1997
@article{Scl1997,
vgclass = {refpap},
vgproject = {cbir},
author = {Stan Sclaroff},
title = {Deformable Prototypes for Encoding Shape Categories in
Image Databases},
journal = {Pattern Recognition},
volume = {30},
number = {4},
pages = {627--642},
month = {April},
year = {1997},
abstract = {We describe a method for shape-based image database search
that uses deformable prototypes to represent categories. Rather than
directly comparing a candidate shape with all shape entries in the
database, shapes are compared in terms of the types of nonrigid
deformations (differences) that relate them to a small subset of
representative prototypes. To solve the shape correspondence and
alignment problem, we employ the technique of modal matching, an
information-preserving shape decomposition for matching, describing,
and comparing shapes despite sensor variations and nonrigid
deformations. In modal matching, shape is decomposed into an ordered
basis of orthogonal principal components. We demonstrate the utility of
this approach for shape comparison in 2-D image databases.},
}