eprintid: 104
rev_number: 8
eprint_status: archive
userid: 4
dir: disk0/00/00/01/04
datestamp: 2013-01-03 04:12:18
lastmod: 2017-12-08 04:53:36
status_changed: 2013-01-03 04:12:18
type: conference_item
metadata_visibility: show
creators_name: Ma, Thi Chau
creators_name: Bui, The Duy
creators_name: Dang, Trung Kien
creators_id: chaumt@vnu.edu.vn
creators_id: duybt@vnu.edu.vn
corp_creators: VNU_UET
title: Shift Error Analysis in Image Based 3D Skull Feature Reconstruction
ispublished: pub
subjects: IT
subjects: IT_CS
divisions: fac_fit
keywords: Accuracy;Biological tissues;Cameras;Face;Feature extraction;Image reconstruction;Shape;computer graphics;image reconstruction;3D final model;image based 3D skull feature reconstruction;shift error analysis;shift errors;skull images;skull-based 3D facial reconstruction;3D facial reconstruction;accuracy;feature detection;
abstract: 3D skull is crucial in skull-based 3D facial reconstruction. In 3D reconstruction, especially in skull-based 3D facial reconstruction, features usually play an important role. Because, the accuracy in feature detection strongly affects the accuracy of the 3D final model. In this paper, we concentrate on accuracy of 3D reconstructed skull, one important part in skull-based 3D facial reconstruction. We discuss a cause of errors called shift errors when taking sequence of skull images. In addition, we analysis the effect of shift error in 3D reconstruction and propose solution to limit the effect.
date: 2012-08-17
date_type: published
full_text_status: none
pres_type: paper
pagerange: 4 -10
event_title: 2012 Fourth International Conference on Knowledge and Systems Engineering (KSE)
event_location: Danang, Vietnam
event_dates: 17-19 August 2012
event_type: conference
refereed: TRUE
related_url_url: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6299181
related_url_type: pub
citation:   Ma, Thi Chau and Bui, The Duy and Dang, Trung Kien  (2012) Shift Error Analysis in Image Based 3D Skull Feature Reconstruction.  In: 2012 Fourth International Conference on Knowledge and Systems Engineering (KSE), 17-19 August 2012, Danang, Vietnam.