Matteo Pedone

According to our database, Matteo Pedone authored at least 20 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Respiratory Disease Classification and Biometric Analysis Using Biosignals from Digital Stethoscopes.

Constantino Álvarez Casado, Manuel Lage Cañellas, Matteo Pedone, Xiaoting Wu, Le Nguyen, Miguel Bordallo López

Proceedings of the 32nd European Signal Processing Conference, 2024

2023

Blur Invariants for Image Recognition.

Jan Flusser, Matej Lébl, Filip Sroubek, Matteo Pedone, Jitka Kostková

Int. J. Comput. Vis., September, 2023

Audio-Based Classification of Respiratory Diseases using Advanced Signal Processing and Machine Learning for Assistive Diagnosis Support.

Constantino Álvarez Casado, Manuel Lage Cañellas, Matteo Pedone, Xiaoting Wu, Miguel Bordallo López

CoRR, 2023

2022

Learning-Based Non-rigid Video Depth Estimation Using Invariants to Generalized Bas-Relief Transformations.

Matteo Pedone, Abdelrahman Mostafa, Janne Heikkilä

J. Math. Imaging Vis., 2022

2021

Monocular Depth Estimation Primed by Salient Point Detection and Normalized Hessian Loss.

Lam Huynh, Matteo Pedone, Phong Nguyen, Jiri Matas, Esa Rahtu, Janne Heikkilä

Proceedings of the International Conference on 3D Vision, 2021

2020

Handling Gaussian blur without deconvolution.

Jitka Kostková, Jan Flusser, Matej Lébl, Matteo Pedone

Pattern Recognit., 2020

Learning non-rigid surface reconstruction from spatio-temporal image patches.

Matteo Pedone, Abdelrahman Mostafa, Janne Heikkilä

CoRR, 2020

Learning non-rigid surface reconstruction from spatia-temporal image patches.

Matteo Pedone, Abdelrahman Mostafa, Janne Heikkilä

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Combined Invariants to Gaussian Blur and Affine Transformation.

Jitka Kostková, Jan Flusser, Matteo Pedone

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Image Invariants to Anisotropic Gaussian Blur.

Jitka Kostková, Jan Flusser, Matej Lébl, Matteo Pedone

Proceedings of the Image Analysis - 21st Scandinavian Conference, 2019

2016

Recognition of Images Degraded by Gaussian Blur.

Jan Flusser, Sajad Farokhi, Cyril Höschl IV, Tomás Suk, Barbara Zitová, Matteo Pedone

IEEE Trans. Image Process., 2016

2015

Algebraic methods for constructing blur-invariant operators and their applications.

Matteo Pedone

PhD thesis, 2015

Registration of Images With N-Fold Dihedral Blur.

Matteo Pedone, Jan Flusser, Janne Heikkilä

IEEE Trans. Image Process., 2015

Quaternion Wiener Deconvolution for Noise Robust Color Image Registration.

Matteo Pedone, Eduardo Bayro-Corrochano, Jan Flusser, Janne Heikkilä

IEEE Signal Process. Lett., 2015

2013

Blur Invariant Translational Image Registration for N -fold Symmetric Blurs.

Matteo Pedone, Jan Flusser, Janne Heikkilä

IEEE Trans. Image Process., 2013

2012

Local phase quantization descriptors for blur robust and illumination invariant recognition of color textures.

Matteo Pedone, Janne Heikkilä

Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011

Robust airlight estimation for haze removal from a single image.

Matteo Pedone, Janne Heikkilä

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

Evaluation of Denoising Methods with Raw Images and Perceptual Measures.

Matteo Pedone, Janne Heikkilä, Jarno Nikkanen, Leena Lepistö, Timo Kaikumaa

Proceedings of the VISAPP 2010 - Proceedings of the Fifth International Conference on Computer Vision Theory and Applications, Angers, France, May 17-21, 2010, 2010

2008

Constrain Propagation for Ghost Removal in High Dynamic Range Images.

Matteo Pedone, Janne Heikkilä

Proceedings of the VISAPP 2008: Proceedings of the Third International Conference on Computer Vision Theory and Applications, Funchal, Madeira, Portugal, January 22-25, 2008, 2008

Blur and Contrast Invariant Fast Stereo Matching.

Matteo Pedone, Janne Heikkilä

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2008