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Sponsored by Deformation-Driven Topology-Varying 3D Shape Correspondence Ibraheem Alhashim Kai Xu Yixin Zhuang Junjie Cao Patricio Simari Hao Zhang Presenter: Ibraheem Alhashim Simon Fraser University
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SA2015.SIGGRAPH.ORG 2 Deformation-Driven Topology-Varying 3D Shape Correspondence Shape Correspondence Fundamental task in: Shape morphing Statistical shape modeling Object recognition Classification
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SA2015.SIGGRAPH.ORG 3 Deformation-Driven Topology-Varying 3D Shape Correspondence Shape Correspondence Corresponding man-made 3D shapes is challenging Large variability in geometry & structure Real-world data is inconsistent & unlabeled
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SA2015.SIGGRAPH.ORG 4 Deformation-Driven Topology-Varying 3D Shape Correspondence Shape Correspondence Part-level correspondences [Jain 12] [Xu 12] [Zheng 13] [Averkiou 14] [Kalogerakis 12]
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SA2015.SIGGRAPH.ORG 5 Deformation-Driven Topology-Varying 3D Shape Correspondence Shape Correspondence Continuous fine-grained correspondence is critical for continuous shape blending [Alhashim et al. 14]
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SA2015.SIGGRAPH.ORG 6 Deformation-Driven Topology-Varying 3D Shape Correspondence Previous Works Rigid alignment not sufficient for diverse shapes [Golovinskiy & Funkhouser 08]
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SA2015.SIGGRAPH.ORG 7 Deformation-Driven Topology-Varying 3D Shape Correspondence Previous Works [Zheng et al. 14] [Kim et al. 13] [Laga et al. 14] [Huang et al. 14] Co-analysis methods Coarse results Forced correspondence Set of shapes
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SA2015.SIGGRAPH.ORG 8 Deformation-Driven Topology-Varying 3D Shape Correspondence Deformation-Driven Shape Matching Best matching = minimal self- distortion as we deform one shape to match the other [Zhang et al. 08] [Sederberg & Greenwood 92]
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SA2015.SIGGRAPH.ORG 9 Deformation-Driven Topology-Varying 3D Shape Correspondence Challenge How to apply a deformation-driven search to complex man-made shapes? Many disconnected components Semantically similar yet very different Discrepancy in part count & structural relations Back Seat Legs
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SA2015.SIGGRAPH.ORG 10 Deformation-Driven Topology-Varying 3D Shape Correspondence Our Proposal The GeoTopo transform Piece-wise continuous part correspondence Supports topological changes No prior or fixed number of segments Efficient to compute Works on pairs
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SA2015.SIGGRAPH.ORG 11 Deformation-Driven Topology-Varying 3D Shape Correspondence Our Proposal The GeoTopo transform Deformation model Distortion Energy
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SA2015.SIGGRAPH.ORG 12 Deformation-Driven Topology-Varying 3D Shape Correspondence Deformation Model Deformation suitable for man-made shapes Supports disconnected components Structure-aware (preserving part relations) Allows for topological changes
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SA2015.SIGGRAPH.ORG 13 Deformation-Driven Topology-Varying 3D Shape Correspondence Self-Distortion Energy Structural distortion in three terms: 1.Distortion on all pairs of connected parts 2.Connectivity between parts 3.Solidity measure for parts changing topology
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SA2015.SIGGRAPH.ORG 14 Deformation-Driven Topology-Varying 3D Shape Correspondence Shape Representation A structure graph of part skeletons [Alhashim et al. 2014] Skeletons are fitted by parametric curves / sheets Parametric curves Parametri c sheet
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SA2015.SIGGRAPH.ORG 15 Deformation-Driven Topology-Varying 3D Shape Correspondence Structural Rods 3D shapeCurve-sheet abstractions Structural rods
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SA2015.SIGGRAPH.ORG 16 Deformation-Driven Topology-Varying 3D Shape Correspondence Energy Distortion term E d – Overall change of part arrangements – Change in angle
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SA2015.SIGGRAPH.ORG 17 Deformation-Driven Topology-Varying 3D Shape Correspondence Energy Distortion term E d Best correspondence Before deformation After deformation
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SA2015.SIGGRAPH.ORG 18 Deformation-Driven Topology-Varying 3D Shape Correspondence Energy Connectivity term E c – Relative length of shortest rods before and after deformation Source shapeDeformed shapeTarget
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SA2015.SIGGRAPH.ORG 19 Deformation-Driven Topology-Varying 3D Shape Correspondence Energy Solidity term E s – Ratio between the volume of a part to the volume of its convex hull – Measures the effect of a split / merge High Low High
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SA2015.SIGGRAPH.ORG 20 Deformation-Driven Topology-Varying 3D Shape Correspondence Energy Solidity term E s ? ?
