التفاصيل البيبلوغرافية
| العنوان: |
3D-COCO: extension of MS-COCO dataset for image detection and 3D reconstruction modules |
| المؤلفون: |
Bideaux, Maxence, Phe, Alice, Chaouch, Mohamed, Luvison, Bertrand, Pham, Quoc-Cuong |
| سنة النشر: |
2024 |
| المجموعة: |
Computer Science |
| مصطلحات موضوعية: |
Computer Science - Computer Vision and Pattern Recognition |
| الوصف: |
We introduce 3D-COCO, an extension of the original MS-COCO dataset providing 3D models and 2D-3D alignment annotations. 3D-COCO was designed to achieve computer vision tasks such as 3D reconstruction or image detection configurable with textual, 2D image, and 3D CAD model queries. We complete the existing MS-COCO dataset with 28K 3D models collected on ShapeNet and Objaverse. By using an IoU-based method, we match each MS-COCO annotation with the best 3D models to provide a 2D-3D alignment. The open-source nature of 3D-COCO is a premiere that should pave the way for new research on 3D-related topics. The dataset and its source codes is available at https://kalisteo.cea.fr/index.php/coco3d-object-detection-and-reconstruction/ |
| نوع الوثيقة: |
Working Paper |
| URL الوصول: |
http://arxiv.org/abs/2404.05641 |
| رقم الانضمام: |
edsarx.2404.05641 |
| قاعدة البيانات: |
arXiv |