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Conference Paper Detection and Pose Estimation of Colored Tangram Pieces: An Initial Result based on Mathematica Implementation
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Authors
Joo-Haeng Lee
Issue Date
2017-12
Citation
International Symposium on System Integration (SII) 2017, pp.1-6
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/SII.2017.8279359
Abstract
A tangram is geometrical puzzle consisting of a square cut into seven convex polygons which can be arranged to make various other shapes. To build a augmented reality application for a real-world tangram, it is critical to detect and precisely estimate the poses of all the seven pieces of a tangram puzzle. Especially, poses including translation and rotation are important to measure a user's performance and to generate a appropriate guide information in augmented reality application. In this paper, we propose a solution for this problem with detailed exemplars required in Mathematica implementation. We also report the experimental results on real examples.