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ORCIDMichiel van de Panne
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- affiliation: University of British Columbia, Vancouver, Canada
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2020 – today
- 2024
[c58]Setareh Cohan
, Guy Tevet, Daniele Reda, Xue Bin Peng, Michiel van de Panne:
Flexible Motion In-betweening with Diffusion Models. SIGGRAPH (Conference Paper Track) 2024: 69- [i28]Setareh Cohan, Guy Tevet, Daniele Reda, Xue Bin Peng, Michiel van de Panne:
Flexible Motion In-betweening with Diffusion Models. CoRR abs/2405.11126 (2024) - [i27]Sehoon Ha, Joonho Lee, Michiel van de Panne, Zhaoming Xie, Wenhao Yu, Majid Khadiv:
Learning-based legged locomotion; state of the art and future perspectives. CoRR abs/2406.01152 (2024) - 2023
- [j48]Zhaoming Xie, Jonathan Tseng, Sebastian Starke, Michiel van de Panne, C. Karen Liu:
Hierarchical Planning and Control for Box Loco-Manipulation. Proc. ACM Comput. Graph. Interact. Tech. 6(3): 31:1-31:18 (2023) - [j47]Daniele Reda, Jungdam Won, Yuting Ye, Michiel van de Panne, Alexander W. Winkler:
Physics-based Motion Retargeting from Sparse Inputs. Proc. ACM Comput. Graph. Interact. Tech. 6(3): 33:1-33:19 (2023) - [c57]Yuni Fuchioka, Zhaoming Xie, Michiel van de Panne:
OPT-Mimic: Imitation of Optimized Trajectories for Dynamic Quadruped Behaviors. ICRA 2023: 5092-5098 - [c56]Alexis Jensen, Thomas Chatagnon, Niloofar Khoshsiyar, Daniele Reda, Michiel van de Panne, Charles Pontonnier, Julien Pettré:
Physical Simulation of Balance Recovery after a Push. MIG 2023: 23:1-23:11 - [i26]Zhaoming Xie, Jonathan Tseng, Sebastian Starke, Michiel van de Panne, C. Karen Liu:
Hierarchical Planning and Control for Box Loco-Manipulation. CoRR abs/2306.09532 (2023) - [i25]Daniele Reda, Jungdam Won, Yuting Ye, Michiel van de Panne, Alexander W. Winkler:
Physics-based Motion Retargeting from Sparse Inputs. CoRR abs/2307.01938 (2023) - 2022
- [j46]Ariel Kwiatkowski, Eduardo Alvarado, Vicky Kalogeiton, C. Karen Liu, Julien Pettré, Michiel van de Panne, Marie-Paule Cani:
A Survey on Reinforcement Learning Methods in Character Animation. Comput. Graph. Forum 41(2): 613-639 (2022) - [j45]Amin Babadi, Michiel van de Panne, C. Karen Liu, Perttu Hämäläinen:
Learning Task-Agnostic Action Spaces for Movement Optimization. IEEE Trans. Vis. Comput. Graph. 28(12): 4700-4712 (2022) - [c55]Tianxin Tao, Xiaohang Zhan, Zhongquan Chen, Michiel van de Panne:
Style-ERD: Responsive and Coherent Online Motion Style Transfer. CVPR 2022: 6583-6593 - [c54]Setareh Cohan, Nam Hee Kim, David Rolnick, Michiel van de Panne:
Understanding the Evolution of Linear Regions in Deep Reinforcement Learning. NeurIPS 2022 - [c53]Daniele Reda, Hung Yu Ling, Michiel van de Panne:
Learning to Brachiate via Simplified Model Imitation. SIGGRAPH (Conference Paper Track) 2022: 24:1-24:9 - [c52]Zhaoming Xie, Sebastian Starke, Hung Yu Ling, Michiel van de Panne:
Learning Soccer Juggling Skills with Layer-wise Mixture-of-Experts. SIGGRAPH (Conference Paper Track) 2022: 25:1-25:9 - [c51]Tianxin Tao, Matthew Wilson, Ruiyu Gou, Michiel van de Panne:
Learning to Get Up. SIGGRAPH (Conference Paper Track) 2022: 47:1-47:10 - [c50]Zhaoming Xie, Xingye Da, Buck Babich, Animesh Garg, Michiel van de Panne:
