Planar object recognition using projective shape representation
Planar object recognition using projective shape representation
复制标题
使用投影形状表示进行平面物体识别
DOI：
10.1007/bf01428193
复制
发表时间：
1995
影响因子：
19.5
通讯作者：
J. Mundy
中科院分区：
文献类型：
--
作者：
Charlie Rothwell;Andrew Zisserman;D. Forsyth;J. Mundy
我们描述了一个基于模型的识别系统，称为刘易斯，用于识别平面物体的基础上的形状的投影不变表示。这种形状描述的优点包括简单的模型获取（直接从图像），不需要相机校准或对象姿态计算，以及使用索引函数。我们详细描述了特征构造和识别算法，并提供了使用索引函数的组合优势的分析。索引函数用于从模型库中选择模型，并基于代数曲线和规范投影坐标框架从投影不变量构造。实例给出的对象识别从图像的真实的场景，具有广泛的对象库。成功的识别证明，尽管部分遮挡未建模的对象，和现实的照明条件。
We describe a model based recognition system, called LEWIS, for the identification of planar objects based on a projectively invariant representation of shape. The advantages of this shape description include simple model acquisition (direct from images), no need for camera calibration or object pose computation, and the use of index functions. We describe the feature construction and recognition algorithms in detail and provide an analysis of the combinatorial advantages of using index functions. Index functions are used to select models from a model base and are constructed from projective invariants based on algebraic curves and a canonical projective coordinate frame. Examples are given of object recognition from images of real scenes, with extensive object libraries. Successful recognition is demonstrated despite partial occlusion by unmodelled objects, and realistic lighting conditions.