Michael Bronstein

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Michael Bronstein

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Computer Science

Why Is Michael Bronstein Influential?

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According to Wikipedia, Michael Bronstein is an Israeli computer scientist and entrepreneur. He is a computer science professor at the University of Oxford. Biography Bronstein received his PhD from the Technion in 2007. Since 2010, he has been a professor at University of Lugano, Switzerland, affiliated with the Institute of Computational Science and IDSIA. Between 2018 and 2021, he held the Chair in Machine Learning and Pattern Recognition in the Department of Computing, Imperial College London. In 2022, he joined the Department of Computer Science at the University of Oxford as the DeepMind Professor of Artificial Intelligence.

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Michael Bronstein's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Dynamic Graph CNN for Learning on Point Clouds (2018) (3280)
Geometric Deep Learning: Going beyond Euclidean data (2016) (2460)
Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs (2016) (1443)
Shape google: Geometric words and expressions for invariant shape retrieval (2011) (823)
Numerical Geometry of Non-Rigid Shapes (2009) (743)
Geodesic Convolutional Neural Networks on Riemannian Manifolds (2015) (650)
LDAHash: Improved Matching with Smaller Descriptors (2012) (618)
Scale-invariant heat kernel signatures for non-rigid shape recognition (2010) (589)
Generalized multidimensional scaling: A framework for isometry-invariant partial surface matching (2006) (579)
CayleyNets: Graph Convolutional Neural Networks With Complex Rational Spectral Filters (2017) (490)
Three-Dimensional Face Recognition (2005) (466)
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges (2021) (457)
Learning shape correspondence with anisotropic convolutional neural networks (2016) (454)
Data fusion through cross-modality metric learning using similarity-sensitive hashing (2010) (432)
Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks (2017) (431)
Expression-Invariant 3D Face Recognition (2003) (325)
A Gromov-Hausdorff Framework with Diffusion Geometry for Topologically-Robust Non-rigid Shape Matching (2010) (304)
Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning (2019) (302)
Fake News Detection on Social Media using Geometric Deep Learning (2019) (280)
Efficient Computation of Isometry-Invariant Distances Between Surfaces (2006) (271)
Temporal Graph Networks for Deep Learning on Dynamic Graphs (2020) (224)
Partial Functional Correspondence (2015) (217)
SIGN: Scalable Inception Graph Neural Networks (2020) (214)
Deep Functional Maps: Structured Prediction for Dense Shape Correspondence (2017) (213)
Learning class‐specific descriptors for deformable shapes using localized spectral convolutional networks (2015) (204)
Deformable Shape Completion with Graph Convolutional Autoencoders (2017) (186)
Multimodal Similarity-Preserving Hashing (2012) (183)
Coupled quasi‐harmonic bases (2012) (183)
SHREC '11: Robust Feature Detection and Description Benchmark (2011) (174)
Intrinsic shape context descriptors for deformable shapes (2012) (172)
Expression-Invariant Representations of Faces (2007) (170)
Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting (2020) (156)
Parallel algorithms for approximation of distance maps on parametric surfaces (2008) (155)
Matrix Completion on Graphs (2014) (145)
Shape Recognition with Spectral Distances (2011) (137)
Shape Google: a computer vision approach to isometry invariant shape retrieval (2009) (133)
Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the Wild (2020) (132)
Anisotropic Diffusion Descriptors (2016) (129)
Shape Retrieval of Non-rigid 3D Human Models (2014) (128)
Sparse ICA for blind separation of transmitted and reflected images (2005) (125)
