Workshop Aim:
Recent advances in shape matching provide new opportunities for the design world. The increasing proliferation of visual information in large image databases in engineering, science, business, art and design, and the increasing interest in direct shape retrieval (image retrieval by content), – as opposed to external features of an image such as a description, text or tag – suggests transformative changes in the ways designers think and work with two-dimensional and three-dimensional models in their design workflows. The full potential of these opportunities for engineering and architectural designis yet to be realized: visual shape matching is still absent from current computer-aided design (CAD) systems. The goal of this workshop is to explore the state-of-the-art and current computational methods, processes and practices in shape matching in CAD systems and postulate the future developments and impact in the field.
Questions relevant to this workshop include but are not limited to:
• How can shape matching be used in existing design workflows? Does it suggest new design workflows?
• What new opportunities for design emerge from shape matching?
• Are the similarity measures of shape matching significant for design?
• How would CAD interfaces change to accommodate shape matching methods in design workflows?
• Is it possible to import tools and paradigms from image processing and word processing software to CAD software?
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| Workshop Chair |
Athanassios Economou (thanos@gatech.edu)
Iestyn Jowers (iestyn.jowers@open.ac.uk) |
| Program Committee |
• Chris Earl, Open University
• Thomas Grasl, TU Vienna
• Ramesh Krishnamurti, Carnegie Mellon University
• Kristina Shea, ETH Zurich
• Rudi Stouffs,National University Singapore
• Rob Woodbury, Simon Fraser University
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| Workshop Notes |
| The workshop builds on the Shape Machine Symposium (https://shape.design.gatech.edu/Symposium) |
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