A researcher is captured explaining his detailed scientific poster at a conference. The poster is filled with intricate diagrams, graphs, and results that depict various 3D shapes and their corresponding transformations using advanced mathematical and computational methods. The prominently displayed section involves comparative analysis with visual results shown in several rows of figures and corresponding graphs depicting quantitative analysis. Leaning towards the poster, the researcher’s finger points to a specific part of a complex network diagram, highlighting his explanation. Conference attendees can be seen in the background, illustrating the bustling atmosphere of the scientific event. A tripod stand and associated materials, including a coffee cup placed on the ground, contribute to the organized setup. The researcher's engagement and detailed explanation provide insight into the depth of the presented research. Text transcribed from the image: ract a cyclic path C on the of 3D shape X, and match the 3D target shape y. rmulation ected, cyclic graph) mesh/undir. graph) product graph P (inset →) \E\\E\ (CON), (PES), (ANS) polyn. time ILP-Solver still fast f EP, i.e. edge i either part of ep features) eserv. of Existing Self-Inters % Correct Matchings Ours Eisenberger et al. Ren et al. Cao et al. Source % of Correct Points (FAUST) % of Correct Points (SMAL) % of Correct Points (DT4D Intra) % of Correct Points (DTAD I 100 80 60 Dirchlet Energy (FAUST) 0.03 03 035 02 Geodesic Error Threshold Dirchlet Energy (SMAL) 025 100 300- -Cao et al: 0.031 -Rea et al: 0.329 -Eisenberger et al: 0.110 Roetzer et al: 0042 -Ours: 0.029 0.05 0.1 0.15 02 025 Geodesic Error Threshold <-Carstal: 0048 Ren et al: 0.33s Eberger 268 Roter et al: 0.054 0044 <-Car et al: 0003 -R0.375 Raam en al: 0044 -Ourc 0.82 01 025 02 621 Geodesic Emor Thembold Dirchlet Energy (DT4D) -CA -Le 4:00 <-Oun M Dischist Energy (DTD 80 80 60) 600 Roetg14 -Cao et al: 2.1 Ren et al: 8.9 Eisenberger et al: 19- -Ractor at : 14 -Capetal: 26 -Rea et al: 13.6 -C34 -Esberger et al: 16 26 -Ours 17 -Ours 18 Dirichlet Energy Threshold Dirichlet Energy Threshold Deschler Eagy Thebeld Deidler Ergy Temb %Pairs w/ Smaller Energy y References [1] Florian Bernard, Zeeshan Khan Suri, and Christian Theobalt. Mina: Convex mixed-integer programming for non-rigid shape alignment in CVPR, 2020 [2] Dongliang Cao, Paul Roetzer, and Florian Bernard. Unsupervised learning of robust spectral shape matching ACM Transactions on Graphics (TOG). 2023. [3] Marvin Eisenberger, Zorah Lahner, and Daniel Cremers, Smooth shells: Multi-scale shape registration with functional maps in CVPR 2020 (4) Maolin Gao, Paul Roetzer, Marvin Eisenberger, Zorah Lähner, Michael Moeller, Daniel Cremers, and Florian Bernard Sigma Scale-invariant global sparse shape matching. In ICCV, 2023 [5] Gurobi Optimization, LLC. Gurobi Optimizer Reference Manual, 2023 [6] Haggai Maron, Nadav Dym, Itay Kezurer. Shahar Kovalsky, and Yaron Lipman Point registration via efficient convex relation ADM Transactions on Graphics (TOGI, 2016 [7] Jing Ren, Simone Melzi, Peter Wonka, and Maks Ovsjankov Discrete optimization for shape matching in Computer Graphics Forum volume 40, pages 81-96. Wiley Online Library, 2021 [8] Paul Roetzer, Paul Swoboda, Daniel Cremers, and Florian Bernard. A scalable combinatorial solver for elastic geometrically consistent Jo shape matching. In CVPR 2022 כי e uet อนุวs บาปบ lea pa e-out- pa