Apple inc. (20240267503). Stereoscopic Foveated Image Generation simplified abstract
Contents
Stereoscopic Foveated Image Generation
Organization Name
Inventor(s)
Yashas Rai Kurlethimar of San Jose CA (US)
Seyedkoosha Mirhosseini of Santa Clara CA (US)
Stereoscopic Foveated Image Generation - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240267503 titled 'Stereoscopic Foveated Image Generation
Simplified Explanation: The patent application describes a method for generating images using a device with processors and memory. It involves creating resolution functions based on formulas with different sets of values, generating images based on content and resolution functions, and ensuring the resolution meets specific constraints.
Key Features and Innovation:
- Method for generating images based on resolution functions and content.
- Ability to adjust resolution functions to meet specific constraints.
- Utilization of formulas with variable sets of values for image generation.
Potential Applications: This technology could be applied in various fields such as:
- Graphic design
- Medical imaging
- Satellite imaging
- Virtual reality
Problems Solved:
- Ensuring images meet specific resolution constraints.
- Enhancing image quality based on resolution functions.
- Providing flexibility in adjusting image resolution.
Benefits:
- Improved image quality.
- Customizable resolution functions.
- Enhanced visual output.
Commercial Applications: The technology could be utilized in industries such as:
- Advertising
- Entertainment
- Healthcare
- Gaming
Prior Art: Prior art related to this technology may include research on image resolution optimization, formula-based image generation, and image processing techniques.
Frequently Updated Research: Researchers may be exploring advancements in resolution function optimization, image generation algorithms, and applications of formula-based image processing.
Questions about Image Generation Technology: 1. How does this technology compare to traditional image generation methods? 2. What are the potential limitations of using resolution functions for image generation?
Original Abstract Submitted
in one implementation, a method of generating an image is performed by a device including one or more processors and non-transitory memory. the method includes generating a first resolution function based on a formula with a set of variables having a first set of values. the method includes generating a first image based on first content and the first resolution function. the method includes detecting a resolution constraint. the method includes generating a second resolution function based on the formula with the set of variables having a second set of values, wherein the second resolution function has a summation value that satisfies the resolution constraint. the method includes generating a second image based on second content and the second resolution function.
