G11-2025-Final Project

h1. Multi‑Projector System

p=. _Team G11 ·  Semester 2025_

h2. *Contents*

* *[[Group Members]]*

* *[[About our project]]*

* *[[UML Diagrams]]*

* *[[Class Activity]]*

* *[[Codes]]*

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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.