GLiDE: Generalizable Quadrupedal Locomotion in Diverse Environments with a Centroidal Model. WAFR 2022: 523-539 - [i24]Michael Teng, Michiel van de Panne, Frank Wood:
Exploration with Multi-Sample Target Values for Distributional Reinforcement Learning. CoRR abs/2202.02693 (2022) - [i23]Tianxin Tao, Xiaohang Zhan, Zhongquan Chen, Michiel van de Panne:
Style-ERD: Responsive and Coherent Online Motion Style Transfer. CoRR abs/2203.02574 (2022) - [i22]Ariel Kwiatkowski, Eduardo Alvarado, Vicky Kalogeiton, C. Karen Liu, Julien Pettré, Michiel van de Panne, Marie-Paule Cani:
A Survey on Reinforcement Learning Methods in Character Animation. CoRR abs/2203.04735 (2022) - [i21]Tianxin Tao, Daniele Reda, Michiel van de Panne:
Evaluating Vision Transformer Methods for Deep Reinforcement Learning from Pixels. CoRR abs/2204.04905 (2022) - [i20]Tianxin Tao, Matthew Wilson, Ruiyu Gou, Michiel van de Panne:
Learning to Get Up. CoRR abs/2205.00307 (2022) - [i19]Daniele Reda, Hung Yu Ling, Michiel van de Panne:
Learning to Brachiate via Simplified Model Imitation. CoRR abs/2205.03943 (2022) - [i18]Yuni Fuchioka, Zhaoming Xie, Michiel van de Panne:
OPT-Mimic: Imitation of Optimized Trajectories for Dynamic Quadruped Behaviors. CoRR abs/2210.01247 (2022) - [i17]Setareh Cohan, Nam Hee Kim, David Rolnick, Michiel van de Panne:
Understanding the Evolution of Linear Regions in Deep Reinforcement Learning. CoRR abs/2210.13611 (2022) - 2021
- [j44]Nam Hee Kim, Hung Yu Ling, Zhaoming Xie, Michiel van de Panne:
Flexible Motion Optimization with Modulated Assistive Forces. Proc. ACM Comput. Graph. Interact. Tech. 4(3): 35:1-35:25 (2021) - [j43]Zhiqi Yin, Zeshi Yang, Michiel van de Panne, KangKang Yin:
Discovering diverse athletic jumping strategies. ACM Trans. Graph. 40(4): 91:1-91:17 (2021) - [c49]Zhaoming Xie, Xingye Da, Michiel van de Panne, Buck Babich, Animesh Garg:
Dynamics Randomization Revisited: A Case Study for Quadrupedal Locomotion. ICRA 2021: 4955-4961 - [i16]Hung Yu Ling, Fabio Zinno, George Cheng, Michiel van de Panne:
Character Controllers Using Motion VAEs. CoRR abs/2103.14274 (2021) - [i15]Zhaoming Xie, Xingye Da, Buck Babich, Animesh Garg, Michiel van de Panne:
GLiDE: Generalizable Quadrupedal Locomotion in Diverse Environments with a Centroidal Model. CoRR abs/2104.09771 (2021) - [i14]Zhiqi Yin, Zeshi Yang, Michiel van de Panne, KangKang Yin:
Discovering Diverse Athletic Jumping Strategies. CoRR abs/2105.00371 (2021) - [i13]Nicholas Roy, Ingmar Posner, Tim D. Barfoot, Philippe Beaudoin, Yoshua Bengio, Jeannette Bohg, Oliver Brock, Isabelle Depatie, Dieter Fox, Daniel E. Koditschek, Tomás Lozano-Pérez, Vikash Mansinghka, Christopher J. Pal, Blake A. Richards, Dorsa Sadigh, Stefan Schaal, Gaurav S. Sukhatme, Denis Thérien, Marc Toussaint, Michiel van de Panne:
From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence. CoRR abs/2110.15245 (2021) - 2020
- [j42]Zhaoming Xie, Hung Yu Ling, Nam Hee Kim, Michiel van de Panne:
ALLSTEPS: Curriculum-driven Learning of Stepping Stone Skills. Comput. Graph. Forum 39(8): 213-224 (2020) - [j41]Hung Yu Ling, Fabio Zinno, George Cheng, Michiel van de Panne:
Character controllers using motion VAEs. ACM Trans. Graph. 39(4): 40 (2020) - [j40]Taesoo Kwon, Yoonsang Lee, Michiel van de Panne:
