標題: Reliable determination of object pose from line features by hypothesis testing
作者: Chang, CC
Tsai, WH
資訊工程學系
Department of Computer Science
關鍵字: 3D-to-2D;line features;object poses;hypothesis testing;reject option;reliable estimated poses
公開日期: 1-十一月-1999
摘要: To develop a reliable computer vision system, the employed algorithm must guarantee good output quality. In this study, to ensure the quality of the pose estimated from line features, two simple test functions based on statistical hypothesis testing are defined. First, an error function based on the relation between the line features and some quality thresholds is defined. By using the first test function defined by a lower bound of the error function, poor input can be detected before estimating the pose. After pose estimation, the second test function can be used to decide if the estimated result is sufficiently accurate. Experimental results show that the first test function can detect input with low qualities or erroneous line correspondences and that the overall proposed method yields reliable estimated results.
URI: http://dx.doi.org/10.1109/34.809118
http://hdl.handle.net/11536/31016
ISSN: 0162-8828
DOI: 10.1109/34.809118
期刊: IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
Volume: 21
Issue: 11
起始頁: 1235
結束頁: 1241
顯示於類別:期刊論文


文件中的檔案:

  1. 000083921100014.pdf