Data-driven suggestions for creativity support in 3D modeling

We introduce data-driven suggestions for 3D modeling. Data-driven suggestions support open-ended stages in the 3D modeling process, when the appearance of the desired model is ill-defined and the artist can benefit from customized examples that stimulate creativity. Our approach computes and presents components that can be added to the artist's current shape. We describe shape retrieval and shape correspondence techniques that support the generation of data-driven suggestions, and report preliminary experiments with a tool for creative prototyping of 3D models.

[1]  T. Funkhouser,et al.  A planar-reflective symmetry transform for 3D shapes , 2006, ACM Trans. Graph..

[2]  R. Weisberg.  Creativity: Understanding Innovation in Problem Solving, Science, Invention, and the Arts , 2006 .

[3]  Alexei A. Efros,et al.  Scene completion using millions of photographs , 2007, SIGGRAPH 2007.

[4]  Jade Goldstein-Stewart,et al.  The use of MMR, diversity-based reranking for reordering documents and producing summaries , 1998, SIGIR '98.

[5]  Nigel Cross,et al.  Design cognition: results from protocol and other empirical studies of design activity , 2001 .

[6]  Subhransu Maji,et al.  Classification using intersection kernel support vector machines is efficient , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[7]  Piotr Indyk,et al.  Approximate nearest neighbors: towards removing the curse of dimensionality , 1998, STOC '98.

[8]  Stefano Soatto,et al.  Proximity Distribution Kernels for Geometric Context in Category Recognition , 2007, 2007 IEEE 11th International Conference on Computer Vision.

[9]  Leonidas J. Guibas,et al.  Shape Decomposition using Modal Analysis , 2009, Comput. Graph. Forum.

[10]  Elizabeth D. Mynatt,et al.  Side views: persistent, on-demand previews for open-ended tasks , 2002, UIST '02.

[11]  J. Glover,et al.  Handbook of creativity. , 1989 .

[12]  Steven M. Smith,et al.  Creative Cognition: Theory, Research, and Applications , 1996 .

[13]  Trevor Darrell,et al.  The Pyramid Match Kernel: Efficient Learning with Sets of Features , 2007, J. Mach. Learn. Res..

[14]  Takeo Igarashi,et al.  A suggestive interface for 3D drawing , 2001, SIGGRAPH Courses.

[15]  Aaron Hertzmann,et al.  Learning 3D mesh segmentation and labeling , 2010, ACM Trans. Graph..

[16]  A. Bronstein,et al.  Shape Google : a computer vision approach to invariant shape retrieval , 2009 .

[17]  Ben Shneiderman,et al.  Creativity support tools: accelerating discovery and innovation , 2007, CACM.

[18]  Elizabeth D. Mynatt,et al.  Variation in element and action: supporting simultaneous development of alternative solutions , 2004, CHI.

[19]  Kristen Grauman,et al.  Kernelized locality-sensitive hashing for scalable image search , 2009, 2009 IEEE 12th International Conference on Computer Vision.

[20]  Alla Sheffer,et al.  Model Composition from Interchangeable Components , 2007, 15th Pacific Conference on Computer Graphics and Applications (PG'07).

[21]  Daniel Cohen-Or,et al.  SnapPaste: an interactive technique for easy mesh composition , 2006, The Visual Computer.

[22]  R. Marsh,et al.  How examples may (and may not) constrain creativity , 1996, Memory & cognition.

[23]  A. Philip McMahon,et al.  The Principles of Art , 1939 .

[24]  Szymon Rusinkiewicz,et al.  Modeling by example , 2004, ACM Trans. Graph..

[25]  Ben Shneiderman,et al.  Design Principles for Tools to Support Creative Thinking , 2005 .

[26]  Michael J. Swain,et al.  Color indexing , 1991, International Journal of Computer Vision.

[27]  Daniel Cohen-Or,et al.  Consistent mesh partitioning and skeletonisation using the shape diameter function , 2008, The Visual Computer.

[28]  Leonidas J. Guibas,et al.  Example-Based 3D Scan Completion , 2005 .

[29]  Daniel Cohen-Or,et al.  3D collage: expressive non-realistic modeling , 2007, NPAR '07.

[30]  Pat Hanrahan,et al.  Exploratory modeling with collaborative design spaces , 2009, ACM Trans. Graph..

[31]  Nancy M. Amato,et al.  Approximate convex decomposition of polyhedra , 2004, Symposium on Solid and Physical Modeling.

[32]  Francesca Odone,et al.  Building kernels from binary strings for image matching , 2005, IEEE Transactions on Image Processing.

[33]  A. Treisman,et al.  A feature-integration theory of attention , 1980, Cognitive Psychology.

[34]  Ronen I. Brafman,et al.  Designing with interactive example galleries , 2010, CHI.

[35]  Andrew E. Johnson,et al.  Spin-Images: A Representation for 3-D Surface Matching , 1997 .

[36]  Bernard Chazelle,et al.  Shape distributions , 2002, TOGS.

[37]  Martin Reuter,et al.  Hierarchical Shape Segmentation and Registration via Topological Features of Laplace-Beltrami Eigenfunctions , 2010, International Journal of Computer Vision.

[38]  M. Boden.  The creative mind : myths & mechanisms , 1991 .

[39]  Tovi Grossman,et al.  CommunityCommands: command recommendations for software applications , 2009, UIST '09.

[40]  Alexei A. Efros,et al.  Photo clip art , 2007, ACM Trans. Graph..

[41]  Scott R. Klemmer,et al.  What would other programmers do: suggesting solutions to error messages , 2010, CHI.

[42]  Daniel Cohen-Or,et al.  4-points congruent sets for robust pairwise surface registration , 2008, ACM Trans. Graph..

[43]  R. Sternberg.  Enhancing Creativity , 2022, Creativity.

[44]  Ben Shneiderman,et al.  Creativity Support Tools: Report From a U.S. National Science Foundation Sponsored Workshop , 2006, Int. J. Hum. Comput. Interact..