Fast and flexible multilegged locomotion using learned centroidal dynamics. ACM Trans. Graph. 39(4): 46 (2020) - [c48]Nam Hee Kim, Zhaoming Xie, Michiel van de Panne:
Learning to Correspond Dynamical Systems. L4DC 2020: 105-117 - [c47]Daniele Reda, Tianxin Tao, Michiel van de Panne:
Learning to Locomote: Understanding How Environment Design Matters for Deep Reinforcement Learning. MIG 2020: 16:1-16:10 - [i12]Zhaoming Xie, Hung Yu Ling, Nam Hee Kim, Michiel van de Panne:
ALLSTEPS: Curriculum-driven Learning of Stepping Stone Skills. CoRR abs/2005.04323 (2020) - [i11]Amin Babadi, Michiel van de Panne, C. Karen Liu, Perttu Hämäläinen:
Learning Task-Agnostic Action Spaces for Movement Optimization. CoRR abs/2009.10337 (2020) - [i10]Daniele Reda, Tianxin Tao, Michiel van de Panne:
Learning to Locomote: Understanding How Environment Design Matters for Deep Reinforcement Learning. CoRR abs/2010.04304 (2020) - [i9]Zhaoming Xie, Xingye Da, Michiel van de Panne, Buck Babich, Animesh Garg:
Dynamics Randomization Revisited: A Case Study for Quadrupedal Locomotion. CoRR abs/2011.02404 (2020)
2010 – 2019
- 2019
- [c46]Zhaoming Xie, Patrick Clary, Jeremy Dao, Pedro Morais, Jonathan W. Hurst, Michiel van de Panne:
Learning Locomotion Skills for Cassie: Iterative Design and Sim-to-Real. CoRL 2019: 317-329 - [c45]Farzad Abdolhosseini, Hung Yu Ling, Zhaoming Xie, Xue Bin Peng, Michiel van de Panne:
On Learning Symmetric Locomotion. MIG 2019: 19:1-19:10 - [i8]Zhaoming Xie, Patrick Clary, Jeremy Dao, Pedro Morais, Jonathan W. Hurst, Michiel van de Panne:
Iterative Reinforcement Learning Based Design of Dynamic Locomotion Skills for Cassie. CoRR abs/1903.09537 (2019) - [i7]Nam Hee Kim, Zhaoming Xie, Michiel van de Panne:
Learning to Correspond Dynamical Systems. CoRR abs/1912.03015 (2019) - 2018
- [j39]Amir Hossein Rabbani, Michiel van de Panne, Paul G. Kry:
Anticipatory balance control and dimension reduction. Comput. Animat. Virtual Worlds 29(6) (2018) - [j38]Xue Bin Peng, Pieter Abbeel, Sergey Levine, Michiel van de Panne:
DeepMimic: example-guided deep reinforcement learning of physics-based character skills. ACM Trans. Graph. 37(4): 143 (2018) - [c44]Glen Berseth, Cheng Xie, Paul Cernek, Michiel van de Panne:
Progressive Reinforcement Learning with Distillation for Multi-Skilled Motion Control. ICLR (Poster) 2018 - [c43]Zhaoming Xie, Glen Berseth, Patrick Clary, Jonathan W. Hurst, Michiel van de Panne:
Feedback Control For Cassie With Deep Reinforcement Learning. IROS 2018: 1241-1246 - [c42]Glen Berseth, Alex Kyriazis, Ivan Zinin, William Choi, Michiel van de Panne:
Model-Based Action Exploration for Learning Dynamic Motion Skills. IROS 2018: 1540-1546 - [c41]Xinyi Zhang, Michiel van de Panne:
Data-driven autocompletion for keyframe animation. MIG 2018: 10:1-10:11 - [i6]Glen Berseth, Michiel van de Panne:
Model-Based Action Exploration. CoRR abs/1801.03954 (2018) - [i5]Glen Berseth, Cheng Xie, Paul Cernek, Michiel van de Panne:
Progressive Reinforcement Learning with Distillation for Multi-Skilled Motion Control. CoRR abs/1802.04765 (2018) - [i4]Zhaoming Xie, Glen Berseth, Patrick Clary, Jonathan W. Hurst, Michiel van de Panne:
Feedback Control For Cassie With Deep Reinforcement Learning. CoRR abs/1803.05580 (2018) - [i3]Xue Bin Peng, Pieter Abbeel, Sergey Levine, Michiel van de Panne:
DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills. CoRR abs/1804.02717 (2018) - [i2]Glen Berseth, Xue Bin Peng, Michiel van de Panne:
Terrain RL Simulator. CoRR abs/1804.06424 (2018) - 2017
- [j37]Mazen Al Borno, Michiel van de Panne, Eugene Fiume:
Domain of Attraction Expansion for Physics-Based Character Control. ACM Trans. Graph. 36(2): 17:1-17:11 (2017) - [j36]Xue Bin Peng, Glen Berseth, KangKang Yin, Michiel van de Panne:
DeepLoco: dynamic locomotion skills using hierarchical deep reinforcement learning. ACM Trans. Graph. 36(4): 41:1-41:13 (2017) - [c40]Xue Bin Peng, Michiel van de Panne:
Learning locomotion skills using DeepRL: does the choice of action space matter? Symposium on Computer Animation 2017: 12:1-12:13 - 2016
- [j35]Libin Liu, Michiel van de Panne, KangKang Yin:
Guided Learning of Control Graphs for Physics-Based Characters. ACM Trans. Graph. 35(3): 29:1-29:14 (2016) - [j34]Xue Bin Peng, Glen Berseth, Michiel van de Panne:
Terrain-adaptive locomotion skills using deep reinforcement learning. ACM Trans. Graph. 35(4): 81:1-81:12 (2016) - [j33]Shailen Agrawal, Michiel van de Panne:
Task-based locomotion. ACM Trans. Graph. 35(4): 82:1-82:11 (2016) - [c39]Michiel van de Panne, Paul G. Kry:
A Conversation with the CHCCS/SCDHM 2016 Achievement Award Winner. Graphics Interface 2016: 1-3 - [c38]Even Entem, Loïc Barthe, Marie-Paule Cani, Michiel van de Panne:
From drawing to animation-ready vector graphics. SIGGRAPH Posters 2016: 52:1-52:2 - [i1]Xue Bin Peng, Michiel van de Panne:
Learning Locomotion Skills Using DeepRL: Does the Choice of Action Space Matter? CoRR abs/1611.01055 (2016) - 2015
- [j32]Even Entem, Loïc Barthe, Marie-Paule Cani, Frederic Cordier, Michiel van de Panne:
Modeling 3D animals from a side-view sketch. Comput. Graph. 46: 221-230 (2015) - [j31]Michael Firmin, Michiel van de Panne:
Controller Design for Multi-Skilled Bipedal Characters. Comput. Graph. Forum 34(8): 50-63 (2015) - [j30]Xue Bin Peng, Glen Berseth, Michiel van de Panne:
Dynamic terrain traversal skills using reinforcement learning. ACM Trans. Graph. 34(4): 80:1-80:11 (2015) - [j29]Boris Dalstein, Rémi Ronfard, Michiel van de Panne:
Vector graphics animation with time-varying topology. ACM Trans. Graph. 34(4): 145:1-145:12 (2015) - [c37]Kai Ding, Libin Liu, Michiel van de Panne, KangKang Yin:
Learning reduced-order feedback policies for motion skills. Symposium on Computer Animation 2015: 83-92 - 2014
- [j28]Michiel van de Panne:
Motion fields for interactive character animation: technical perspective. Commun. ACM 57(6): 100 (2014) - [j27]Boris Dalstein, Rémi Ronfard, Michiel van de Panne:
Vector graphics complexes. ACM Trans. Graph. 33(4): 133:1-133:12 (2014) - [j26]Shailen Agrawal, Shuo Shen, Michiel van de Panne:
Diverse Motions and Character Shapes for Simulated Skills. IEEE Trans. Vis. Comput. Graph. 20(10): 1345-1355 (2014) - [c36]Amir Hossein Rabbani, Michiel van de Panne, Paul G. Kry:
Anticipatory balance control. MIG 2014: 71-76 - 2013
- [j25]Thomas Geijtenbeek, Michiel van de Panne, A. Frank van der Stappen:
Flexible muscle-based locomotion for bipedal creatures. ACM Trans. Graph. 32(6): 206:1-206:11 (2013) - [c35]Shailen Agrawal, Michiel van de Panne:
Pareto Optimal Control for Natural and Supernatural Motions. MIG 2013: 29-38 - [c34]Shailen Agrawal, Shuo Shen, Michiel van de Panne:
