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A real-Time markerless augmented reality framework based on slam technique
Conference paper

A real-Time markerless augmented reality framework based on slam technique

Chien-Wen Chen, Wen-Zheng Chen, Jain-Wei Peng, Bo-Xun Cheng, Tse-Yu Pan, Hsu-Chan Kuo and Min-Chun Hu
Proceedings - 14th International Symposium on Pervasive Systems, Algorithms and Networks, I-SPAN 2017, 11th International Conference on Frontier of Computer Science and Technology, FCST 2017 and 3rd International Symposium of Creative Computing, ISCC 2017, Vol.2017-November, pp.127-132
11/2017

Abstract

3D Scene Reconstruction Iterative Closest Point (ICP) Markerless AR Industrial and Manufacturing Engineering Control and Systems Engineering Computer Science (all) Electrical and Electronic Engineering
The most common way to perform Augmented Reality (AR) is to use markers to calibrate the camera pose, which enables later placement/projection of virtual content into the captured real scene accordingly. However, marker-based AR has an inherent drawback, i.e.The requirement of specific marker(s), which may limit the development of its applications. In contrast, markerless AR uses visual or depth information of the captured scene to estimate the camera pose, thus no special marker is needed for calibaration, nonetheless, requires higher computation complexity. In this work, we design a markerless AR framework that simultanesously considers mobility, accuracy, and computation complexity. The proposed AR framework can achieve real-Time 3D environment reconstruction by using a mobile device equipped with a depth camera and Inertial Measurement Units (IMUs). We further design an AR game based on the Unity3D engine to validate the feasibility and accuracy of the proposed markerless AR framework, which successfully improves the game experience.

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