18443936. METHOD AND APPARATUS FOR RECONSTRUCTING A THREE-DIMENSIONAL SHAPE BASED ON MULTIPLE LIGHT SOURCES simplified abstract (ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE)
Contents
METHOD AND APPARATUS FOR RECONSTRUCTING A THREE-DIMENSIONAL SHAPE BASED ON MULTIPLE LIGHT SOURCES
Organization Name
ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE
Inventor(s)
METHOD AND APPARATUS FOR RECONSTRUCTING A THREE-DIMENSIONAL SHAPE BASED ON MULTIPLE LIGHT SOURCES - A simplified explanation of the abstract
This abstract first appeared for US patent application 18443936 titled 'METHOD AND APPARATUS FOR RECONSTRUCTING A THREE-DIMENSIONAL SHAPE BASED ON MULTIPLE LIGHT SOURCES
Simplified Explanation: The patent application describes a method, device, and system for reconstructing a 3D shape using multiple light sources. This involves capturing images of an object under various lighting conditions, calculating scattering potential values, and determining a 3D refractive index distribution through artificial neural networks.
- Obtaining measured images of an object under different lighting conditions
- Defining a 3D grid within a reconstruction area
- Calculating scattering potential values within the grid
- Determining a 3D refractive index distribution using artificial neural networks
- Training the neural network model based on the variance between predicted and measured images
Key Features and Innovation:
- Utilization of multiple light sources for 3D shape restoration
- Calculation of scattering potential values for accurate reconstruction
- Implementation of artificial neural networks for determining refractive index distribution
Potential Applications:
- Medical imaging for accurate diagnosis
- Industrial quality control for precise measurements
- Archaeological research for detailed analysis of artifacts
Problems Solved:
- Inaccuracies in 3D shape reconstruction
- Lack of comprehensive data for refractive index determination
- Difficulty in capturing object details under different lighting conditions
Benefits:
- Enhanced accuracy in 3D shape restoration
- Improved understanding of object properties
- Efficient data processing for quick results
Commercial Applications: The technology can be applied in industries such as healthcare, manufacturing, and research for advanced imaging and analysis purposes, leading to improved productivity and quality control measures.
Prior Art: Readers can explore prior research on 3D shape reconstruction, light scattering analysis, and artificial neural networks in the field of imaging technology.
Frequently Updated Research: Stay updated on advancements in artificial intelligence, computational imaging, and material science for potential enhancements in 3D shape restoration techniques.
Questions about 3D Shape Restoration using Multiple Light Sources: 1. How does the use of multiple light sources improve the accuracy of 3D shape reconstruction? 2. What are the key challenges in training artificial neural networks for determining refractive index distributions?
Original Abstract Submitted
A device, method, and system for restoring a 3D shape based on multiple light sources are disclosed. A method performed by a device may include obtaining a set of measured images of a specimen by photographing the specimen under different lighting conditions; defining a first three-dimensional grid within a 3D reconstruction area including all or part of the specimen; obtaining a first set of coordinate values for calculating a scattering potential value within a first 3D grid or a frequency grid region corresponding to the first 3D grid; and obtaining a 3D refractive index distribution of the specimen based on the output data obtained through an artificial neural network model, and the artificial neural network model is trained based on differences between the set of predicted images and the set of the measured images.
