Type of Publication

Conference Papers

Date:

1 /

2021

Status

Published

DOI:

10.1109/ICPR48806.2021.9412730

Cost Volume Refinement for Depth Prediction

Featured in:

25th International Conference on Pattern Recognition (ICPR) Milan, Italy

Authors:

João L. Cardoso, Nuno Gonçalves and Michael Wimmer

Abstract

This paper advocates for refining cost volumes over depth maps to enhance depth prediction accuracy in light-field cameras. It proposes several cost-volume refinement algorithms and demonstrates their effectiveness in achieving improved results.

Citation
João L. Cardoso, Nuno Gonçalves and Michael Wimmer (2021, January). Cost volume refinement for depth prediction. In 2020 25th International Conference on Pattern Recognition (ICPR) (pp. 354-361). IEEE.

Related Content

Nuno Gonçalves
Researcher Coordinator, VIS TEAM Leader
João Cardoso
Researcher
No tagged content to show
Project Completed
Card3DFace
This project intends to create a 3D face printing system on ...
No tagged content to show

RECENT PUBLICATIONS

VOIDFace: A Privacy-Preserving Multi-Network Face Recognition With Enhanced Security

Authors: Ajnas Muhammed; Iurii Medvedev; Nuno Gonçalves
Featured in: IEEE International Joint Conference on Biometrics (IJCB 2025)

Part I – Proceedings of the 12th Iberian Conference on Pattern Recognition and Image Analysis

Authors: Nuno Gonçalves; Hélder P. Oliveira; Joan Andreu Sánchez
Featured in: 12th Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA 2025)

Part II – Proceedings of the 12th Iberian Conference on Pattern Recognition and Image Analysis

Authors: Nuno Gonçalves; Hélder P. Oliveira; Joan Andreu Sánchez
Featured in: 12th Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA 2025)

suggested news

Paper accepted to IJCB 2025
Prof. Nuno and VIS Team successfully organizes IbPRIA...
Four papers presented @ IbPRIA 2025

RECENT PROJECTS

FACING2 – Face Image Understanding
VISUAL-ID – Unique Visual Identities in Graphics, Images and Faces
UniqueMark

The Lab

About us

Resources

© 2024 VISTeam | Made by Black Monster Media

Institute of Systems and Robotics Department of Electrical and Computers Engineering University of Coimbra