A novel no-sensors 3D model reconstruction from monocular video frames for a dynamic environment.

ABSTRACT: Occlusion awareness is one of the most challenging problems in several fields such as multimedia, remote sensing, computer vision, and computer graphics. Realistic interaction applications are suffering from dealing with occlusion and collision problems in a dynamic environment. Creating dense 3D reconstruction methods is the best solution to solve this issue. However, these methods have poor performance in practical applications due to the absence of accurate depth, camera pose, and object motion.This paper proposes a new framework that builds a full 3D model reconstruction that overcomes the occlusion problem in a complex dynamic scene without using sensors' data. Popular devices such as a monocular camera are used to generate a suitable model for video streaming applications. The main o

SUBMITTER: Fathy GM 

PROVIDER: S-EPMC8157153 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature