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Revision 28 (Anderson PHILLIP, 10/30/2025 01:59 PM) → Revision 29/33 (Anderson PHILLIP, 11/02/2025 04:24 AM)
h1. Multi‑Projector System !{width:2000px;height:200px}xyz.png! !{width:1300px;height:200px}xyz.png! p=. _Team G11 · Semester 2025_ h2. *Contents* * *[[About_our_project|Project Details]]* * *[[Group Members]]* * *[[UML Diagrams]]* * *[[Codes]]* * *[[Results]]* --- 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). --- 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. --- 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.