Monocular Instance Level 3D Object Reconstruction based on Mesh R-CNN

Abstract

In recent years we have witnessed the rapid improvement of algorithms and technologies in object detection, instance segmentation and 3d reconstruction. Since the development of the R-CNN model and various improvements that follows, it is now an easy task to separate objects from the environment. For 3d reconstruction, Mesh R-CNN and PiFUHD render objects close to their original geometry, and this leads us to develop a 3d object reconstruction system that can integrate and improve its performance based on two models. We find that Mesh R-CNN can be improved with the newest PointRend model that generates more accurate shapes than Mask R-CNN on which Mesh R-CNN is based, and we reach the conclusion that a Monocular Instance Level 3D Object Reconstruction is fully feasible. document is a “live” template. The various components of your paper [title, text, heads, etc.] are already defined on the style sheet, as illustrated by the portions given in this document.