Image Inpainting for 3D Reconstruction Based on the Known Region Boundaries

Hailong Yan, Wenqi Wu, Zhenghua Deng, Junjian Huang, Zhizhang Li and Luting Zhang
Additional contact information
Hailong Yan: College of Electronic and Information Engineering, Southwest University, Chongqing 400715, China
Wenqi Wu: College of Electronic and Information Engineering, Southwest University, Chongqing 400715, China
Zhenghua Deng: Science and Technology Department, Chongqing University of Education, Chongqing 400065, China
Junjian Huang: College of Electronic and Information Engineering, Southwest University, Chongqing 400715, China
Zhizhang Li: College of Electronic and Information Engineering, Southwest University, Chongqing 400715, China
Luting Zhang: People’s Procuratorate of Beijing Municipality, Beijing 100078, China

Mathematics, 2022, vol. 10, issue 15, 1-16

Abstract: Pointcloud is a collection of 3D object coordinate systems in 3D scene. Generally, point data in pointclouds represent the outer surface of an object. It is widely used in 3D reconstruction applications in various fields. When obtaining pointcloud data from RGB-D images, if part of the information in the RGB-D images is lost or damaged, the pointcloud data will be hollow or too sparse. Moreover, it is not conducive to the subsequent application of pointcloud data. Based on the boundary of the region to be repaired, we proposes to repair the damaged image and synthesize the complete pointcloud data after a series of preprocessing steps related to the image. Experiments show that the our method can effectively improve the restoration of the lost details of the pixel in the target area and that it will have the fuller pointcloud data after synthesizing the restored image.

Keywords: image inpainting; image processing; pointcloud (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2227-7390/10/15/2761/pdf (application/pdf)
https://www.mdpi.com/2227-7390/10/15/2761/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:10:y:2022:i:15:p:2761-:d:879694

Access Statistics for this article

Mathematics is currently edited by Ms. Emma He

More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().