# Richard Szeliski

> American researcher and university professor

**Wikidata**: [Q93380549](https://www.wikidata.org/wiki/Q93380549)  
**Source**: https://4ort.xyz/entity/richard-szeliski

## Summary  
Richard Szeliski is an American computer scientist renowned for his contributions to computational photography and computer vision. He has held research positions at Google, Meta, and Microsoft Research and is an ACM Fellow, IEEE Fellow, and member of the National Academy of Engineering.

## Biography  
- **Born:** 1958‑03‑05  
- **Nationality:** United States  
- **Education:** Ph.D. in Computer Science, Carnegie Mellon University (1988) – doctoral advisor: Takeo Kanade  
- **Known for:** Foundational research in computational photography and computer vision  
- **Employer(s):** Google (since 2022), Meta, Microsoft Research, Digital Equipment Corporation, University of Washington, Stanford University  
- **Field(s):** Computer vision, computational photography, image processing  

## Contributions  
Richard Szeliski’s research has shaped modern computational photography. His work on image‑based rendering, high‑dynamic‑range imaging, and multi‑view reconstruction has been widely cited and incorporated into both academic curricula and industry products. As a senior researcher at Microsoft Research, Google, and Meta, he led projects that bridged theory and practice, influencing the way cameras capture and process visual data. He mentored doctoral students such as Noah Snavely, who have continued to advance the field. Szeliski’s extensive publication record (Google Scholar ID 3_u1jHQAAAAJ) and his open‑access website (https://szeliski.org/) provide a valuable repository of algorithms, code, and tutorials that remain core references for researchers and engineers worldwide.

## FAQs  
### Q: What is Richard Szeliski best known for?  
A: He is best known for pioneering contributions to computational photography and computer vision, recognized by his ACM Fellowship citation “For contributions to computational photography.”  

### Q: Where does Richard Szeliski work?  
A: As of 2022, he is employed by Google and has also held research positions at Meta and Microsoft Research.  

### Q: Which major honors has he received?  
A: He is an ACM Fellow (2009), IEEE Fellow (2005), and was elected to the National Academy of Engineering in 2015.  

### Q: Who were his academic mentors and students?  
A: His doctoral advisor was Takeo Kanade, and he supervised doctoral student Noah Snavely.  

### Q: Does he maintain a public profile of his work?  
A: Yes, his personal website (https://szeliski.org/) and his Google Scholar profile list his publications, software, and teaching materials.  

## Why They Matter  
Szeliski’s research transformed how digital images are captured, combined, and rendered, enabling everyday technologies such as panoramic stitching, HDR photography, and 3D scene reconstruction. By translating complex algorithms into practical tools, he helped bridge the gap between academic theory and consumer‑grade imaging software. His mentorship cultivated a new generation of computer‑vision leaders, extending his influence beyond his own publications. The standards and techniques he developed are now embedded in camera pipelines and graphics applications worldwide; without his contributions, modern computational photography would be far less advanced and less accessible.  

## Notable For  
- ACM Fellow (2009) – “For contributions to computational photography.”  
- IEEE Fellow (2005).  
- Election to the National Academy of Engineering (2015).  
- Senior research roles at Google, Meta, and Microsoft Research.  
- Mentorship of prominent computer‑vision researchers, including Noah Snavely.  

## Body  

### Early Life and Education  
- Born on 5 March 1958 in the United States.  
- Completed a Ph.D. in Computer Science at Carnegie Mellon University in 1988 under the supervision of Takeo Kanade.  

### Academic Career  
- Held faculty and research positions at the University of Washington and Stanford University.  
- Affiliated with Digital Equipment Corporation early in his career, contributing to foundational work in image processing.  

### Industry Roles  
- Joined Microsoft Research, where he led projects on image‑based rendering and multi‑view geometry.  
- Became a senior researcher at Google in 2022, focusing on large‑scale computational photography systems.  
- Served as a researcher at Meta, applying computer‑vision techniques to social‑media imaging pipelines.  

### Research Contributions  
- Published extensively on topics such as image stitching, HDR imaging, and 3D reconstruction.  
- Developed algorithms that are now standard components in modern camera software.  
- Provided open‑source implementations and detailed tutorials on his personal website, fostering community adoption.  

### Awards and Honors  
- ACM Fellow (2009) for computational photography contributions.  
- IEEE Fellow (2005).  
- Member of the National Academy of Engineering (2015).  

### Mentorship and Legacy  
- Doctoral advisor to Noah Snavely, who has become a leading figure in photogrammetry and 3D reconstruction.  
- Continues to influence the field through teaching materials, public lectures, and an active online presence.  

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## References

1. IdRef
2. [Source](https://szeliski.org/)
3. [Source](https://www.acm.org/media-center/2009/january/acm-names-44-fellows-for-contributions-to-computing-and-it)
4. Mathematics Genealogy Project
5. [Source](https://viaf.org/viaf/data/viaf-20230206-links.txt.gz)
6. Virtual International Authority File
7. CiNii Research
8. Library of Congress Authorities
9. National Library of Israel Names and Subjects Authority File