Learning to Assemble Geometric Shapes
- Title
- Learning to Assemble Geometric Shapes
- Authors
- Lee, Jinhwi; Kim, Jungtaek; Chung, Hyunsoo; 박재식; 조민수
- Date Issued
- 2022-07-23
- Publisher
- International Joint Conferences on Artificial Intelligence
- Abstract
- Assembling parts into an object is a combinatorial problem that arises in a variety of contexts in the real world and involves numerous applications in science and engineering. Previous related work tackles limited cases with identical unit parts or jigsaw-style parts of textured shapes, which greatly mitigate combinatorial challenges of the problem. In this work, we introduce the more challenging problem of shape assembly, which involves textureless fragments of arbitrary shapes with indistinctive junctions, and then propose a learning-based approach to solving it. We demonstrate the effectiveness on shape assembly tasks with various scenarios, including the ones with abnormal fragments (e.g., missing and distorted), the different number of fragments, and different rotation discretization.
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/116839
- Article Type
- Conference
- Citation
- 31st International Joint Conference on Artificial Intelligence, IJCAI 2022, page. 1046 - 1052, 2022-07-23
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