Title of article
Object matching algorithms using robust Hausdorff distance measures
Author/Authors
Dong-Gyu Sim، نويسنده , , Oh-Kyu Kwon، نويسنده , , Rae-Hong Park، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 1999
Pages
5
From page
425
To page
429
Abstract
A Hausdorff distance (HD) is one of commonly used measures
for object matching. This work analyzes the conventional HD
measures and proposes two robust HD measures based on M-estimation
and least trimmed square (LTS) which are more efficient than the
conventional HD measures. By computer simulation, the matching performance
of the conventional and proposed HD measures is compared
with synthetic and real images.
Keywords
least trimmed square , Hausdorff distance , M-estimation , object matching.
Journal title
IEEE TRANSACTIONS ON IMAGE PROCESSING
Serial Year
1999
Journal title
IEEE TRANSACTIONS ON IMAGE PROCESSING
Record number
396169
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