Refereed full papers (journals, book chapters, international conferences)

1996

@article{ZhY1996,
	vgclass =	{refpap},
	author =	{Song Chun Zhu and Alan L. Yuille},
	title =	{{FORMS}: A flexible object recognition and modelling
	system},
	journal =	{International Journal of Computer Vision},
	volume =	{20},
	number =	{3},
	pages =	{187--212},
	month =	{December},
	year =	{1996},
	abstract =	{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) the \emph{mid-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.},
}