Recent Trends, Applications, and Perspectives in 3D Shape Similarity Assessment (2016) (122)
Analysis of Two-Dimensional Non-Rigid Shapes (2008) (122)
Blind deconvolution of images using optimal sparse representations (2005) (119)
MADMM: A Generic Algorithm for Non-smooth Optimization on Manifolds (2015) (119)
Understanding over-squashing and bottlenecks on graphs via curvature (2021) (114)
Partial Similarity of Objects, or How to Compare a Centaur to a Horse (2009) (113)
Multigrid multidimensional scaling (2006) (112)
Full and Partial Symmetries of Non-rigid Shapes (2010) (111)
Scale Space and Variational Methods in Computer Vision (2011) (111)
Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks (2021) (107)
Reconstruction in diffraction ultrasound tomography using nonuniform FFT (2002) (105)
Robust Principal Component Analysis on Graphs (2015) (104)
Supervised learning of bag‐of‐features shape descriptors using sparse coding (2014) (104)
Computing and processing correspondences with functional maps (2017) (104)
Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation Learning and Generation (2019) (103)
MOTIFNET: A MOTIF-BASED GRAPH CONVOLUTIONAL NETWORK FOR DIRECTED GRAPHS (2018) (101)
Fully Spectral Partial Shape Matching (2017) (101)
Volumetric heat kernel signatures (2010) (99)
Efficient Deformable Shape Correspondence via Kernel Matching (2017) (97)
Utilizing graph machine learning within drug discovery and development (2021) (96)
Are MSER Features Really Interesting? (2011) (95)
Symmetries of non-rigid shapes (2007) (92)
Calculus of Nonrigid Surfaces for Geometry and Texture Manipulation (2007) (91)
SpiralNet++: A Fast and Highly Efficient Mesh Convolution Operator (2019) (91)
Functional correspondence by matrix completion (2014) (87)
Shape Google : a computer vision approach to invariant shape retrieval (2009) (85)
GRAND: Graph Neural Diffusion (2021) (83)
Weisfeiler and Lehman Go Cellular: CW Networks (2021) (77)
Transferability of Spectral Graph Convolutional Neural Networks (2019) (75)
Robust Expression-Invariant Face Recognition from Partially Missing Data (2006) (71)
Dual-Primal Graph Convolutional Networks (2018) (70)
Topology-Invariant Similarity of Nonrigid Shapes (2009) (70)
Diffusion-geometric maximally stable component detection in deformable shapes (2010) (70)
SHREC 2010: robust large-scale shape retrieval benchmark (2010) (67)
Nonlinear Dimensionality Reduction by Topologically Constrained Isometric Embedding (2010) (65)
Deep Machine Learning Techniques for the Detection and Classification of Sperm Whale Bioacoustics (2019) (63)
Graph Neural Networks for IceCube Signal Classification (2018) (63)
Sparse Modeling of Intrinsic Correspondences (2012) (62)
Differentiable Graph Module (DGM) for Graph Convolutional Networks (2020) (62)
Dense Scale Invariant Descriptors for Images and Surfaces (2012) (61)
Geometric deep learning (2016) (60)
Fast end-to-end learning on protein surfaces (2020) (59)
Multimodal Manifold Analysis by Simultaneous Diagonalization of Laplacians (2015) (58)
ShapeNet: Convolutional Neural Networks on Non-Euclidean Manifolds (2015) (57)
Equivariant Subgraph Aggregation Networks (2021) (56)
Discrete Minimum Distortion Correspondence Problems for Non-rigid Shape Matching (2011) (56)
Graph Signal Processing for Machine Learning: A Review and New Perspectives (2020) (55)
SHREC 2010: robust correspondence benchmark (2010) (54)
Matching Deformable Objects in Clutter (2016) (54)
SHREC’16: Partial Matching of Deformable Shapes (2016) (54)
MeshGAN: Non-linear 3D Morphable Models of Faces (2019) (51)
Coupled Functional Maps (2016) (50)
Localized Manifold Harmonics for Spectral Shape Analysis (2017) (50)
Face Recognition from Facial Surface Metric (2004) (49)
Improved Functional Mappings via Product Preservation (2018) (49)
Intrinsic Regularity Detection in 3D Geometry (2010) (45)
