Call for Proposals SHREC 2026
Description
SHREC is an annual, international challenge dedicated to evaluating and comparing the effectiveness of 3D-shape retrieval algorithms. Its general objective is to push the boundaries of research in 3D object retrieval, a field of increasing importance due to the growing availability and use of 3D data. SHREC's continuous existence since 2006 highlights the recognized importance of 3D content-based retrieval in fields like computer graphics, machine vision, pattern recognition, and various real-world applications (e.g., e-commerce, digital archiving, and bio-informatics).
Purpose
The primary goal is to provide a standardized, public framework—including datasets, queries, ground truth (correct classifications), and evaluation measures—to objectively test and compare different 3D shape retrieval methodologies. This fosters research and helps identify state-of-the-art approaches.
Organization
SHREC is organized in conjunction with the Eurographics Symposium on 3D Object Retrieval, Genova, 2026. Paper submissions will follow a two-stage review process. Final full papers will be published in Computers & Graphics. Final short papers will be published in the Eurographcs Digital Library.
Procedure
- Potential track organizers send their proposal to SHREC, describing the envisioned task, collection, queries, ground truth, evaluation method, expected number of participants and plans to apply for the graphics replicability stamp.
- Promising tracks and their organizers will be listed at the SHREC web page, the track organizers start working out the details and recruite participants.
- Participants register for the tracks they want to participate in.
- Each track is performed according to its own schedule, compliant with the worskop submission and reviewing schedule.
- The track organizers collect the results.
- The track results are combined into a joint paper. Papers are subject to two-stage peer review.
- The tracks and their results are presented at Eurographics 2026 Symposium on 3D Object Retrieval, Genova, 2026.