FORMS: A flexible object recognition and modelling system
FORMS: A flexible object recognition and modelling system
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DOI：
10.1007/bf00208719
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发表时间：
1995-06
影响因子：
19.5
通讯作者：
Song-Chun Zhu;A. Yuille
中科院分区：
文献类型：
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作者：
Song-Chun Zhu;A. Yuille
我们描述了一个灵活的对象识别和建模系统（FORMS），它从轮廓中表示和识别动画对象。它包含一个用于生成动画对象形状的模型，该模型给出了解决对象识别逆问题的形式。我们以三个复杂程度对所有对象进行建模：（i）基元，（ii）中粒度形状，它们是基元的变形，以及（iii）通过使用语法将中粒度形状连接在一起而构造的对象。基元的变形可以通过主成分分析或模态分析来表征。在进行识别时，通过一种基于可变形圆的骨架提取和部分分割的新方法，以自下而上的方式从其轮廓中获得这些对象的表示。然后将这些表示与原型对象的数据库进行匹配，以获得一组候选解释。这些解释是在自上而下的过程中得到验证的。该系统被证明在存在噪声、不存在部件、存在附加部件以及关节和视点存在相当大变化的情况下是稳定的。最后，我们描述如何从示例中自动学习这种表示方案。
We describe a flexible object recognition and modelling system (FORMS) which represents and recognizes animate objects from their silhouettes. This consists of a model for generating the shapes of animate objects which gives a formalism for solving the inverse problem of object recognition. We model all objects at three levels of complexity: (i) the primitives, (ii) themid-grained shapes, which are deformations of the primitives, and (iii) objects constructed by using a grammar to join mid-grained shapes together. The deformations of the primitives can be characterized by principal component analysis or modal analysis. When doing recognition the representations of these objects are obtained in a bottom-up manner from their silhouettes by a novel method for skeleton extraction and part segmentation based on deformable circles. These representations are then matched to a database of prototypical objects to obtain a set of candidate interpretations. These interpretations are verified in a top-down process. The system is demonstrated to be stable in the presence of noise, the absence of parts, the presence of additional parts, and considerable variations in articulation and viewpoint. Finally, we describe how such a representation scheme can be automatically learnt from examples.