Shape‐from‐Operator: Recovering Shapes from Intrinsic Operators (2015) (45)
Affine-invariant diffusion geometry for the analysis of deformable 3D shapes (2010) (42)
Single Image 3D Hand Reconstruction with Mesh Convolutions (2019) (41)
Isospectralization, or How to Hear Shape, Style, and Correspondence (2018) (40)
HyperFoods: Machine intelligent mapping of cancer-beating molecules in foods (2019) (39)
Palmprint recognition via discriminative index learning (2016) (38)
SHREC’16: Matching of Deformable Shapes with Topological Noise (2016) (38)
Expression-invariant face recognition via spherical embedding (2005) (38)
3D Face Recognition without Facial Surface Reconstruction (2003) (38)
Photometric Heat Kernel Signatures (2011) (37)
PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks (2018) (35)
Partial Matching of Deformable Shapes (2016) (35)
Interactive Curve Constrained Functional Maps (2018) (34)
Intel® RealSense™ SR300 Coded Light Depth Camera (2020) (34)
Weighted distance maps computation on parametric three-dimensional manifolds (2007) (32)
Boosted metric learning for 3D multi-modal deformable registration (2011) (32)
Affine-invariant geodesic geometry of deformable 3D shapes (2010) (32)
Multimodal diffusion geometry by joint diagonalization of Laplacians (2012) (31)
Separation of reflections via sparse ICA (2003) (30)
Rock, Paper, and Scissors: extrinsic vs. intrinsic similarity of non-rigid shapes (2007) (30)
Sparse similarity-preserving hashing (2013) (28)
Deformable Shape Retrieval by Learning Diffusion Kernels (2011) (28)
Generative convolutional networks for latent fingerprint reconstruction (2017) (28)
Group-Valued Regularization Framework for Motion Segmentation of Dynamic Non-rigid Shapes (2011) (27)
Efficient Globally Optimal 2D-to-3D Deformable Shape Matching (2016) (27)
Descriptor Learning for Omnidirectional Image Matching (2011) (27)
Fast Multidimensional Scaling using Vector Extrapolation (2008) (26)
SHREC'10 Track: Feature Detection and Description (2010) (26)
BLIND SEPARATION OF REFLECTIONS USING SPARSE ICA (2003) (26)
Regularized Partial Matching of Rigid Shapes (2008) (26)
Beltrami Flow and Neural Diffusion on Graphs (2021) (25)
Utilising Graph Machine Learning within Drug Discovery and Development (2020) (25)
Making Laplacians commute (2013) (25)
High-Resolution Structured Light Range Scanner with Automatic Calibration (2003) (25)
Not only size matters: Regularized partial matching of nonrigid shapes (2008) (25)
Spatially-Sensitive Affine-Invariant Image Descriptors (2010) (25)
Shape Correspondence with Isometric and Non-Isometric Deformations (2019) (24)
The Video Genome (2010) (23)
Expression-invariant three-dimensional face recognition (2005) (23)
Stable volumetric features in deformable shapes (2012) (23)
Kernel Functional Maps (2018) (23)
Latent-Graph Learning for Disease Prediction (2020) (23)
Relative optimization for blind deconvolution (2005) (22)
Fast geometric learning with symbolic matrices (2020) (22)
Laplacian colormaps: a framework for structure‐preserving color transformations (2014) (22)
A Correspondence-Less Approach to Matching of Deformable Shapes (2011) (21)
Optimal nonlinear line-of-flight estimation in positron emission tomography (2003) (21)
Equi-affine Invariant Geometry for Shape Analysis (2013) (20)
Isometric Embedding of Facial Surfaces into (2005) (20)
Affine-Invariant Photometric Heat Kernel Signatures (2012) (19)
Matching Two-Dimensional Articulated Shapes Using Generalized Multidimensional Scaling (2006) (19)
Graph-Coupled Oscillator Networks (2022) (19)
Privacy-Preserving Recommender Systems Challenge on Twitter's Home Timeline (2020) (19)
Deformable Shape Retrieval with Missing Parts (2017) (18)
Deciphering interaction fingerprints from protein molecular surfaces (2019) (18)
Group-Valued Regularization for Analysis of Articulated Motion (2012) (18)
