# AmeyaWagh/3D\_object\_recognition

<https://repo.masters-masters.com/en/repos/AmeyaWagh/3D_object_recognition>

[Home](https://repo.masters-masters.com/en) › [AmeyaWagh](https://repo.masters-masters.com/en/owners/AmeyaWagh) › [3D\_object\_recognition](https://repo.masters-masters.com/en/repos/AmeyaWagh/3D_object_recognition)

AmeyaWagh/3D\_object\_recognition has 108 stars on GitHub. Its RepoMasters card: Prototype tier. recognize and localize an object in 3D Point Cloud scene using…

| Field | Value |
| --- | --- |
| Owner | [AmeyaWagh](https://repo.masters-masters.com/en/owners/AmeyaWagh) |
| Stars | 108 |
| Forks | 32 |
| Language | [C++](https://repo.masters-masters.com/en/languages/c-plus-plus) |
| License | MIT |
| Created | 2018 |
| Topics | pcl, ros, pointcloud, object-detection |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [AmeyaWagh/3D\_object\_recognition](https://github.com/AmeyaWagh/3D_object_recognition) |

## Repository

recognize and localize an object in 3D Point Cloud scene using VFH - SVMs based method and 3D-CNNs method

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.