3D object model recovery from 2D images utilizing corner detection

Ying Yuan Huang, Mei Yung Chen

研究成果: 書貢獻/報告類型會議貢獻

摘要

This research proposes a method to reconstruct the 3D object model from 2D images. The reconstruction theorem this research used is based on the stereo vision algorithm. Stereo vision is one type of the non-contact scanning measurement. The theorem of the stereo vision were simulates the human's eyes to calculate the object's depth information. There for, this research uses two CCD Cameras to capture the object's 2D images. Then find out the match points from the left and right two images. To reconstruct the object's 3D model by using the match points, parameters of the CCD Cameras and transform matrix that between the world coordinate and camera coordinate. The object this research reconstructed belongs to simple geometry. There for, we can reconstruct the object's 3D model by the feature points of the object. The feature points always appear on edges and vertices. In this way we can reduce the number of the points we should reconstruct, so the system can build up the object's 3D model fast. The CCD Cameras unable to capture the whole object's surface information in once time, so this research proposes a method that rotates the object to solve this problem. The system combines the rotation model with the reconstruction system to reconstruct the complete object's 3D model.

原文英語
主出版物標題Proceedings 2011 International Conference on System Science and Engineering, ICSSE 2011
頁面76-81
頁數6
DOIs
出版狀態已發佈 - 2011
事件2011 International Conference on System Science and Engineering, ICSSE 2011 - Macao, 中国
持續時間: 2011 六月 82011 六月 10

其他

其他2011 International Conference on System Science and Engineering, ICSSE 2011
國家中国
城市Macao
期間2011/06/082011/06/10

ASJC Scopus subject areas

  • Control and Systems Engineering

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