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Related Experiment Video

Updated: Aug 30, 2025

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

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Published on: December 3, 2013

Content-Aware Brightness Solving and Error Mitigation in Large-Scale Multi-Projection Mapping.

Philipp Kurth, Markus Leuschner, Marc Stamminger

IEEE Transactions on Visualization and Computer Graphics

|September 1, 2022

Summary

This summary is machine-generated.

Calibration errors in projection mapping cause visual issues. This study classifies these errors and introduces a novel content-aware brightness solver to fix them, improving results for various setups.

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Area of Science:

Computer Graphics
Computer Vision

Background:

Projection mapping systems, especially those using inexpensive hardware, are prone to calibration errors.
These errors result in significant visual artifacts, compromising the quality of projected content.

Purpose of the Study:

To classify common calibration errors in projection mapping.
To introduce a novel content-aware brightness solver designed to mitigate these artifacts.
To optimize the solver for high GPU performance and low latency in networked setups.

Main Methods:

Classification of common projection mapping calibration errors and their resulting visual artifacts.
Development of a content-aware brightness solver algorithm.
Implementation and testing on single and networked projection mapping systems.

Main Results:

A systematic classification of projection mapping calibration errors.
The first content-aware brightness solver tailored for high GPU performance.
Effective mitigation of common calibration artifacts with minimal latency.

Conclusions:

The proposed content-aware brightness solver successfully addresses common calibration errors in projection mapping.
The method offers a practical solution for enhancing visual quality in diverse projection mapping applications.
The solver's efficiency and low latency make it suitable for real-time and networked systems.