| dc.contributor |
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
|
| dc.contributor |
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
|
| dc.contributor |
Matusik, Wojciech |
|
| dc.creator |
Luo, Linjie |
|
| dc.creator |
Baran, Ilya |
|
| dc.creator |
Rusinkiewicz, Szymon |
|
| dc.creator |
Matusik, Wojciech |
|
| dc.date |
2014-09-26T14:36:01Z |
|
| dc.date |
2014-09-26T14:36:01Z |
|
| dc.date |
2012-11 |
|
| dc.date.accessioned |
2023-03-01T18:04:33Z |
|
| dc.date.available |
2023-03-01T18:04:33Z |
|
| dc.identifier |
07300301 |
|
| dc.identifier |
http://hdl.handle.net/1721.1/90389 |
|
| dc.identifier |
Linjie Luo, Ilya Baran, Szymon Rusinkiewicz, and Wojciech Matusik. 2012. Chopper: partitioning models into 3D-printable parts. ACM Trans. Graph. 31, 6, Article 129 (November 2012), 9 pages. |
|
| dc.identifier |
https://orcid.org/0000-0003-0212-5643 |
|
| dc.identifier.uri |
http://localhost:8080/xmlui/handle/CUHPOERS/278650 |
|
| dc.description |
3D printing technology is rapidly maturing and becoming ubiquitous. One of the remaining obstacles to wide-scale adoption is that the object to be printed must fit into the working volume of the 3D printer. We propose a framework, called Chopper, to decompose a large 3D object into smaller parts so that each part fits into the printing volume. These parts can then be assembled to form the original object. We formulate a number of desirable criteria for the partition, including assemblability, having few components, unobtrusiveness of the seams, and structural soundness. Chopper optimizes these criteria and generates a partition either automatically or with user guidance. Our prototype outputs the final decomposed parts with customized connectors on the interfaces. We demonstrate the effectiveness of Chopper on a variety of non-trivial real-world objects. |
|
| dc.description |
National Science Foundation (U.S.) (Grant CCF-1012147) |
|
| dc.description |
National Science Foundation (U.S.) (Grant IIS-1116296) |
|
| dc.description |
Intel Corporation (Science and Technology Center for Visual Computing) |
|
| dc.format |
application/pdf |
|
| dc.language |
en_US |
|
| dc.publisher |
Association for Computing Machinery (ACM) |
|
| dc.relation |
http://dx.doi.org/10.1145/2366145.2366148 |
|
| dc.relation |
ACM Transactions on Graphics |
|
| dc.rights |
Creative Commons Attribution-Noncommercial-Share Alike |
|
| dc.rights |
http://creativecommons.org/licenses/by-nc-sa/4.0/ |
|
| dc.source |
Other univ. web domain |
|
| dc.title |
Chopper: Partitioning models into 3D-printable parts |
|
| dc.type |
Article |
|
| dc.type |
http://purl.org/eprint/type/ConferencePaper |
|