A Survey on Approaches of Monocular CAD Model-Based 3D Objects Pose Estimation and Tracking

Abstract

Estimating and tracking the pose of objects is a key task in the field of photogrammetry and computer vision, playing an important role in a large number of applications and is receiving significant attentions. Combining CAD model and images from monocular RGB camera to estimate and track the pose of 3D objects has lots of applications. Despite enormous approaches exist, a deep review of the literatures on 3D pose estimation and tracking is still lacking. The paper reviews the works on model-based 3D objects pose estimation and tracking during the past two decades and classifies the approaches into different categories.