Matti Strese

Orcid: 0000-0001-5683-0968

According to our database1, Matti Strese authored at least 14 papers between 2014 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2021
Haptic Material Acquisition, Modeling, and Display.
PhD thesis, 2021

Perceptual Quality Assessment of Compressed Vibrotactile Signals Through Comparative Judgment.
IEEE Trans. Haptics, 2021

2020
Haptic Material Analysis and Classification Inspired by Human Exploratory Procedures.
IEEE Trans. Haptics, 2020

2019
A Tactile Computer Mouse for the Display of Surface Material Properties.
IEEE Trans. Haptics, 2019

Haptic Codecs for the Tactile Internet.
Proc. IEEE, 2019

2018
A Low-Cost Acquisition, Display, and Evaluation Setup for Tactile Codec Development.
Proceedings of the 2018 IEEE International Symposium on Haptic, 2018

Toward high-fidelity haptic interaction with virtual materials: A robotic material scanning, modelling, and display system.
Proceedings of the 2018 IEEE Haptics Symposium, 2018

2017
Multimodal Feature-Based Surface Material Classification.
IEEE Trans. Haptics, 2017

Content-based surface material retrieval.
Proceedings of the 2017 IEEE World Haptics Conference, 2017

2016
Deep Learning for Surface Material Classification Using Haptic and Visual Information.
IEEE Trans. Multim., 2016

2015
On the retrieval of perceptually similar haptic surfaces.
Proceedings of the Seventh International Workshop on Quality of Multimedia Experience, 2015

Preprocessing-free surface material classification using convolutional neural networks pretrained by sparse Autoencoder.
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

Surface classification using acceleration signals recorded during human freehand movement.
Proceedings of the 2015 IEEE World Haptics Conference, 2015

2014
A haptic texture database for tool-mediated texture recognition and classification.
Proceedings of the 2014 IEEE International Symposium on Haptic, 2014


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