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SA2015.SIGGRAPH.ORG 21 Deformation-Driven Topology-Varying 3D Shape Correspondence Deformation Process Deform-to-fit matched parts, then propagate Curves Sheets 1. Align centers 2. Match extremities 3. Deform towards target 4. Propagate edit to others
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SA2015.SIGGRAPH.ORG 22 Deformation-Driven Topology-Varying 3D Shape Correspondence Search Search tree path: set of matched parts on the source Beam search + pruning 3D shapesCurve-sheet abstractions seat-seat back bar- back bar back-back leg back- leg back leg front- leg front
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SA2015.SIGGRAPH.ORG 23 Deformation-Driven Topology-Varying 3D Shape Correspondence Results
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SA2015.SIGGRAPH.ORG 24 Deformation-Driven Topology-Varying 3D Shape Correspondence Results
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SA2015.SIGGRAPH.ORG 25 Deformation-Driven Topology-Varying 3D Shape Correspondence Applications Shape blending fully automatically!
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SA2015.SIGGRAPH.ORG 26 Deformation-Driven Topology-Varying 3D Shape Correspondence Applications Topological medoidShape Classification
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SA2015.SIGGRAPH.ORG 27 Deformation-Driven Topology-Varying 3D Shape Correspondence Evaluation Ground truth 75 shapes, 5 categories (chair, airplane, table, bed, velocipede) Fine and coarse labels
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SA2015.SIGGRAPH.ORG 28 Deformation-Driven Topology-Varying 3D Shape Correspondence Evaluation [Xu 12] Fuzzy part correspondence (baseline) Works on pairs Match based on part OBB similarity [Zheng 14] Recurring part arrangements Find semantic consistency between part arrangements Performs better than co-segmentation in the presence of large shape variability [Kim 13] Deformable part-based templates Better suited for large shape sets Supports poorly segmented inputs + can be fully auto.
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SA2015.SIGGRAPH.ORG 29 Deformation-Driven Topology-Varying 3D Shape Correspondence Evaluation Fine-grained correspondence benchmark
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SA2015.SIGGRAPH.ORG 30 Deformation-Driven Topology-Varying 3D Shape Correspondence Evaluation Coarse correspondence benchmark (co- analysis)
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SA2015.SIGGRAPH.ORG 31 Deformation-Driven Topology-Varying 3D Shape Correspondence Summary GeoTopo: topology-varying deformation model for a fine-grained correspondence search Key contribution: a deformation model and a self-distortion energy, defined on structural rods, assess shape matching quality based on preservation of structure Our framework shows promising results on challenging datasets with much room for improvement
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SA2015.SIGGRAPH.ORG 32 Deformation-Driven Topology-Varying 3D Shape Correspondence Limitations Initial segmentation Large geo. and topo. differences
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SA2015.SIGGRAPH.ORG 33 Deformation-Driven Topology-Varying 3D Shape Correspondence Future Work Segmentation Online shape repositories are not well segmented Incorporate a segmentation search along with the correspondence search High energyLow energy segmentation
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SA2015.SIGGRAPH.ORG 34 Deformation-Driven Topology-Varying 3D Shape Correspondence Future Work Co-analysis Fine-grained correspondence on a set Looking for consistent assignments
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SA2015.SIGGRAPH.ORG Sponsored by THANK YOU! gruvi.cs.sfu.ca/project/geotopo ACKNOWLEDGMENTS Anonymous reviewers, authors who provided code, funding from: NSFC
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SA2015.SIGGRAPH.ORG 36 Deformation-Driven Topology-Varying 3D Shape Correspondence Partial Matching
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SA2015.SIGGRAPH.ORG 37 Deformation-Driven Topology-Varying 3D Shape Correspondence Energy Terms
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SA2015.SIGGRAPH.ORG 38 Deformation-Driven Topology-Varying 3D Shape Correspondence Automatic Segmentation SDFCon. AwareConvex. Analysis Approximate Convexity Analysis
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SA2015.SIGGRAPH.ORG 39 Deformation-Driven Topology-Varying 3D Shape Correspondence Cost & Quality Trade-off
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SA2015.SIGGRAPH.ORG 40 Deformation-Driven Topology-Varying 3D Shape Correspondence Timing & Shapes Complexity
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Topology-Varying Shape Matching and Modeling Structure Preservation Edit propagation – Reinforce symmetry and contact relations 41
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