DocumentCode
678760
Title
3D surface profiling using arbitrarily positioned cameras
Author
HajiRassouliha, Amir ; Gamage, Thiranja P. Babarenda ; Parker, M.D. ; Nash, M.P. ; Taberner, Andrew J. ; Nielsen, Poul M. F.
Author_Institution
Auckland Bioeng. Inst., Univ. of Auckland, Auckland, New Zealand
fYear
2013
fDate
27-29 Nov. 2013
Firstpage
358
Lastpage
363
Abstract
3D surface measurements are important for studying the biomechanical properties of deformable tissues. For 3D surface profiling and reconstruction, corresponding points on an object should be matched in different camera views. This process is traditionally performed in systems that use stereo camera pairs or multiple cameras with aligned optical axes. To measure the deformation in soft tissues, it may be more appropriate to arbitrarily position the cameras. For instance, cameras can be placed to overcome obstructions that may be caused by measurement apparatus, such as a surface indenter. A truly arbitrary placement system requires the development of a new algorithm for finding corresponding points during surface reconstruction, as existing methods cannot handle large incompatibilities due to the perspective effects between rotated camera views. In this study, we have proposed a procedure for feature matching that can be used with arbitrarily positioned cameras. This proposed method is then used to generate a 3D surface profile of a silicone gel phantom.
Keywords
computer graphics; feature extraction; image matching; image reconstruction; surface reconstruction; 3D surface measurements; 3D surface profile; 3D surface profiling; arbitrarily positioned cameras; arbitrary placement system; biomechanical properties; deformable tissues; deformation; feature matching; measurement apparatus; multiple cameras; optical axes; rotated camera views; silicone gel phantom; soft tissues; stereo camera pairs; surface indenter; surface reconstruction; Cameras; Image reconstruction; Phantoms; Surface fitting; Surface reconstruction; Three-dimensional displays; Transforms; 3D DIC; 3D surface profiling; deformation measurement; feature matching; multiple-cameras; rotated camera views;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Vision Computing New Zealand (IVCNZ), 2013 28th International Conference of
Conference_Location
Wellington
ISSN
2151-2191
Print_ISBN
978-1-4799-0882-0
Type
conf
DOI
10.1109/IVCNZ.2013.6727068
Filename
6727068
Link To Document