SHREC'25 Track on Multiple Relief Patterns: Report and Analysis
Gabriele Paolini, Claudio Tortorici, Stefano Berretti, Ahmed Hazem Youssef, Halim Benhabiles, Adnane Cabani, Ruiwen He, Karim Hammoudi, Iyyakutti Iyappan Ganapathi, Syed Sadaf Ali, Divya Velayudhan, Maregu Assefa, Naoufel Werghi

TL;DR
This paper reports on the SHREC'25 challenge for recognizing and segmenting relief patterns on 3D surface meshes, highlighting the complexity of the task and analyzing current methods and future directions.
Contribution
It provides a comprehensive report on participant methods, performance analysis, and discusses challenges and future research directions in relief pattern recognition.
Findings
Performance highlights the complexity of relief pattern recognition.
Current techniques have notable limitations.
The report outlines future research directions.
Abstract
This SHREC 2025 track focuses on the recognition and segmentation of relief patterns embedded on the surface of a set of synthetically generated triangle meshes. We report the methods proposed by the participants, whose performance highlights the inherent complexity of solving the problem, which is still open. Then, we discuss the critical aspects of the proposed tasks, highlight the limitations of current techniques, and outline possible directions for future research. All resources and track details are available at the official track webpage: https://sites.google.com/unifi.it/shrec25-relief-pattern.
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