18420243. Perspective Distortion Correction on Faces simplified abstract (Google LLC)
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 How does this technology compare to existing image warping techniques?
- 1.11 What are the computational requirements for implementing this technology?
- 1.12 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 18420243 titled 'Perspective Distortion Correction on Faces
Simplified Explanation
The patent application describes apparatus and methods related to image processing, specifically focusing on determining a warping mesh for an image to correct geometric distortions and preserve straightness of edges. The computing device optimizes the mesh based on a cost function and modifies the image accordingly.
- The computing device determines a first image area of an image, such as one captured by a camera.
- It then calculates a warping mesh for the image, with a portion of the mesh associated with the first image area.
- A cost function is determined for the warping mesh, considering costs associated with face-related transformations and edge-related transformations.
- An optimized mesh is determined by the computing device based on optimizing the cost function.
- The first image area is modified based on the optimized mesh.
Potential Applications
This technology could be applied in various fields such as:
- Image editing software
- Augmented reality applications
- Medical imaging for diagnostics
Problems Solved
This technology addresses the following issues:
- Geometric distortions in images
- Preserving straightness of edges in images
Benefits
The benefits of this technology include:
- Improved image quality
- Enhanced accuracy in image processing
- Efficient correction of distortions
Potential Commercial Applications
Potential commercial applications of this technology include:
- Photography software
- Medical imaging devices
- Virtual reality systems
Possible Prior Art
One possible prior art for this technology could be existing image processing algorithms used in software applications such as Photoshop or GIMP.
Unanswered Questions
How does this technology compare to existing image warping techniques?
This article does not provide a direct comparison with existing image warping techniques, leaving the reader to wonder about the specific advantages of this new approach.
What are the computational requirements for implementing this technology?
The article does not delve into the computational resources needed to implement this technology, leaving a gap in understanding the practicality of its application.
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.
