# Robust principal component analysis for computer vision

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/robust-principal-component-analysis-for-computer-vision/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Fernando De la Torre,M.J. Black |
| Citations | 392 |
| DOI | 10.1109/iccv.2001.937541 |
| Fields | Computer Science,Engineering,Mathematics |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2140151376 |
| Type | conference-paper |
| Year | 2002 |

## Paper authors

- [Fernando De la Torre](https://scholariq.org/researchers/fernando-de-la-torre/)

## Paper primary topic

- [Advanced Statistical Methods and Models](https://scholariq.org/topics/advanced-statistical-methods-and-models/)

## Paper topics

- [Advanced Statistical Methods and Models](https://scholariq.org/topics/advanced-statistical-methods-and-models/)
- [Structural Health Monitoring Techniques](https://scholariq.org/topics/structural-health-monitoring-techniques/)
- [Face and Expression Recognition](https://scholariq.org/topics/face-and-expression-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.