# antimodular/Silhouette-Segmentation-Approaches

<https://repo.masters-masters.com/en/repos/antimodular/Silhouette-Segmentation-Approaches>

[Home](https://repo.masters-masters.com/en) › [antimodular](https://repo.masters-masters.com/en/owners/antimodular) › [Silhouette-Segmentation-Approaches](https://repo.masters-masters.com/en/repos/antimodular/Silhouette-Segmentation-Approaches)

antimodular/Silhouette-Segmentation-Approaches has 117 stars on GitHub. Its RepoMasters card: Prototype tier. The following is a practical comparison of…

| Field | Value |
| --- | --- |
| Owner | [antimodular](https://repo.masters-masters.com/en/owners/antimodular) |
| Stars | 117 |
| Forks | 5 |
| Language | No language |
| License | None |
| Created | 2019 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [antimodular/Silhouette-Segmentation-Approaches](https://github.com/antimodular/Silhouette-Segmentation-Approaches) |

## Repository

The following is a practical comparison of various techniques of segmenting silhouettes/the general foreground from the background. It is intended as cursory research to inform which approach we use for extracting silhouettes for future installations. We explored two approaches- using a depth camer…

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

## More repos by antimodular

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