Type of Publication

Conference Papers

Date:

2 /

2025

Status

Accepted

RiemStega: Covariance-based loss for print-proof transmission of data in images

Featured in:

IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2025

Authors:

Aniana Cruz; Guilherme Schardong; Luiz Schirmer; João Marcos, Farhad Shadmand; Nuno Gonçalves

Abstract

Covariance matrices outperform first-order features in many tasks, attracting considerable attention from the computer vision research community. Covariance matrices encode second-order statistics between features, at the same time it is robust to noise. Based on this, we propose representing images by covariance matrices and defining a loss function that measures the distance between them through the Riemannian distance. Motivated by the robustness and invariance properties of the affine invariant Riemannian metric the proposed method was validated in printer-proof data transmission, which is a challenging task due to the trade-off between image quality and message recovery capabilities after printing and digitization procedures. The effectiveness of this approach was systematically assessed using MS COCO and IMM Face datasets. The results demonstrated that the proposed approach outperforms conventional methods that use Euclidean distance, generating encoded images with better quality and achieving higher recovery accuracy in printed images. Additionally, a broader application of the proposed loss was successfully tested in image generation tasks, using generative adversarial networks (GANs).

Citation
Aniana Cruz; Guilherme Schardong; Luiz Schirmer; João Marcos, Farhad Shadmand and Nuno Gonçalves. RiemStega: Covariance-based loss for print-proof transmission of data in images. In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2025. Tucson, USA. 2025.

Related Content

Researcher Coordinator, VIS TEAM Leader
Post-Doc Researcher and Project Manager
Post-Doc Researcher
Post-Doc Researcher
PhD Student
Post-Doc Researcher
No tagged content to show
No tagged content to show
No tagged content to show

RECENT PUBLICATIONS

VOIDFace: Towards an Effective Face Training Data Storage and Protection with Right to be Forgotten Property

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

Análise de marcadores biométricos e sinais vitais através de visão artificial: Ritmo Cardíaco

Authors: Rodrigo Rosado Gonçalves
Featured in: Bsc Thesis

How to Evaluate a Biometric Facial Image

Authors: Diana Gonçalves D’Amil
Featured in: Bsc Thesis

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

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