Improving Sculpting via Crowdsourcing
| dc.contributor.advisor | Gingold, Yotam | |
| dc.contributor.author | Sabol, Matthew K | |
| dc.creator | Sabol, Matthew K | |
| dc.date | 2014-05-02 | |
| dc.date.accessioned | 2014-10-08T18:32:41Z | |
| dc.date.available | 2014-10-08T18:32:41Z | |
| dc.date.issued | 2014-10-08 | |
| dc.description.abstract | Crowdsourcing and the wisdom of crowds [5] have established that a large number of low quality inputs can be reliably aggregated to yield a higher quality output. This thesis examines whether the wisdom of crowds can be extended to sculptures or three-dimensional models. To do so, we discuss the design of a 3D modeling tool requiring no training and make use of it to crowdsource the creation of hundreds of sculptures from nearly a thousand individuals. We introduce several techniques for aggregating low quality 3D models. Finally, we performed a perceptual study to evaluate the quality of input and aggregate models. We report our ndings related to additive versus subtractive modeling, automatic versus manual rotation, and our various aggregation techniques. | |
| dc.identifier.uri | https://hdl.handle.net/1920/9051 | |
| dc.language.iso | en | |
| dc.subject | Crowdsourcing | |
| dc.subject | Sculpting | |
| dc.subject | Creativity | |
| dc.subject | Computer graphics | |
| dc.title | Improving Sculpting via Crowdsourcing | |
| dc.type | Thesis | |
| thesis.degree.discipline | Computer Science | |
| thesis.degree.grantor | George Mason University | |
| thesis.degree.level | Master's | |
| thesis.degree.name | Master of Science in Computer Science |