Real-time semantics based plane object tracking for augmented reality

Shaowu Peng; Ju Chen; Honggang Guan; Ruojing Huang; Shichao Ou

doi:10.1117/12.2539327

14 February 2020 Real-time semantics based plane object tracking for augmented reality

Shaowu Peng, Ju Chen, Honggang Guan, Ruojing Huang, Shichao Ou

Proceedings Volume 11430, MIPPR 2019: Pattern Recognition and Computer Vision; 114301B (2020) https://doi.org/10.1117/12.2539327
Event: Eleventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2019), 2019, Wuhan, China

Abstract

In this paper we present an application solution for real-time augmented reality. We achieve almost 30 frames per second on our device and maintained good result for augmented. We use textured planar object as target. Consider of the computational complexity, we use patch feature and ZSSD template matching method for point matching. In the meantime, we maintain a database of the target template as semantics information. The semantics includes multiple key frame images of target object in different position. With this semantic database, we figure out the problems caused by viewport change and achieve robust performance.

Citation Download Citation

Shaowu Peng, Ju Chen, Honggang Guan, Ruojing Huang, and Shichao Ou "Real-time semantics based plane object tracking for augmented reality", Proc. SPIE 11430, MIPPR 2019: Pattern Recognition and Computer Vision, 114301B (14 February 2020); https://doi.org/10.1117/12.2539327

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