On the Unreasonable Effectiveness of Feature propagation in Learning on Graphs with Missing Node Features (2021) (18)
Fusion of 2D and 3D data in three-dimensional face recognition (2004) (17)
Numerical Geometry of Non-Rigid Shapes, Monographs in Computer Science (2009) (17)
Shape Analysis with Anisotropic Windowed Fourier Transform (2016) (17)
Geometrically Principled Connections in Graph Neural Networks (2020) (17)
Matching of Deformable Shapes with Topological Noise (2016) (16)
Diffusion framework for geometric and photometric data fusion in non-rigid shape analysis (2011) (15)
Functional Maps Representation On Product Manifolds (2018) (15)
Computing and processing correspondences with functional maps (2016) (15)
Network machine learning maps phytochemically rich “Hyperfoods” to fight COVID-19 (2020) (15)
Contactless biometric hand geometry recognition using a low-cost 3D camera (2015) (14)
Computer Vision - ECCV 2014 Workshops (2014) (14)
ncRNA Classification with Graph Convolutional Networks (2019) (14)
Topologically Constrained Isometric Embedding (2006) (14)
Partial Similarity of Shapes Using a Statistical Significance Measure (2009) (14)
Latent Patient Network Learning for Automatic Diagnosis (2020) (14)
GFrames: Gradient-Based Local Reference Frame for 3D Shape Matching (2019) (14)
SHREC'10 Track: Robust Shape Retrieval (2010) (13)
Tuning Word2vec for Large Scale Recommendation Systems (2020) (13)
Putting the Pieces Together: Regularized Multi-part Shape Matching (2012) (12)
Lazy Sliding Window Implementation of the Bilateral Filter on Parallel Architectures (2011) (12)
Feature-Based Methods in 3D Shape Analysis (2012) (12)
Quantifying 3D Shape Similarity Using Maps: Recent Trends, Applications and Perspectives (2014) (12)
Isometric Embedding of Facial Surfaces into S 3 (2004) (11)
3D-color video camera (2009) (11)
Matrix commutators: their asymptotic metric properties and relation to approximate joint diagonalization (2013) (11)
SHREC'10 Track: Correspondence Finding (2010) (11)
Learnable low rank sparse models for speech denoising (2013) (11)
RecSys 2020 Challenge Workshop: Engagement Prediction on Twitter’s Home Timeline (2020) (11)
On reconstruction of non-rigid shapes with intrinsic regularization (2009) (10)
Spatial Maps: From Low Rank Spectral to Sparse Spatial Functional Representations (2017) (10)
Motion-based mesh segmentation using augmented silhouettes (2012) (10)
Shape Palindromes: Analysis of Intrinsic Symmetries in 2D Articulated Shapes (2011) (10)
SHREC ’ 17 : Deformable Shape Retrieval with Missing Parts (2017) (10)
Blind source separation using block-coordinate relative Newton method (2004) (10)
Subspace Least Squares Multidimensional Scaling (2017) (9)
Almost-commuting matrices are almost jointly diagonalizable (2013) (9)
Computer Vision - ECCV 2014 Workshops (2014) (9)
Nonisometric Surface Registration via Conformal Laplace–Beltrami Basis Pursuit (2018) (9)
Facetoface: An Isometric Model for Facial Animation (2006) (9)
Computer Vision - ECCV 2014 Workshops (2014) (9)
Coulomb Shapes: Using Electrostatic Forces for Deformation-invariant Shape Representation (2014) (8)
Privacy-Aware Recommender Systems Challenge on Twitter's Home Timeline. (2020) (7)
Toward understanding the communication in sperm whales (2022) (7)
A MULTIGRID APPROACH FOR MULTI-DIMENSIONAL SCALING∗ (2004) (7)
Heterogeneous manifolds for curvature-aware graph embedding (2022) (7)
Heat kernel coupling for multiple graph analysis (2013) (7)
On a relation between shape recognition algorithms based on distributions of distances (2009) (7)
Attributed Random Walk as Matrix Factorization (2019) (6)
Orthogonalized Fourier Polynomials for Signal Approximation and Transfer (2021) (6)
Analysis of diffusion geometry methods for shape recognition (2009) (6)
Shape My Face: Registering 3D Face Scans by Surface-to-Surface Translation (2020) (6)
Wassertein Barycenter and its Applications to Texture Mixing (2012) (6)
