Objective Evaluation of 3D Reconstructed Plants and Trees from 2D Images

被引:2
|
作者
Hu, Bao-Gang [1 ]
Zhang, Xiaopeng [1 ]
Yang, Gang [2 ]
Jaeger, Marc [3 ]
机构
[1] Chinese Acad Sci, Inst Automat, Beijing Grad Sch, LIAMA NLPR, POB 2728, Beijing, Peoples R China
[2] Beijing Forestry Univ, Sch Informat, Beijing, Peoples R China
[3] CIRAD Amap, INRIA Saclay, Project DigiPlante, Montpellier, France
关键词
D O I
10.1109/CW.2008.45
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this work, we propose a preliminary study on objective approaches in evaluating the synthesized 3D plants from the given image data. Two measures, in a general name of "Resemblance Index (RI)", are defined and investigated based on the normalized mutual information (RINI), and coincident-bit-counting criterion (RICBC), respectively. We propose a strategy of hierarchical evaluations on different attributes of objects. In this study, we only consider the geometrical and crown distribution attributes. The numerical investigations confirm the approach to be useful for a fast evaluation of 3D reconstructed plants/trees from image data. Discussions are given about the two measures based on the numerical examples.
引用
收藏
页码:263 / +
页数:2
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