Characteristic Views As A Basis For Three-Dimensional Object Recognition
Characteristic Views As A Basis For Three-Dimensional Object Recognition
复制标题
特征视图作为三维物体识别的基础
DOI：
10.1117/12.933609
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发表时间：
1982
期刊：
影响因子：
--
通讯作者：
H. Freeman
中科院分区：
文献类型：
--
作者：
I. Chakravarty;H. Freeman
本文描述了一种新的三维物体建模技术，适用于高级自动化中的识别任务。对象用规范的2D模型表示，该模型可用于确定未知对象的身份、位置和方向。降维是通过将对象的所有可能的透视投影的空间分解成一组特征视图来实现的，其中每个这样的视图定义了特征视图域，在该特征视图域中所有投影在拓扑上是相同的并且通过线性变换相关。然后，可以对对象的特征视图进行分层结构以进行有效的分类。线-交汇点标记约束用于将特征视图与给定未知对象投影相匹配，并且未知对象投影到特征视图转换的确定然后提供关于对象的身份以及位置和方向的信息。
This paper describes a new technique for modeling 3D objects that is applicable to recog-nition tasks in advanced automation. Objects are represented in terms of canonic 2D models which can be used to determine the identity, location and orientation of an unknown object. The reduction in dimensionality is achieved by factoring the space of all possible perspective projections of an object into a set of characteristic views, where each such view defines a characteristic-view domain within which all projections are topologically identical and related by a linear transformation. The characteristic views of an object can then be hierarchically structured for efficient classification. The line-junction labelling constraints are used to match a characteristic view to a given unknown-object projection, and determination of the unknown-object projection-to-characteristic view transformation then provides information about the identity as well as the location and orientation of the object.