Paolini, GabrieleTortorici, ClaudioBerretti, StefanoGuerrero, PaulPratikakis, IoannisVeltkamp, Remco2025-08-292025-08-292025978-3-03868-280-61997-0471https://doi.org/10.2312/3dor.20251202https://diglib.eg.org/handle/10.2312/3dor20251202This SHREC 2025 track focuses on the recognition and segmentation of relief patterns embedded on the surface of a novel set of synthetically generated triangle meshes. Although the track garnered considerable interest, the problem remains open at the end of the track. In this report, we introduce a new 3D benchmark which was published to assess the performance of the most recent relief pattern recognition algorithms. We discuss the limitations of current techniques; the intrinsic challenges to face to address relief pattern analysis, and potential future research directions in this field.Attribution 4.0 International LicenseCCS Concepts: Computing methodologies → Shape analysis; Computer vision problems; Interest point and salient region detections; Information systems → Content analysis and feature selectionComputing methodologies → Shape analysisComputer vision problemsInterest point and salient region detectionsInformation systems → Content analysis and feature selection10.2312/3dor.202512028 pages