Style Transfer via Projector Beam for Recognition Areas
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Solution Overview
Problem
Current Stylus Transfer technology is limited in applying painting styles to specific photos or images, failing to capture and reflect the style of real objects or recognition areas effectively.
Innovation Solution
A system and method utilizing a deep learning algorithm-based guide line to transfer a painting style to a recognition area, applying the style through a projector beam to both the background and objects within the area, allowing for equal or varying output sizes, and selectively applying styles from real objects or images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If Stylus Transfer technology applies painting styles to specific photos or images, then the style transfer can be achieved on digital images, but it fails to capture and reflect the style of real objects or recognition areas
Solution Approach 1:
The patent introduces a projector as an intermediary device between the digital style transfer process and real objects. The projector projects the style-transferred image onto the real recognition area, enabling the style to be applied to physical objects rather than just digital images. This intermediary approach bridges the gap between digital processing and physical application.
Solution Approach 2:
The patent captures an image of the real recognition area, applies the painting style to this captured image through deep learning algorithms, and then projects the styled image back onto the real object. This copying process allows the style to be transferred from digital domain back to the physical domain with high fidelity.
2Area of stationary object
If the guide line is applied to both background and objects in the recognition area, then the style transfer covers the entire area, but the complexity of applying different styles to different regions increases
Solution Approach 1:
The patent segments the recognition area into different regions (background and objects) and applies the guide line differently to each segment. The guide line extraction process identifies distinct regions and applies appropriate styling to each, allowing comprehensive coverage while managing complexity through region-based processing.
Solution Approach 2:
The patent applies different styling treatments to different local regions within the recognition area. The guide line is selectively applied to objects versus background based on their visual characteristics and importance, ensuring that each region receives the appropriate level and type of style transfer treatment.
3Manufacturing precision
If the output area through the projector beam and the recognition area are set to have equal size, then the style transfer is uniform, but the flexibility to accommodate different size requirements is reduced
Solution Approach 1:
The patent makes the size relationship between the projected output area and the recognition area dynamic rather than fixed. The system can adaptively adjust the projection size to match either equal-size configurations for uniform style transfer or different-size configurations for flexible accommodation of various requirements, allowing the same system to serve multiple应用场景.
Data Source
AI summary
A system, a method, and a computer program for transferring a system for a recognition area are provided. The range of an application object including a specific style is expanded from an image to a style of a real object or a style of a specific area included in a photo. In addition, the recognition area limited to a confined photo space is expanded to a real object and a background by using a projector beam. In addition, more various styles are mixed and applied to a painting style image, which is output, or an original image.