Diverse motion variations for physics-based character animation. Symposium on Computer Animation 2013: 37-44 - 2012
- [j24]Libin Liu, KangKang Yin, Michiel van de Panne, Baining Guo:
Terrain runner: control, parameterization, composition, and planning for highly dynamic motions. ACM Trans. Graph. 31(6): 154:1-154:10 (2012) - [j23]Adam W. Bargteil, Michiel van de Panne:
Guest Editor's Introduction: Special Section on the ACM SIGGRAPH/Eurographics Symposium on Computer Animation (SCA). IEEE Trans. Vis. Comput. Graph. 18(8): 1189-1190 (2012) - [c33]Andrej Karpathy, Michiel van de Panne:
Curriculum Learning for Motor Skills. Canadian AI 2012: 325-330 - 2011
- [j22]Stelian Coros, Andrej Karpathy, Ben Jones, Lionel Revéret, Michiel van de Panne:
Locomotion skills for simulated quadrupeds. ACM Trans. Graph. 30(4): 59 (2011) - [j21]Nicolas Bonneel, Michiel van de Panne, Sylvain Paris, Wolfgang Heidrich:
Displacement interpolation using Lagrangian mass transport. ACM Trans. Graph. 30(6): 158 (2011) - [p1]Michiel van de Panne, Dana Sharon:
Flexible Parts-based Sketch Recognition. Sketch-based Interfaces and Modeling 2011: 153-179 - [e5]Adam W. Bargteil, Michiel van de Panne:
Proceedings of the 2011 Eurographics/ACM SIGGRAPH Symposium on Computer Animation, SCA 2011, Vancouver, BC, Canada, 2011. Eurographics Association 2011, ISBN 978-1-4503-0923-3 [contents] - 2010
- [j20]Hamish A. Carr, Jack Snoeyink, Michiel van de Panne:
Flexible isosurfaces: Simplifying and displaying scalar topology using the contour tree. Comput. Geom. 43(1): 42-58 (2010) - [j19]Libin Liu, KangKang Yin, Michiel van de Panne, Tianjia Shao, Weiwei Xu:
Sampling-based contact-rich motion control. ACM Trans. Graph. 29(4): 128:1-128:10 (2010) - [j18]Stelian Coros, Philippe Beaudoin, Michiel van de Panne:
Generalized biped walking control. ACM Trans. Graph. 29(4): 130:1-130:9 (2010) - [c32]Michiel van de Panne:
Skills-in-a-Box: Towards Abstract Models of Motor Skills. MIG 2010: 106-108 - [c31]Nicolas Bonneel, Michiel van de Panne, Sylvain Lefebvre, George Drettakis:
Proxy-Guided Texture Synthesis for Rendering Natural Scenes. VMV 2010: 87-95
2000 – 2009
- 2009
- [j17]Nicolas Bonneel, Sylvain Paris, Michiel van de Panne, Frédo Durand, George Drettakis:
Single Photo Estimation of Hair Appearance. Comput. Graph. Forum 28(4): 1171-1180 (2009) - [j16]Weiwei Xu, Jun Wang, KangKang Yin, Kun Zhou, Michiel van de Panne, Falai Chen, Baining Guo:
Joint-aware manipulation of deformable models. ACM Trans. Graph. 28(3): 35 (2009) - [j15]Stelian Coros, Philippe Beaudoin, Michiel van de Panne:
Robust task-based control policies for physics-based characters. ACM Trans. Graph. 28(5): 170 (2009) - [c30]Vladislav Kraevoy, Alla Sheffer, Michiel van de Panne:
Modeling from Contour Drawings. SBIM 2009: 37-44 - 2008
- [j14]Michiel van de Panne, Eric Saund:
Computers and Graphics special issue on EG SBIM 2007. Comput. Graph. 32(5): 485 (2008) - [j13]KangKang Yin, Stelian Coros, Philippe Beaudoin, Michiel van de Panne:
Continuation methods for adapting simulated skills. ACM Trans. Graph. 27(3): 81 (2008) - [j12]Stelian Coros, Philippe Beaudoin, KangKang Yin, Michiel van de Panne:
