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NAKAMURA Yukiya, 12/11/2025 04:10 PM

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h1. Multi-Projector System
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!{width:2000px;height:400px}mop.png!
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p=. _Team G11 ·  Semester 2025_
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h2. *Contents*
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* *[[About_our_project|Project Details]]*
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* *[[Group Member]]*
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* *[[UML Diagrams]]*
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* *[[Codes]]*
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* *[[Results]]*
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h2. Project Overview
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*Issue:* When two projectors cast images onto the same flat screen, the overlapping portion becomes brighter than the surrounding area, causing uneven illumination).
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*Method:* Identify where the projections intersect and generate smoothly varying alpha masks so that each projector’s contribution transitions gradually across the shared zone)
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*Output:* A lightweight, reproducible prototype using Python and OpenCV that demonstrates the blending behavior on static images).
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h2. Objectives
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* Clarify the problem and choose an achievable solution strategy before starting development.
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* Build an alpha-blending workflow and refine it until the overlap becomes visually uniform from a standard viewing distance.
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* Test the approach using a controlled set of images, documenting parameters and results to ensure the experiment can be repeated.
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*Success metric: the blended region should show no noticeable edge or brightness jump.
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h2. Scope & Operating Assumptions
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* *System setup:* two projectors aligned toward a flat projection surface, with their optical axes roughly perpendicular to the screen.
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* *Content type:* initial work focuses on still images, with possible extension to video later.
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* *Overlap shape:* treated as a roughly rectangular band where the blending weights decrease linearly from one projector to the other.
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* *Calibration approach:* prioritize simple, consistent procedures, introducing further correction only if visible imperfections remain.