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About This Project


This interactive prototype showcases exploratory research in uncertainty-based edge detection fusion for game graphics. Developed as part of exploring potential thesis directions at Hochschule Darmstadt, this Unity-based application demonstrates how multiple edge detection algorithms can be intelligently combined using Dempster-Shafer Theory of Evidence.

Multiple Edge Detection Methods:

  • Sobel Operator - Classic gradient-based detection
  • Prewitt Detector - Alternative gradient approach with equal weighting
  • Laplacian Method - Second-derivative edge detection for fine details
  • Geometric Detection - Modern approach using surface normals, depth, and color information
  • DST Fusion - Novel combination of all methods with uncertainty modeling

Interactive Controls:

  • Switch between different edge detection algorithms in real-time
  • Adjust sensitivity thresholds and parameters
  • Modify confidence levels for the fusion system

Research Context: Potential thesis directions exploring robust outline generation for modern game development

Built with: Unity Engine 6, Universal Render Pipeline (URP), Custom Shader Graph implementations

Academic Institution: Hochschule Darmstadt - Animation and Games Program

Note: This is a research prototype demonstrating academic concepts. Some implementation details are adapted for Unity's shader system limitations.

Published 12 hours ago
StatusPrototype
CategoryOther
PlatformsWindows
AuthorTaskInGames
TagsUnity

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Click download now to get access to the following files:

Edge Detection Fusion Demo.rar 31 MB

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