Google llc (20240161538). Perspective Distortion Correction on Faces simplified abstract
Contents
- 1 Perspective Distortion Correction on Faces
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 Perspective Distortion Correction on Faces - 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
Perspective Distortion Correction on Faces
Organization Name
Inventor(s)
Yichang Shih of Cupertino CA (US)
Chia-Kai Liang of San Jose CA (US)
Perspective Distortion Correction on Faces - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240161538 titled 'Perspective Distortion Correction on Faces
Simplified Explanation
The patent application describes apparatus and methods for image processing, specifically focusing on correcting geometric distortions in images captured by a camera. The computing device determines a warping mesh for the image, optimizing it based on costs associated with face-related and edge-related transformations. The optimized mesh is then used to modify the image, correcting any distortions present.
- Computing device determines a warping mesh for an image
- Cost function is determined based on face-related and edge-related transformations
- Optimized mesh is calculated to correct geometric distortions in the image
- First image area is modified based on the optimized mesh
Potential Applications
This technology could be applied in various fields such as photography, video editing, medical imaging, and augmented reality.
Problems Solved
This technology solves the problem of correcting geometric distortions in images, ensuring accurate representation of the original scene.
Benefits
The benefits of this technology include improved image quality, enhanced visual appeal, and more accurate image processing.
Potential Commercial Applications
Potential commercial applications of this technology include image editing software, camera applications, medical imaging software, and virtual reality applications.
Possible Prior Art
One possible prior art for this technology could be existing image processing algorithms used for correcting geometric distortions in images.
The specific face-related transformations considered in the cost function include correcting geometric distortions in the first image area to ensure accurate representation.
How does the computing device optimize the mesh based on the cost function?
The computing device optimizes the mesh by minimizing the costs associated with face-related and edge-related transformations, ensuring the most accurate correction of geometric distortions in the image.
Original Abstract Submitted
apparatus and methods related to image processing are provided. a computing device can determine a first image area of an image, such as an image captured by a camera. the computing device can determine a warping mesh for the image with a first portion of the warping mesh associated with the first image area. the computing device can determine a cost function for the warping mesh by: determining first costs associated with the first portion of the warping mesh that include costs associated with face-related transformations of the first image area to correct geometric distortions, and determining second costs associated with the warping mesh that include costs of edge-related transformations for preserving straightness of edges of the image. the computing device can determine an optimized mesh based on optimizing the cost function. the computing device can modify the first image area based on the optimized mesh.
