التفاصيل البيبلوغرافية
| العنوان: |
Learning to Assemble Geometric Shapes |
| المؤلفون: |
Lee, Jinhwi, Kim, Jungtaek, Chung, Hyunsoo, 박재식, 조민수 |
| المساهمون: |
박재식, 조민수 |
| بيانات النشر: |
International Joint Conferences on Artificial Intelligence |
| سنة النشر: |
2022 |
| المجموعة: |
Pohang University of Science and Technology (POSTECH): Open Access System for Information Sharing (OASIS) |
| الوصف: |
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. ; 1 ; 1 |
| نوع الوثيقة: |
conference object |
| اللغة: |
English |
| Relation: |
31st International Joint Conference on Artificial Intelligence, IJCAI 2022; IJCAI International Joint Conference on Artificial Intelligence; https://oasis.postech.ac.kr/handle/2014.oak/116839; 66704; 31st International Joint Conference on Artificial Intelligence, IJCAI 2022, pp.1046 - 1052 |
| الاتاحة: |
https://oasis.postech.ac.kr/handle/2014.oak/116839 |
| رقم الانضمام: |
edsbas.6F66E2B8 |
| قاعدة البيانات: |
BASE |