3DJ: An Analytical and Generative Design System for Synthesizing High-Performance Textures from 3D Scans

This paper presents “3D Sampling” as a new creative design process. Analogous to sample-based music, 3D Sampling provides conceptual and technical tools for hacking, mixing, and re-appropriating the material behavior, performance features, and structures of real world objects. Building on previous research, this paper demonstrates a new 3D Sampling design system—“3DJ”. 3DJ implements user-guidance features within an evolutionary design process to synthesize new texture designs from 3D scans. A case study demonstrates the use of 3DJ to generate novel designs for a site-specific architectural canopy from 3D scanned textures.

[1]  Nigel Cross,et al.  Descriptive models of creative design: application to an example , 1997 .

[2]  Stephan Engelsmann,et al.  Plastics: in Architecture and Construction , 2010 .

[3]  Andrew Zisserman,et al.  Texture classification: are filter banks necessary? , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

[4]  Siamak Saharkhiz,et al.  Surface Roughness Evaluation of Textile Fabrics: A Literature Review , 2014 .

[5]  Neri Oxman,et al.  Material-based Design Computation An Inquiry into Digital Simulation of Physical Material Properties as Design Generators , 2007 .

[6]  DeLiang Wang,et al.  Texture classification using spectral histograms , 2003, IEEE Trans. Image Process..

[7]  Jack Sklansky,et al.  Image Segmentation and Feature Extraction , 1978, IEEE Transactions on Systems, Man, and Cybernetics.

[8]  Caitlin Mueller,et al.  Combining structural performance and designer preferences in evolutionary design space exploration , 2015 .

[9]  Francis Heylighen,et al.  Objective, Subjective and Intersubjective Selectors of Knowledge , 1997 .

[10]  W. Achtziger,et al.  Topology Optimization of Discrete Structures , 1997 .

[11]  Dj Spooky that subliminal kid.  Sound Unbound : Sampling Digital Music and Culture , 2008 .

[12]  Alexander A. Pasko,et al.  Morphological shape generation through user-controlled group metamorphosis , 2013, Comput. Graph..

[13]  Alexei A. Efros,et al.  Image quilting for texture synthesis and transfer , 2001, SIGGRAPH.

[14]  David Salesin,et al.  Image Analogies , 2001, SIGGRAPH.

[15]  Reinhard Klein,et al.  Patch‐based Texture Interpolation , 2010, Comput. Graph. Forum.

[16]  Anil K. Jain,et al.  Texture Segmentation Using Voronoi Polygons , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[17]  Marc Levoy,et al.  Fast texture synthesis using tree-structured vector quantization , 2000, SIGGRAPH.

[18]  Alexei A. Efros,et al.  Texture synthesis by non-parametric sampling , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

[19]  Kam-Ming Mark Tam,et al.  Robotics-Enabled Stress Line Additive Manufacturing , 2016 .

[20]  Tania Landes,et al.  Automatic Extraction of Planar Clusters and Their Contours on Building Façades Recorded by Terrestrial Laser Scanner , 2009 .

[21]  Caitlin Mueller,et al.  3dj: 3d Sampling Haptic and Optically Performative Textures Remixed from 3d Scans , 2015 .

[22]  Kush R. Varshney,et al.  Cognition as a part of computational creativity , 2013, 2013 IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing.

[23]  Demetri Terzopoulos,et al.  Zoomorphic design , 2015, ACM Trans. Graph..

[24]  Dan Ventura.  No Free Lunch in the Search for Creativity , 2011, ICCC.

[25]  George I. N. Rozvany,et al.  Layout Optimization of Structures , 1995 .

[26]  Michael Ashikhmin,et al.  Synthesizing natural textures , 2001, I3D '01.

[27]  M. Rajalakshmi,et al.  International Journal of Advanced Studies in Computer Science & Engineering , 2014 .

[28]  Andrew Zisserman,et al.  A Statistical Approach to Texture Classification from Single Images , 2005, International Journal of Computer Vision.