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3D Statistical Shape Models Using Direct Optimisation of Description Length (2002)
| Citations: | 77 - 7 self |
BibTeX
@INPROCEEDINGS{Davies023dstatistical,
author = {Rhodri H. Davies and Carole J. Twining and Tim F. Cootes and John C. Waterton and Chris J. Taylor},
title = {3D Statistical Shape Models Using Direct Optimisation of Description Length},
booktitle = {},
year = {2002},
pages = {3--20},
publisher = {Springer}
}
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Abstract
We describea n a26`('9b method for buildingoptima 3D sta22j9b'2 sha e models from sets oftraj'Hj sha es. Althoughsha e models showconsideraj- promisea a bami for segmentingan interpreting imainga ma jordra wba k of theae9`2j h is the need toestaH-69 a dense correspondenceadenc a trance9 set ofexa')( sha es. It is importa t to esta)`9b the correct correspondence, otherwise poor models ca result. In 2D, thisca be a hieved usingma ua `la9`'-H`9b but in 3D this becomesimpra2`-269 We show it is possible toesta6jH9 correspondences automatically, byca6)22 the correspondence problema one of finding the`optima) paima)9b`2'2)9 of ea hsha e in thetra'-22 set. We describea n explicit representares ofsurfa6 paa6(9b`j"`9a tha ensures the resulting correspondencesad legac ag show how this representaen9ca bemaH('9b2)j to minimise thed933J29-2 length of the tra'H22 set using the model. This results incompaH models with good generab2(-'H9 properties. Resultsas reported for two sets ofbiomedica sha es, showingsignifica t improvement in model propertiescompa9' to thoseobta9j) usinga uniform surfam paam92))559b2'6 1
Keyphrases
description length sha e dense correspondenceadenc correspondencesad legac ag sha model need toestah-69 thed933j29-2 length possible toesta6jh9 correspondence usinga uniform surfam paam92 hj sha e poor model good generab2 imainga ma jordra wba model propertiescompa9 althoughsha model representaen9ca bemah explicit representares showingsignifica improvement h9 property correct correspondence result incompah model ea hsha
