Optical System Optimization via Visual Attention Simulation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current optical systems, such as progressive and multifocal lenses, introduce geometric distortion and impair visual perception, affecting attentional performance in tasks like driving by altering image saliency and processing speed.
Innovation Solution
A method and system that integrate models of visual attention into optical system configuration to simulate and optimize attentional performance by adjusting parameters, such as lens design, to minimize distortion effects, using computational models of bottom-up visual attention and performance evaluation metrics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If progressive and multifocal lenses are used to provide wide field of view and variable optical power, then the clear view area is improved, but geometric distortion and visual perception impairment increase
Solution Approach 1:
The patent applies parameter changes by systematically varying lens design parameters (surface curvature, thickness distribution, refractive index profiles) to minimize distortion in the intermediate vision corridor while maintaining the progressive addition power. The optimization process adjusts multiple parameters simultaneously to achieve the desired balance between field of view and distortion reduction.
2Adaptability or versatility
If optical systems introduce distortion to achieve variable optical power, then multifocal functionality is improved, but attentional performance deteriorates
Solution Approach 1:
The patent uses parameter changes to optimize lens characteristics that affect attentional performance. By adjusting optical parameters such as distortion distribution, magnification uniformity, and image displacement control, the system maintains multifocal functionality while minimizing negative impacts on visual attention and saliency detection.
Solution Approach 2:
The patent implements feedback through computational models of visual attention that evaluate the impact of optical distortions on attentional performance. These models provide feedback to the optimization process, allowing iterative refinement of lens parameters to achieve better attentional outcomes while maintaining multifocal capabilities.
3Measurement precision
If distortion is reduced in optical systems, then visual perception accuracy is improved, but device complexity increases
Solution Approach 1:
The patent applies parameter changes by optimizing existing lens design parameters through computational methods. Rather than introducing complex new optical elements, the solution modifies parameters of conventional progressive lens designs to achieve reduced distortion and improved visual perception accuracy.
Solution Approach 2:
The patent replaces complex mechanical optimization processes with computational models and algorithms. By using computer-based optimization and visual attention modeling, the system achieves distortion reduction without requiring complex manual trial-and-error optimization procedures.
Data Source
AI summary
A method of optimizing an optical system defined by at least one parameter, wherein the method includes steps of: a) determining, based on a first image without distortion, a second image with distortion introduced by the optical system, b) simulating human attention on the first image and the second image by using a computational model of visual attention, to obtain a simulated human attention on the both images, c) evaluating an attentional performance of the optical system based on the simulated human attention on both images, d) adjusting the at least one parameter of the optical system to improve the attentional performance.