基于模型的增强现实无标识三维注册追踪方法

Translated title of the contribution: Model-Based Marker-Less 3D Tracking Approach for Augmented Reality

Yue Wang, Shusheng Zhang, Weiping He, Xiaoliang Bai

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

To tackle the huge searching space and few texture feature points on the object surface problem, we propose a novel method that combines model-based tracking and natural feature tracking for fast and robust camera pose calculation. The proposed method first adapts the state-of-the-art template matching method LINE-MOD into a scale invariant descriptor to recognize the target object and obtain the key-frame that is similar to the current viewpoint. Therefore, it greatly reduces the search space for pose refinement method and improves the searching speed. After that, the keyframe obtained from template matching stage is exploited to refine the tracking accuracy. In order to avoid tracking jitter and improve tracking accuracy and speed, RPnP algorithm is incorporated into our system. The experimental results and performance evaluations demonstrate that our method is fast, accurate and robust for 3D registration and tracking even under partial occlusion, and the tracking speed can reach 30 frame/s.

Translated title of the contributionModel-Based Marker-Less 3D Tracking Approach for Augmented Reality
Original languageChinese (Traditional)
Pages (from-to)83-89
Number of pages7
JournalShanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University
Volume52
Issue number1
DOIs
StatePublished - 1 Jan 2018

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