Marci Meingast

University of California, Berkeley

Papers

2

Total Citations

156

H-Index

2

About

Marci Meingast’s research lies at the intersection of computer vision, privacy, and robotics, with a focus on developing technologies that are both innovative and ethically responsible. Her most impactful work, “Respectful Cameras: Detecting Visual Markers in Real-Time to Address Privacy Concerns” (2009), has garnered 146 citations and introduced a pioneering framework for embedding privacy safeguards directly into camera systems. By enabling real-time detection of visual markers, Meingast’s approach allows devices to automatically obscure or restrict sensitive visual data, addressing growing concerns about surveillance and personal privacy in an increasingly camera-filled world. Earlier, she contributed to the field of aerial robotics and terrain modeling with “The Recursive Multi-Frame Planar Parallax Algorithm” (2006), a method that uses a single onboard camera to generate accurate dense elevation and appearance models of terrain. This work has applications in geographical information systems, robot path planning, and scientific surveying. Meingast’s dual focus on technical rigor and ethical design makes her a notable figure in shaping how computer vision systems can be built to respect human dignity while advancing autonomous capabilities.

Research Focus

Key Achievements

2
H-Index
2
Papers
156
Total Citations
78
Avg Citations/Paper
🏆 Most Cited Paper
Respectful Cameras: Detecting Visual Markers in Real-Time to Address Privacy Concerns
146 citations · 2009
📈 Most Prolific Year: 2009 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: University of California, Berkeley

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago