SHREC 2025: Partial retrieval benchmark

Bart Iver van Blokland, Isaac Aguirre, Ivan Sipiran, Benjamin Bustos, Silvia Biasotti, Giorgio Palmieri

Abstract: Highlights•We evaluate the robustness of local 3D descriptors for partial shape retrieval using a novel benchmark—ShapeBench—under progressively challenging conditions simulating real-world degradations (e.g., clutter, occlusion, noise, remeshing).•Our analysis shows that classic hand-crafted descriptors like Spin Image consistently outperform more recent learned descriptors under high levels of occlusion and noise.•No existing local 3D descriptor was found to be reliably effective under the most challenging scenarios combining multiple perturbations, highlighting an open problem in robust partial 3D retrieval.

External IDs:dblp:journals/cg/BloklandASBBP25