RECOVER: sequential model optimization platform for combination drug repurposing identifies novel synergistic compounds in vitro (2022) (6)
Partition and Code: learning how to compress graphs (2021) (6)
Graph Kernel Neural Networks (2021) (6)
Manifold Analysis by Topologically Constrained Isometric Embedding (2008) (6)
Paretian Similarity for Partial Comparison of Non-rigid Objects (2007) (6)
The Average Mixing Kernel Signature (2020) (6)
Separation of semireflective layers using sparse ICA (2003) (6)
Diffusion Geometry in Shape Analysis (2012) (5)
Articulated Motion Segmentation of Point Clouds by Group-Valued Regularization (2012) (5)
Expression-invariant representations for human faces (2005) (5)
On Separation of Semitransparent Dynamic Images from Static Background (2006) (5)
In the Rigid Kingdom (2008) (5)
Biometrics was no match for hair-raising tricks (2002) (5)
Deep Geometric Matrix Completion: A New Way for Recommender Systems (2018) (5)
Iterative reconstruction in diffraction tomography using nonuniform fast Fourier transform (2002) (5)
Topology Robust Intrinsic Symmetries of non-rigid shapes based on Diffusion Distances (2010) (4)
Structure from Motion Using Augmented Lagrangian Robust Factorization (2012) (4)
BLOCK-COORDINATE RELATIVE NEWTON METHOD FOR BLIND SOURCE SEPARATION (2003) (4)
QML Blind Deconvolution: Asymptotic Analysis (2004) (4)
Scale-invariance in local heat kernel descriptors without scale selection and normalization (2009) (4)
Cetacean Translation Initiative: a roadmap to deciphering the communication of sperm whales (2021) (4)
Quasi-maximum likelihood blind deconvolution of images acquired through scattering media (2004) (4)
3D Shape Analysis Through a Quantum Lens: the Average Mixing Kernel Signature (2022) (3)
An Isometric Model for Facial Animation (3)
Quasi maximum likelihood MIMO blind deconvolution: Super- and sub-Gaussianity versus consistency (2005) (3)
Graph Attentional Autoencoder for Anticancer Hyperfood Prediction (2020) (3)
Computer Vision - ECCV 2014 Workshops: Zurich, Switzerland, September 6-7 and 12, 2014 Proceedings, Part IV (2015) (3)
Embedded System for 3 D Shape Reconstruction (2008) (3)
Blind Deconvolution Using the Relative Newton Method (2004) (3)
Optimal non-linear line-of-flight estimation in positron emission tomography (2002) (3)
Structure-preserving color transformations using Laplacian commutativity (2013) (3)
3D Facial Matching by Spiral Convolutional Metric Learning and a Biometric Fusion-Net of Demographic Properties (2020) (3)
WaldHash: sequential similarity-preserving hashing (2010) (3)
Manifold Intrinsic Similarity (2015) (3)
Automated landmarking for palatal shape analysis using geometric deep learning. (2021) (3)
"Unmixing" tissues: sparse component analysis in multi-contrast MRI (2005) (3)
Blind Source Separation Using the Block-Coordinate Relative Newton Method (2004) (3)
Gamut mapping with image Laplacian commutators (2014) (2)
Affine Invariant Interesting Descriptors (2009) (2)
MAKING LAPLACIANS COMMUTE: MULTIMODAL SPECTRAL GEOMETRY USING CLOSEST COMMUTING OPERATORS∗ (2013) (2)
Kernel diff-hash (2011) (2)
Optimal sparse representations for blind source separation and blind deconvolution: a learning approach (2004) (2)
Optimization on the biorthogonal manifold (2016) (2)
Deep Learning for Shape Analysis (2016) (2)
Stable Spectral Mesh Filtering (2012) (2)
Shape-from-intrinsic operator (2014) (2)
Joint intrinsic and extrinsic similarity for recognition of non-rigid shapes (2007) (2)
Group-Valued Regularization for Motion Segmentation of Articulated Shapes (2013) (2)
Face Recognition without Facial Surface Reconstruction (2003) (2)
Computer Vision - ECCV 2014 Workshops (2014) (2)
Feature-based image alignment via coupled Hough transforms (2009) (2)
Learning interpretable disease self-representations for drug repositioning (2019) (2)
Sparse Models for Intrinsic Shape Correspondence (2016) (1)
