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Revision 10 (STOLBOVOY Dennis Victor, 12/25/2025 02:07 PM) → Revision 11/12 (STOLBOVOY Dennis Victor, 12/25/2025 02:07 PM)
h1. Multi-Projector System
!{width:2000px;height:400px}mop.png!
p=. _Team G22 · Semester 2025_
h2. *Contents*
* *[[About_our_Project|Project *[[Project_Details|Project Details]]*
* *[[Group Members]]*
* *[[UML Diagrams]]*
* *[[Code]]*
* *[[Results]]*
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h2. Project Overview
*Issue:* When two projectors cast images onto the same flat screen, the overlapping portion becomes brighter than the surrounding area, causing uneven illumination.
*Method:* Identify where the projections intersect and generate smoothly varying alpha masks so that each projector’s contribution transitions gradually across the shared zone.
*Output:* A lightweight, reproducible prototype using Python and OpenCV that demonstrates the blending behavior on static images.
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h2. Objectives
* Clarify the problem and choose an achievable strategy before starting development.
* Build an alpha-blending workflow and refine it until the overlap becomes visually uniform from a standard viewing distance.
* Test the approach using a controlled set of images and videos, documenting parameters and results to ensure the experiment can be repeated.
*Success metric:* The blended region should show no noticeable edge, brightness jumps, or other distortion.
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h2. Scope & Operating Assumptions
* *System setup:* Two projectors aligned toward a flat projection surface, with their optical axes roughly perpendicular to the screen.
* *Content type:* Initial work focuses on still images, with possible extension to video later.
* *Overlap shape:* Treated as a roughly rectangular band where the blending weights decrease linearly from one projector to the other.
* *Calibration approach:* Prioritize simple, consistent procedures, introducing further correction only if visible imperfections remain.