20240087190.SYSTEM AND METHOD FOR SYNTHETIC DATA GENERATION USING DEAD LEAVES IMAGES simplified abstract (samsung electronics co., ltd.)
Contents
- 1 SYSTEM AND METHOD FOR SYNTHETIC DATA GENERATION USING DEAD LEAVES IMAGES
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SYSTEM AND METHOD FOR SYNTHETIC DATA GENERATION USING DEAD LEAVES IMAGES - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
SYSTEM AND METHOD FOR SYNTHETIC DATA GENERATION USING DEAD LEAVES IMAGES
Organization Name
Inventor(s)
Mingzhao Yu of State College PA (US)
Zeeshan Nadir of Allen TX (US)
Hamid R. Sheikh of Allen TX (US)
John W. Glotzbach of Allen TX (US)
SYSTEM AND METHOD FOR SYNTHETIC DATA GENERATION USING DEAD LEAVES IMAGES - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240087190 titled 'SYSTEM AND METHOD FOR SYNTHETIC DATA GENERATION USING DEAD LEAVES IMAGES
Simplified Explanation
The patent application describes a method for generating a dead leaf image from a blank image using an iterative process based on color distribution and variation in a raw image.
- Obtaining a raw image in a first image domain
- Determining color distribution and amount of variation in the raw image
- Using an iterative process to generate a dead leaf image from a blank image
- Adding multiple circles and sticks to the blank image until the dead leaf image is filled
- Blurring portions of the dead leaf image during at least one iteration
- Blending textures of the multiple circles based on color distribution and amount of variation in the raw image
Potential Applications
The technology could be applied in the fields of image editing, graphic design, and digital art creation.
Problems Solved
This technology solves the problem of efficiently generating realistic dead leaf images from scratch, which can be time-consuming and challenging using traditional methods.
Benefits
The method provides a systematic approach to creating dead leaf images with realistic textures and colors, saving time and effort for artists and designers.
Potential Commercial Applications
The technology could be used in software applications for image editing, digital painting, and virtual reality environments under the title "Innovative Dead Leaf Image Generation Method."
Possible Prior Art
One possible prior art could be the use of image processing algorithms to generate textures and patterns in digital art creation tools.
Unanswered Questions
How does this method compare to existing techniques for generating dead leaf images?
This article does not provide a direct comparison with existing techniques, leaving uncertainty about the specific advantages of this method over others.
What are the limitations or constraints of this method in generating dead leaf images?
The article does not address any potential limitations or constraints of the method, leaving room for further exploration of its practical applications and potential drawbacks.
Original Abstract Submitted
a method includes obtaining a raw image in a first image domain. the method also includes determining a color distribution and an amount of variation in the raw image. the method further includes using an iterative process to generate a dead leaf image from a blank image in the first image domain. the iterative process includes adding multiple circles and multiple sticks to the blank image until the dead leaf image is filled. the iterative process also includes blurring portions of the dead leaf image during at least one iteration of the iterative process. textures of the multiple circles are blended based on the color distribution and the amount of variation in the raw image.
