the 20th Annual IS&T/SPIE Symposium on Electronic Imaging, Image Processing: Machine Vision Applications, San Jose, California, January 27-31 2008

T. Pylvänäinen, L. Fan

Hill Climbing Algorithm for Random Sample Consensus Methods

Lecture Notes in Computer Science, Springer-Verlag GmbH, Proceedings of the International Symposium on Visual Computing, Lake Tahoe, Nevada, November 26-28, 2007

T. Pylvänäinen

Automatic and adaptive calibration of 3D field sensors

Applied Mathematical Modelling, Volume 32, Issue 4, Pages 575--587

K. Laurila, T. Pylvänäinen, S. Silanto, A. Virolainen

Wireless Motion Bands

Position paper at ubiComp'05 Workshop on "Ubiquitous computing to support monitoring, measuring and motivating exercise", Tokyo, Japan, September 11-14, 2005

T. Pylvänäinen

Accelerometer Based Gesture Recognition Using Continuous HMMs

Lecture Notes in Computer Science, Springer-Verlag GmbH, Volume 3522 / 2005 : Proceedings Part I of IbPRIA 2005