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학술대회 Detection and Pose Estimation of Colored Tangram Pieces: An Initial Result based on Mathematica Implementation
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저자
이주행
발행일
201712
출처
International Symposium on System Integration (SII) 2017, pp.1-6
DOI
https://dx.doi.org/10.1109/SII.2017.8279359
협약과제
17PS2200, 로봇 적용 범위 확장을 위해 3종의 조인트 모듈, 최대 7자유도의 기구부 조합에 따른 제어, 인지 시스템의 자동 구성이 가능한 모듈라 매니퓰레이션 기술 개발, 김재홍
초록
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.
KSP 제안 키워드
Augmented reality(AR), Augmented reality application, Convex polygons, Pose estimation, Real-world