# Image-Based 3D Object Reconstruction: State-of-the-Art and Trends in the Deep Learning Era

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/image-based-3d-object-reconstruction-state-of-the-art-and-trends-in-the-deep/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Xian-Feng Han,Hamid Laga,Mohammed Bennamoun |
| Citations | 434 |
| DOI | 10.1109/tpami.2019.2954885 |
| Fields | Computer Science,Engineering |
| Open Access | true |
| OA Status | green |
| OA URL | https://arxiv.org/pdf/1906.06543 |
| OpenAlex ID | https://openalex.org/W2990026901 |
| PMID | 31751229 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Hamid Laga](https://scholariq.org/researchers/hamid-laga/)

## Paper primary topic

- [3D Shape Modeling and Analysis](https://scholariq.org/topics/3d-shape-modeling-and-analysis/)

## Paper topics

- [3D Shape Modeling and Analysis](https://scholariq.org/topics/3d-shape-modeling-and-analysis/)
- [Advanced Vision and Imaging](https://scholariq.org/topics/advanced-vision-and-imaging/)
- [Human Pose and Action Recognition](https://scholariq.org/topics/human-pose-and-action-recognition/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.