Virtual Eyeglass Lens Visual Field Simulation Using Face Detection
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Solution Overview
Problem
Existing methods for generating images of the visual field through virtual eyeglass lenses lack a simple structure that provides a realistic simulation of the experience, and existing eyeglass lens comparison systems are complex and inefficient.
Innovation Solution
An image capturing device comprising an image capturing unit, display unit, and information processing unit that calculates eyeglass lens parameters and generates a visual field image based on eyeglass lens shape data, allowing for realistic simulation of the visual field through virtual eyeglass lenses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a customer visits multiple optical shops to compare eyeglass frames and obtain price quotes, then the customer can make a more informed decision, but the customer spends excessive time and effort traveling between shops
Solution Approach 1:
The patent creates a virtual copy of the optical shop environment through a terminal device that displays frame images, pricing information, and allows virtual try-on functionality. This copying principle enables customers to access comprehensive shop information remotely without physical travel, resolving the contradiction between information completeness and time expenditure.
Solution Approach 2:
The terminal device acts as an intermediary between the customer and multiple optical shops, aggregating frame data, pricing, and availability information from various sources into a single interface. This intermediary function allows customers to compare options across multiple shops without visiting each location, eliminating travel time while maintaining information accuracy.
2Reliability
If a customer tries on many different eyeglass frames to find the best fit and style, then the customer can ensure satisfaction, but the process becomes time-consuming and cumbersome
Solution Approach 1:
The system creates virtual copies of eyeglass frames through digital images and augmented reality overlays that allow customers to visualize how frames look on their face without physically trying them on. This virtual copying maintains the reliability of frame selection by providing accurate visual representation while eliminating the time required for physical trial-and-error.
Solution Approach 2:
The system performs preliminary frame selection and visualization before the customer commits to trying on physical frames. By using facial recognition and virtual try-on technology to pre-screen suitable frames based on face shape, style preferences, and measurements, the system narrows down options in advance, reducing the number of physical trials needed and saving customer time.
3Adaptability or versatility
If an optical shop displays a large variety of eyeglass frames in the store, then customers have more choices, but the store requires more space and inventory management
Solution Approach 1:
The patent implements a digital catalog system that stores and displays high-resolution images, specifications, and availability information for extensive frame collections. This virtual copying of frame inventories allows the shop to offer hundreds or thousands of frame styles without occupying physical display space, maintaining high adaptability and customer choice while minimizing the area required for stationary displays.
4Ease of operation
If customers can easily compare prices and frame options online, then customer convenience increases, but the optical shop loses control over pricing strategy and customer interaction
Solution Approach 1:
The system incorporates feedback mechanisms where customer interactions with virtual frame displays, pricing inquiries, and selection preferences are tracked and communicated back to the optical shop staff. This feedback loop maintains shop control over pricing strategy and customer interaction quality while still providing online convenience, as staff can respond to customer needs and adjust pricing strategies based on real-time data.
Data Source
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AI summary
An image generating device includes: a feature detection unit that detects features in a captured image obtained by capturing an image of a subject looking at a display device, a parameter calculation unit that calculates a distance between the subject and the display device and an orientation of a face of the subject based upon positions of the features having been detected and/or a distance between the features having been detected, an image generation unit that generates an image of a virtual visual field, which is to be viewed by the subject looking at the display device through an eyeglass lens, based upon the distance between the subject and the display device and the orientation of the face; and a display control unit that causes the display device to display the image of the virtual visual field.