Tile-Based Terrain Generation Using Noise Band Sampling
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Solution Overview
Problem
Current systems for procedurally generating terrain maps in games are inefficient and require large amounts of data and computational resources, making it difficult to create complex and realistic terrains with smooth variations.
Innovation Solution
The method involves generating terrain maps on a tile-by-tile basis using a 2D noise map, dividing the noise map into bands corresponding to different terrain types, and sampling the noise map at a selected rate to assign terrain values to each tile, allowing for efficient computation and memory usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If terrain maps are generated using traditional procedural generation systems, then terrain complexity and realism can be achieved, but computational resources and data requirements increase significantly
Solution Approach 1:
The terrain map is divided into multiple tiles that can be generated and stored independently. Each tile represents a portion of the overall terrain and can be managed separately, reducing the memory footprint while maintaining overall terrain complexity and realism.
Solution Approach 2:
The patent extracts only the essential noise map data needed for terrain generation, storing minimal seed values and parameters rather than complete terrain datasets. This allows regeneration of full terrain details from compact stored information.
2Manufacturing precision
If traditional procedural generation systems are used to create complex terrains, then realistic terrain features can be produced, but computational overhead increases
Solution Approach 1:
The noise map is pre-generated and stored in a compressed format with key parameters. During gameplay or terrain rendering, the system retrieves and applies these pre-computed values rather than performing complex procedural generation in real-time, reducing computational overhead while maintaining terrain realism.
Solution Approach 2:
The patent uses noise maps as a compact representation that can be copied and reused to generate multiple terrain variations. Instead of storing multiple complete terrain datasets, the system stores noise map data that can be regenerated into different terrain configurations.
3Productivity
If tile-based terrain maps are assembled to create large worlds, then terrain generation efficiency improves, but loss of full-scale details occurs
Solution Approach 1:
The patent transitions from storing complete high-resolution terrain data to storing compact noise map representations. This dimensional change in data representation allows efficient tile-based generation while preserving the ability to reconstruct full-scale terrain details through the noise function.
Solution Approach 2:
The system changes the parameters of the noise map (such as scale, amplitude, and frequency) to generate different terrain features across tiles. By modifying noise parameters rather than storing complete terrain details, the system maintains generation efficiency while preserving access to full-scale terrain information.
4Manufacturing precision
If complete terrain maps are loaded into memory for continuous rendering, then rendering quality is maintained, but memory requirements increase
Solution Approach 1:
The terrain map is segmented into tiles that can be loaded and unloaded independently. Only the currently visible tiles and their immediate neighbors are kept in active memory, maintaining rendering quality for visible areas while minimizing overall memory usage through selective loading.
Data Source
AI summary
Systems and techniques for generating an artificial terrain map can select a plurality of component terrains for each of several terrain types. Values of a selection noise map ranging between a lower bound and an upper bound can be computed on a tile-by-tile basis. One or more noise bands within the range of selection-noise-map values can correspond to each terrain type. The noise map can be sampled on a tile-by-tile basis to determine a tile value for each tile. Each respective tile can be assigned to the noise band in which the tile value falls. A terrain value can be assigned to each respective tile in the selection noise map based on the noise band assigned to the respective tile. Generated maps in machine-readable form can be converted to a human-perceivable form, and/or to a modulated signal form conveyed over a communication connection.