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Revision 19 (Anderson PHILLIP, 10/30/2025 01:37 PM) → Revision 20/33 (Anderson PHILLIP, 10/30/2025 01:48 PM)
h1. Multi‑Projector System
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p=. _Team G11 · Semester 2025_
h2. *Contents*
* *[[About_our_project|Project Details]]*
* *[[Group Members]]*
* *[[UML Diagrams]]*
* *[[Codes]]*
* *[[Results]]*
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h2. Project Overview
*Problem:* Two projectors produce overlapping images on a planar screen, creating luminance non‑uniformity (the shared region appears brighter).
*Approach:* Detect the overlap and apply spatially smooth alpha‑blending masks whose weights vary linearly from 1 to 0 across the overlap band.
*Deliverable:* A minimal, reproducible still‑image prototype implemented in Python (OpenCV).
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h2. Objectives
* Define the problem and select a feasible solution path prior to implementation.
* Implement an alpha‑blending pipeline and iterate until seams are not perceptible at normal viewing distance.
* Validate the method with a small set of test images, recording inputs, parameters, and outcomes to ensure reproducibility.
*Success criterion:* no visible seam or luminance discontinuity in the overlap region.
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h2. Scope & Operating Assumptions
* *Configuration:* two projectors and a planar screen; projector optical axes nominally normal (perpendicular) to the screen.
* *Media:* still images for the initial phase (video may follow).
* *Overlap geometry:* approximately rectangular; blend weights vary linearly from 1 to 0 across the overlap.
* *Calibration philosophy:* favor simple, reproducible steps; apply additional calibration only if visible artifacts persist.