Synthesis of constrained walking skills. ACM Trans. Graph. 27(5): 113 (2008) - [j11]Tao Ju, Qian-Yi Zhou, Michiel van de Panne, Daniel Cohen-Or, Ulrich Neumann:
Reusable skinning templates using cage-based deformations. ACM Trans. Graph. 27(5): 122 (2008) - [c29]Philippe Beaudoin, Stelian Coros, Michiel van de Panne, Pierre Poulin:
Motion-Motif Graphs. Symposium on Computer Animation 2008: 117-126 - 2007
- [j10]KangKang Yin, Kevin Loken, Michiel van de Panne:
SIMBICON: simple biped locomotion control. ACM Trans. Graph. 26(3): 105 (2007) - [c28]Philippe Beaudoin, Pierre Poulin, Michiel van de Panne:
Adapting wavelet compression to human motion capture clips. Graphics Interface 2007: 313-318 - [c27]Maciej Kalisiak, Michiel van de Panne:
Faster Motion Planning Using Learned Local Viability Models. ICRA 2007: 2700-2705 - [c26]Matthew Thorne, David Burke, Michiel van de Panne:
Motion doodles: an interface for sketching character motion. SIGGRAPH Courses 2007: 24 - [e4]Michiel van de Panne, Eric Saund:
4th Eurographics Workshop on Sketch-Based Interfaces and Modeling, SBIM 2007, Riverside, CA, USA, August 2-3, 2007, Proceedings. Eurographics Association 2007, ISBN 978-3-905674-00-2 [contents] - 2006
- [c25]Maciej Kalisiak, Michiel van de Panne:
RRT-blossom: RRT with a Local Flood-fill Behavior. ICRA 2006: 1237-1242 - [c24]Dana Sharon, Michiel van de Panne:
Constellation Models for Sketch Recognition. SBM 2006: 19-26 - [c23]Zhijin Wang, Michiel van de Panne:
Walk to here: a voice driven animation system. Symposium on Computer Animation 2006: 243-251 - [c22]David White, Kevin Loken, Michiel van de Panne:
Slow in and slow out cartoon animation filter. SIGGRAPH Research Posters 2006: 3 - [c21]Matthew Thorne, David Burke, Michiel van de Panne:
Motion doodles: an interface for sketching character motion. SIGGRAPH Courses 2006: 16 - 2005
- [c20]Dana Sharon, Michiel van de Panne:
Synthesis of Controllers for Stylized Planar Bipedal Walking. ICRA 2005: 2387-2392 - [c19]Kenneth Robert Alton, Michiel van de Panne:
Learning to Steer on Winding Tracks Using Semi-Parametric Control Policies. ICRA 2005: 4588-4593 - [c18]Chen Yang, Dana Sharon, Michiel van de Panne:
Sketch-based Modeling of Parameterized Objects. SBM 2005: 63-72 - [c17]Peng Zhao, Michiel van de Panne:
User interfaces for interactive control of physics-based 3D characters. SI3D 2005: 87-94 - [c16]Chen Yang, Dana Sharon, Michiel van de Panne:
Sketch-based modeling of parameterized objects. SIGGRAPH Sketches 2005: 89 - [e3]Kori Inkpen, Michiel van de Panne:
Proceedings of the Graphics Interface 2005 Conference, May 9-11, 2005, Victoria, British Columbia, Canada. Canadian Human-Computer Communications Society 2005, ISBN 1-56881-265-5 [contents] - 2004
- [j9]Matthew Thorne, David Burke, Michiel van de Panne:
Motion doodles: an interface for sketching character motion. ACM Trans. Graph. 23(3): 424-431 (2004) - [j8]Jason Harrison, Ronald A. Rensink, Michiel van de Panne:
Obscuring length changes during animated motion. ACM Trans. Graph. 23(3): 569-573 (2004) - [c15]Maciej Kalisiak, Michiel van de Panne:
Approximate Safety Enforcement using Computed Viability Envelopes. ICRA 2004: 4289-4294 - [c14]Hamish A. Carr, Jack Snoeyink, Michiel van de Panne:
Simplifying Flexible Isosurfaces Using Local Geometric Measures. IEEE Visualization 2004: 497-504 - 2003
- [c13]