江苏大学学报（自然科学版）2011，Vol.32Issue(3)：249-253,5.DOI:10.3969/j.issn.1671-7775.2011.03.001
基于断层切片透视的双目测量模型
Binocular measurement model based on fault slice perspective
摘要
Abstract
According to geometric analysis of binocular location, a kind of binocular measurement model based on fault slice perspective was presented in this paper. Nonlinear relation between optical parallax of object point and different depth distance was firstly established. Neural network model was established in advance on each slice plane to determine planar X and Y coordinate of object point according to known depth distance. When slice distance was different from modelling depth distance, nearest neighbor rule was adopt to model under proximate distance. The results show that maximum absolute error of model in depth direction is less than 4.5 nun, and those in X and Y directions are less than 2.0 mm. The error of spatial distance with real object point varies from 0.241 6 mm to 4. 859 0 mm when 97 fault slice positions change from 223 mm to 1 183 mm. The tests of locating tomato show that the model can meet the requirement for precise locating fruit.关键词
双目测量/神经网络/定位/番茄/模型Key words
binocular measurement/ neural network/ location/ tomato/ model分类
信息技术与安全科学引用本文复制引用
尹建军,毛罕平..基于断层切片透视的双目测量模型[J].江苏大学学报（自然科学版）,2011,32(3):249-253,5.基金项目
国家自然科学基金资助项目(50805067) （50805067）
中国博士后基金资助项目(20080441073) （20080441073）
江苏大学高级专业人才科研启动基金资助项目(07JDG078) （07JDG078）