Publisher Correction: Deep Machine Learning Techniques for the Detection and Classification of Sperm Whale Bioacoustics (2019) (1)
THE NON-UNIFORM FFT AND SOME OF ITS APPLICATIONS (2002) (1)
Illustrative Rendering of Particle Systems (1)
A-ne-invariant spatial vocabularies (2009) (1)
Optimal Sparse Representations for Blind Deconvolution of Images (2004) (1)
SIMD implementation of the bilateral filter (2009) (1)
Face 2 face 2 : An isometric model for facial animation (2006) (1)
Blind Source Separation (2006) (1)
Asymptotic metrics on the space of matrices under the commutation relation (2013) (1)
Blind separation of tissues in multi-modal MRI using Sparse Component Analysis (2005) (1)
Partial similarity of objects and text sequences (2007) (1)
Partial Single- and Multishape Dense Correspondence Using Functional Maps (2018) (1)
Fast relative Newton algorithm for blind deconvolution of images (2004) (1)
Shape reconstruction with intrinsic priors (2009) (1)
Blind Source Separation : Biomedical applications (2005) (1)
Partial matching of rigid shapes (2008) (1)
Affine-invariant spatial vocabularies (2009) (1)
Computer Vision - ECCV 2014 Workshops: Zurich, Switzerland, September 6-7 and 12, 2014, Proceedings, Part II (2015) (1)
Clustered Dynamic Graph CNN for Biometric 3D Hand Shape Recognition (2020) (1)
New Results - Shape, Landmark & Image-based Deformable Registration (2009) (0)
Isometry Invariant Similarity (2008) (0)
DIM-Net: Learning Detail Disentangled Implicit Fields from Single Images Supplementary Material (2021) (0)
Metric Approaches to Invariant Shape Similarity (2009) (0)
E VALUATING G ENERALIZATION IN GF LOW N ETS FOR M OLECULE D ESIGN (2022) (0)
Chapter 5 STORY OF CINDERELLA : Biometrics and isometry-invariant distances (2007) (0)
Tepzz_849_ B_t Ep 1 849 122 B1 European Patent Specification (54) Facial Recognition and the Open Mouth Problem (0)
Scalable resource allocation for H.264 video encoder: Frame-level controller (2009) (0)
Functional Maps on Product Manifolds (2018) (0)
Multimodal diff-hash (2011) (0)
Chapter 5 Feature-based Methods in 3 D Shape Analysis (2011) (0)
Deformable Shape Completion with Graph Convolutional Autoencoders supplementary material (2018) (0)
Inverse Computational Spectral Geometry (2022) (0)
D Face Recognition without Facial Surface Reconstruction (2003) (0)
Optimal nonlinear estimation of photon coordinates in PET (2002) (0)
New achievements in 3D hand shape recognition (2018) (0)
Isometry-invariant surface matching: numerical algorithms and applications (2007) (0)
Stable Semi-local Features for Non-rigid Shapes (2013) (0)
Number 5 Interactive Curve Constrained Functional Maps (2018) (0)
Story of Cinderella (2007) (0)
Application of the NUFFT for reconstruction problems in diffraction tomography (2002) (0)
Equi-affine Invariant Geometry for Shape Analysis (2013) (0)
Global-Local Graph Neural Networks for Node-Classification (2022) (0)
Learning interaction patterns from surface representations of protein structure (2019) (0)
New Results - Fusion/Registration (2011) (0)
Deep Geometric Matrix Completion (2018) (0)
Shortest Paths and Fast Marching Methods (2008) (0)
CAYLEYNETS: SPECTRAL GRAPH CNNS WITH COMPLEX RATIONAL FILTERS (2018) (0)
Non rigid Correspondence and Calculus of Shapes (2008) (0)
Deep Learning for Computer Graphics and Geometry Processing (2019) (0)
Equi-affine Invariant Geometries of Articulated Objects (2011) (0)
Computing and Processing Correspondences with Functional Maps SIGGRAPH 2017 C (2017) (0)
Enhanced Matrix Completion with Manifold Learning (2015) (0)
GReS: Workshop on Graph Neural Networks for Recommendation and Search (2021) (0)
Neural Diffusion PDEs, Differential Geometry, and Graph Neural Networks (2022) (0)
A Taste of Geometry (2008) (0)
Processing and Analysis of Geometric Shapes Spring 2010 Shape Discretization Adapted from (2010) (0)

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