Master Wave Model Segmentation for Ocean Simulation
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Solution Overview
Problem
Current computer graphics systems face challenges in efficiently simulating the complex dynamic phenomena of large bodies of water, such as oceans, as existing methods either consume excessive computational resources or compromise on visual quality when attempting to capture a full spectrum of wave frequencies.
Innovation Solution
The approach involves deconstructing a master wave model into multiple layer models, each representing a range of wave frequencies, and reconstructing these to form an optimized wave model that reduces computational burden while maintaining visual detail, using techniques like Fast Fourier Transform and inverse FFT to determine wave height values efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a broad spectrum of ocean frequencies is simulated, then the visual effect is satisfactory, but the simulation consumes too many computing resources
Solution Approach 1:
The patent segments the full wave spectrum into multiple frequency bands (low, medium, high frequencies) and processes each band separately through different computational methods. This allows the system to maintain broad spectral coverage for visual quality while reducing overall computational burden by applying optimized algorithms to each frequency segment rather than processing the entire spectrum uniformly.
Solution Approach 2:
The patent applies different computational approaches to different frequency ranges based on their visual importance and computational cost. High-frequency components that provide fine surface detail are processed with methods optimized for visual quality, while lower-frequency components are handled with more efficient algorithms, achieving local optimization of computational resources across the spectrum.
2Productivity
If a narrow band of frequencies is simulated, then the surface is computed quickly and efficiently, but the results are visually undesirable
Solution Approach 1:
The patent divides the frequency spectrum into multiple bands and processes each segment independently with appropriate computational methods. This segmentation enables the system to compute surface details efficiently for each frequency range while combining the results to achieve visually satisfactory overall quality, avoiding the need to choose between narrow band efficiency and broad band visual quality.
Solution Approach 2:
The patent computes wave surface information for multiple frequency bands simultaneously, including some higher frequencies that may not be strictly necessary for the minimum visual quality. This partial excessive action allows the system to achieve both computational efficiency through optimized processing of essential frequency bands and visual satisfaction through inclusion of additional fine-detail frequencies.
3Measurement precision
If high resolution is used to capture complex wave shapes, then the simulation accuracy improves, but the computational burden increases
Solution Approach 1:
The patent segments the wave surface into multiple frequency components and processes each segment with appropriate resolution requirements. This allows high accuracy in capturing complex wave shapes through detailed representation of essential frequency components while reducing overall computational complexity by avoiding unnecessary high-resolution processing of all frequency bands simultaneously.
Solution Approach 2:
The patent dynamically adjusts computational parameters such as resolution and processing depth based on the frequency content and visual importance of each wave component. This parameter adaptation enables the system to maintain high simulation accuracy for visually critical frequency ranges while reducing computational complexity for less critical components.
Data Source
AI summary
The surface of a body of water can be animated by deconstructing a master wave model into several layer models and then reconstructing the layer models to form an optimized wave model. A wave model is obtained, which describes the wave surfaces in a body of water. The wave model is comprised of a range of wave model frequencies over a given area. A primary layer model, secondary and tertiary layer models are constructed based on portions of the wave model frequencies. An optimized wave model is constructed by combining the primary, secondary, and tertiary layer models. A wave surface point location is determined within the given area. A wave height value is computed for the wave surface point location using the optimized wave model. The wave height value that is associated with the surface point location is stored.