An efficient camera path computation using image-space information in virtual endoscopy

Koo Joo Kwon, Byeong Seok Shin

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

3 Scopus citations

Abstract

In virtual endoscopy, fast and accurate path generation and navigation is the most important feature. Previous methods made a center line of organ cavity by connecting consecutive points maximally distant from organ wall. However they have some problems to demand a lot of computation and extra storage for spatial data structures. We propose an efficient path computation algorithm. It determines camera direction for the next frame identifying a ray that has maximum depth in current frame. Camera position is determined by using the center of gravity of organ's cross-section. Entire camera path can be constructed by applying the operation in every frame. It doesn't require preprocessing and extra storage since it depends only on image-space information generated in rendering time.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsCevdet Aykanat, Tugrul Dayar, Ibrahim Korpeoglu
PublisherSpringer Verlag
Pages118-125
Number of pages8
ISBN (Print)3540235264, 9783540235262
DOIs
StatePublished - 2004

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3280
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

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