Polygon Mesh Camouflage Pattern Generation
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Solution Overview
Problem
Current camouflage patterns struggle to effectively disguise humans and objects from both human and animal perspectives due to differences in visual acuity and color perception, as they often rely on digitization or layering techniques that may not adequately address the fine detail visibility of predators or the broader spectrum seen by game animals.
Innovation Solution
A method that captures and manipulates images using active contours and functional minimization to create a 2D polygon mesh, averaging pixel colors and adjusting color depth and palette to simulate 3D depth, allowing for the creation of customizable camouflage patterns that can be repeated and applied to various media or objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional digitization or layering techniques are used to create camouflage patterns, then the pattern can be reproduced digitally, but the pattern fails to effectively disguise subjects from predators with high visual acuity or animals with different color perception
Solution Approach 1:
The patent applies local quality by creating camouflage patterns with varying polygon densities and color complexities in different regions. High-acuity predator zones receive finer detail and more color variation, while low-acuity zones use coarser patterns. This spatially varying pattern quality matches the spatial variation in predator visual acuity across different viewing distances and angles.
Solution Approach 2:
The system changes multiple parameters simultaneously including polygon size, color saturation, brightness, and pattern density to create optimized camouflage patterns. By adjusting these parameters based on target animal visual characteristics, the same base image can generate different camouflage variants effective against different predator types.
2Reliability
If high-detail patterns are used to fool predators with high visual acuity, then camouflage effectiveness improves for those predators, but the pattern complexity increases making it harder to reproduce and apply
Solution Approach 1:
The patent segments the camouflage pattern into discrete polygons of varying sizes and colors. This segmentation allows complex high-detail regions to be broken into manageable polygon units that can be efficiently stored and reproduced. The segmented structure maintains high complexity where needed while allowing simplification in other areas.
Solution Approach 2:
The system transitions from 2D raster images to 3D polygon mesh representations, adding a dimensional aspect that enables more efficient storage and manipulation. The polygon mesh structure allows complex patterns to be defined by vertex coordinates and color values rather than requiring full pixel-level data, reducing overall complexity.
3Reliability
If camouflage patterns are customized for specific terrains or environments, then effectiveness against specific predators improves, but the time and resources required to create multiple specialized patterns increase
Solution Approach 1:
The patent creates a universal camouflage generation system that can produce multiple specialized patterns from a single base image. By implementing terrain detection and predator identification algorithms, the same system adapts to generate optimized patterns for different environments and predator types, eliminating the need for separate manual design processes for each scenario.
Solution Approach 2:
The system performs preliminary analysis of the target environment and predator characteristics before generating the camouflage pattern. By pre-processing terrain data and predator visual parameters, the system can quickly generate optimized patterns without requiring time-consuming manual adjustment, as the optimization criteria are established in advance.
Data Source
AI summary
A technique for developing camouflage patterns is provided. The technique involves simulating a desired location's real world 3-dimensional depth and color by producing a 2-dimensional polygon mesh pattern derived from digital images of those locations. The generated pattern many then be reproduced in physical forms or in electronic or digital representations.