ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE (20240212263). METHOD OF SELECTING 2D INPUT IMAGE, IMAGE PROCESSING APPARATUS, AND IMAGE RECONSTRUCTION APPARATUS FOR 3D RECONSTRUCTION simplified abstract
METHOD OF SELECTING 2D INPUT IMAGE, IMAGE PROCESSING APPARATUS, AND IMAGE RECONSTRUCTION APPARATUS FOR 3D RECONSTRUCTION
Organization Name
ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE
Inventor(s)
Chang Joon Park of Daejeon (KR)
METHOD OF SELECTING 2D INPUT IMAGE, IMAGE PROCESSING APPARATUS, AND IMAGE RECONSTRUCTION APPARATUS FOR 3D RECONSTRUCTION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240212263 titled 'METHOD OF SELECTING 2D INPUT IMAGE, IMAGE PROCESSING APPARATUS, AND IMAGE RECONSTRUCTION APPARATUS FOR 3D RECONSTRUCTION
- Simplified Explanation:**
This patent application describes a method for selecting 2D images for 3D reconstruction by analyzing the geometric structure of a camera and prioritizing images based on tie points.
- Key Features and Innovation:**
- Receiving 2D images captured from different positions or directions.
- Estimating the camera's geometric structure using feature points and bundle adjustment.
- Determining priorities for 2D images based on tie points used in the process.
- Selecting final 2D images for 3D reconstruction based on priorities.
- Potential Applications:**
This technology can be used in various fields such as virtual reality, augmented reality, 3D modeling, and computer vision applications.
- Problems Solved:**
The method addresses the challenge of selecting the most suitable 2D images for accurate and efficient 3D reconstruction.
- Benefits:**
- Improved accuracy in 3D reconstruction.
- Enhanced efficiency in image selection process.
- Better quality of reconstructed 3D models.
- Commercial Applications:**
"Optimized Image Selection Method for 3D Reconstruction" can be utilized in industries like gaming, architecture, medical imaging, and entertainment for creating realistic 3D models.
- Questions about Image Selection for 3D Reconstruction:**
1. How does the method prioritize 2D images for 3D reconstruction? 2. What are the potential challenges in implementing this technology in real-world applications?
- Frequently Updated Research:**
Researchers are constantly exploring new algorithms and techniques to enhance the accuracy and speed of 3D reconstruction from 2D images. Stay updated on the latest advancements in this field for improved results.
Original Abstract Submitted
provided is a method of selecting a two dimension (2d) image for three dimension (3d) reconstruction, the method including: receiving, by an image processing apparatus, 2d images captured at different positions or in different directions; estimating, by the image processing apparatus, a geometric structure of a camera based on feature points detected from the 2d images, and optimizing the geometric structure of the camera using a bundle adjustment (ba) technique; determining, by the image processing apparatus, a priority for each of the 2d images based on a number of tie points used in the ba process; and selecting, by the image processing apparatus, final 2d images to be used for 3d reconstruction based on the priorities of the 2d images.
