Abstract
| Language | English |
|---|---|
| Title of host publication | Proceedings of the 2009 ACM Symposium on Solid and Physical Modeling, San Francisco, California, USA |
| Place of Publication | New York, USA |
| Pages | 313-318 |
| Number of pages | 5 |
| DOIs | |
| Publication status | Published - 8 Oct 2009 |
| Event | SPM 09 2009 SIAM/ACM Joint Conference on Geometric and Physical Modeling - San Francisco, United States Duration: 5 Oct 2009 → 8 Oct 2009 |
Conference
| Conference | SPM 09 2009 SIAM/ACM Joint Conference on Geometric and Physical Modeling |
|---|---|
| Abbreviated title | SPM09 |
| Country | United States |
| City | San Francisco |
| Period | 5/10/09 → 8/10/09 |
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Keywords
- 2D strip packing
- 3D similarity
- canonical view
- crowdsourcing
- geometric reasoning
- mTurk
- micro-outsourcing
Cite this
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Geometric reasoning via internet crowdsourcing. / Jagadeesan, A. P.; Lynn, A.; Wenzel, J.; Sherlock, A.; Regli, W.; Corney, J.R.; Yan, X.T.; Torres-Sanchez, C.
Proceedings of the 2009 ACM Symposium on Solid and Physical Modeling, San Francisco, California, USA. New York, USA, 2009. p. 313-318.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book
TY - GEN
T1 - Geometric reasoning via internet crowdsourcing
AU - Jagadeesan, A. P.
AU - Lynn, A.
AU - Wenzel, J.
AU - Sherlock, A.
AU - Regli, W.
AU - Corney, J.R.
AU - Yan, X.T.
AU - Torres-Sanchez, C.
PY - 2009/10/8
Y1 - 2009/10/8
N2 - The ability to interpret and reason about shapes is a peculiarly human capability that has proven difficult to reproduce algorithmically. So despite the fact that geometric modeling technology has made significant advances in the representation, display and modification of shapes, there have only been incremental advances in geometric reasoning. For example, although today's CAD systems can confidently identify isolated cylindrical holes, they struggle with more ambiguous tasks such as the identification of partial symmetries or similarities in arbitrary geometries. Even well defined problems such as 2D shape nesting or 3D packing generally resist elegant solution and rely instead on brute force explorations of a subset of the many possible solutions. Identifying economic ways to solving such problems would result in significant productivity gains across a wide range of industrial applications. The authors hypothesize that Internet Crowdsourcing might provide a pragmatic way of removing many geometric reasoning bottlenecks.This paper reports the results of experiments conducted with Amazon's mTurk site and designed to determine the feasibility of using Internet Crowdsourcing to carry out geometric reasoning tasks as well as establish some benchmark data for the quality, speed and costs of using this approach.After describing the general architecture and terminology of the mTurk Crowdsourcing system, the paper details the implementation and results of the following three investigations; 1) the identification of "Canonical" viewpoints for individual shapes, 2) the quantification of "similarity" relationships with-in collections of 3D models and 3) the efficient packing of 2D Strips into rectangular areas. The paper concludes with a discussion of the possibilities and limitations of the approach.
AB - The ability to interpret and reason about shapes is a peculiarly human capability that has proven difficult to reproduce algorithmically. So despite the fact that geometric modeling technology has made significant advances in the representation, display and modification of shapes, there have only been incremental advances in geometric reasoning. For example, although today's CAD systems can confidently identify isolated cylindrical holes, they struggle with more ambiguous tasks such as the identification of partial symmetries or similarities in arbitrary geometries. Even well defined problems such as 2D shape nesting or 3D packing generally resist elegant solution and rely instead on brute force explorations of a subset of the many possible solutions. Identifying economic ways to solving such problems would result in significant productivity gains across a wide range of industrial applications. The authors hypothesize that Internet Crowdsourcing might provide a pragmatic way of removing many geometric reasoning bottlenecks.This paper reports the results of experiments conducted with Amazon's mTurk site and designed to determine the feasibility of using Internet Crowdsourcing to carry out geometric reasoning tasks as well as establish some benchmark data for the quality, speed and costs of using this approach.After describing the general architecture and terminology of the mTurk Crowdsourcing system, the paper details the implementation and results of the following three investigations; 1) the identification of "Canonical" viewpoints for individual shapes, 2) the quantification of "similarity" relationships with-in collections of 3D models and 3) the efficient packing of 2D Strips into rectangular areas. The paper concludes with a discussion of the possibilities and limitations of the approach.
KW - 2D strip packing
KW - 3D similarity
KW - canonical view
KW - crowdsourcing
KW - geometric reasoning
KW - mTurk
KW - micro-outsourcing
U2 - 10.1145/1629255.1629296
DO - 10.1145/1629255.1629296
M3 - Conference contribution book
SN - 9781605587110
SP - 313
EP - 318
BT - Proceedings of the 2009 ACM Symposium on Solid and Physical Modeling, San Francisco, California, USA
CY - New York, USA
ER -