Sari Peltonen
About me
I am a member of the Signal Processing Research Centre and the 3D Media Group at Tampere University. My most recent research focuses on interaction analysis using machine learning, particularly the predictability of early mother–infant interaction.
My previous research interests include image and video processing, nonlinear filters, robust estimation, and algorithm development for tomographic reconstruction. I have supervised several doctoral and master’s theses and served as a peer reviewer for international scientific journals. I have also been involved in organizing scientific conferences, including IEEE ICIP 2006, IEEE MMSP 2021, and EUVIP 2018.
In teaching, I am responsible for the courses Introduction to Signal Processing and Advanced Signal Processing, and I am a teacher tutor in the course Introduction to Studies in Technology. I am also a responsible person for the Signal Processing and Machine Learning study modules.
Latest publications
A multimethod perspective on mother–infant interaction in free and semi-structured play: Associations with parental reflective functioning
Salo, S. J., Mykkänen, E., Peltonen, S. & Vänskä, M., Sept 2025, In: INFANT BEHAVIOR AND DEVELOPMENT. 80, 102076.Research output: Contribution to journal › Article › Scientific › peer-review
Predictability of Maternal Sensory Signals: A Machine Learning Perspective
Mohammad, F. M. G., Mykkänen, E., Käpylä, J., Vänskä, M. & Peltonen, S., 2025, 2025 IEEE Symposium on Computational Intelligence in Image, Signal Processing and Synthetic Media Companion, CISM Companion 2025. IEEEResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Design and manufacturing of an optimized retro reflective marker for photogrammetric pose estimation in ITER
Gonçalves Ribeiro, L., Suominen, O. J., Bates, P., Peltonen, S., Ruiz Morales, E. & Gotchev, A., Jun 2023, In: Fusion Engineering and Design. 191, 113557.Research output: Contribution to journal › Article › Scientific › peer-review
ITER-Tag: An Adaptable Framework for Robust Uncoded Fiducial Marker Detection and Identification
Gonçalves Ribeiro, L., Suominen, O. J., Peltonen, S., Ruiz Morales, E. & Gotchev, A., 2022, 2022 10th European Workshop on Visual Information Processing (EUVIP). IEEE, 6 p. (European Workshop on Visual Information Processing).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Retro-reflective-marker-aided target pose estimation in a safety-critical environment
Ribeiro, L. G., Suominen, O. J., Durmush, A., Peltonen, S., Morales, E. R. & Gotchev, A., 1 Jan 2021, In: Applied Sciences. 11, 1, p. 1-26 26 p., 3.Research output: Contribution to journal › Article › Scientific › peer-review
FinnForest dataset: A forest landscape for visual SLAM
Ali, I., Durmush, A., Suominen, O., Yli-Hietanen, J., Peltonen, S., Collin, J. & Gotchev, A., 2020, In: ROBOTICS AND AUTONOMOUS SYSTEMS. 132, 13 p., 103610.Research output: Contribution to journal › Article › Scientific › peer-review
Robust Vision Using Retro Reflective Markers for Remote Handling in ITER
Ribeiro, L. G., Suominen, O. J., Peltonen, S., Morales, E. R. & Gotchev, A., 16 Nov 2020, In: Fusion Engineering and Design. 161Research output: Contribution to journal › Article › Scientific › peer-review
Multiresolution MAPEM method for 3D reconstruction of symmetrical particles with electron microscopy
Acar, E., Baikoghli, M. A., Stark, M., Peltonen, S., Ruotsalainen, U. & Cheng, R. H., 2018, EMBEC and NBC 2017 - Joint Conference of the European Medical and Biological Engineering Conference EMBEC 2017 and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics, NBC 2017. Springer Verlag, p. 141-144 4 p. (IFMBE Proceedings; vol. 65).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Automatic Classification of Z-ring Formation Stages at the Single Cell Level in Escherichia Coli by Machine Learning
Zare, M., Neeli-Venkata, R., Martins, L., Peltonen, S., Ruotsalainen, U. & Ribeiro, A. S., 2017, Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies, Vol 2: Bioimaging. Silveira, M., Fred, A., Gamboa, H. & Vaz, M. (eds.). SCITEPRESS, p. 72-76 5 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Local adaptive wiener filtering for class averaging in single particle reconstruction
Abdollahzadeh, A., Acar, E., Peltonen, S. & Ruotsalainen, U., 2017, Image Analysis - 20th Scandinavian Conference, SCIA 2017, Proceedings. Springer Verlag, p. 233-244 12 p. (Lecture Notes in Computer Science; vol. 10270).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review