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

被引：0
|
作者：
Wang, Zi [1 ]
Shang, Yang [1 ]
Zhang, Hongliang [1 ]
机构：
[1] Natl Univ Def Technol, Coll Aerosp Sci & Engn, Changsha 410000, Peoples R China
来源：
2018 IEEE CSAA GUIDANCE, NAVIGATION AND CONTROL CONFERENCE (CGNCC) | 2018年
基金：
中国国家自然科学基金;
关键词：
pose estimation; 3D tracking; CAD model; VISUAL TRACKING;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
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页数：6
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