PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
January 17, 2026Information Display0 citations

Beating the Curved Display Challenge with Projection

View Full Paper
AMAditi Majumder

Key Points

  • The central aim is to explore how AI and multi-camera systems can improve projection techniques.
  • Utilized multi-camera systems for enhanced visual capture
  • Employed AI-powered computer vision for real-time adjustments
  • Implemented pixel-level calibration for projector accuracy
  • Achieved improved clarity and fluidity in projections
  • Demonstrated more dynamic visual experiences with liquid light technology
  • Showcased potential to overcome limitations of traditional projections

Abstract

Abstract By using multi‐camera AI‐powered computer vision and pixel‐level calibration, “liquid light” transforms age‐old projection into a fluid medium.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Aditi Majumder (2026) studied this question.

synapsesocial.com/papers/696b2631d2a12237a93496d8https://doi.org/10.1002/msid.70022
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1A Scalable Distributed Paradigm for Multi-User Interaction with Tiled Rear Projection Display Walls2010 · 36 citations
  2. 2Ambient Light Tolerant Laser-Pen Based Interaction with Curved Multi-projector Displays2022 · 3 citations
  3. 3High-resolution lighting of 3D reliefs using a network of projectors and cameras2015 · 11 citations
  4. 4Color Seamlessness in Multi-Projector Displays Using Constrained Gamut Morphing2009 · 59 citations
  5. 5Scalable alignment of large-format multi-projector displays using camera homography trees2003 · 91 citations