A Survey of 3D Object Reconstruction Methods 3B Nesne Geriçatma Yöntemlerinin Incelemesi
30th Signal Processing and Communications Applications Conference, SIU 2022, Safranbolu, Türkiye, 15 - 18 Mayıs 2022, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Doi Numarası: 10.1109/siu55565.2022.9864922
- Basıldığı Şehir: Safranbolu
- Basıldığı Ülke: Türkiye
- Anahtar Kelimeler: 3D object reconstruction, 3D shape representations, computer vision, deep learning
- Boğaziçi Üniversitesi Adresli: Evet
Özet
In this work, we provide a state-of-the-art survey of deep learning-based single- and multi-view 3D object reconstruction methods. In a broad sense, 3D reconstruction methods take single or multiple 2D images to model shapes with different representations such as: voxels, meshes, point clouds and implicit functions. In this paper, the methods are grouped based on their shape representations and are presented in detail with their deep neural network architectures, supervision mechanisms and reconstruction accuracies on benchmark datasets.