KEYWORDS: 3D image processing, Cameras, Calibration, 3D image reconstruction, Photogrammetry, 3D vision, Machine vision, Computer vision technology, Digital photography, Visualization
Three dimensional (3D) shape lies an unresolved and active research topic on the cross-section of computer vision and
digital photogrammetry. In this paper, we focus on 3D object shape reconstruction from uncalibrated images and put
forward a hybrid method. The recovering 3D shape comprises two steps, firstly, calculate homography transformation to
obtain the outlines, secondly, calculate the reconstructed object height by vanishing point and vanishing line from
reference height. This hybrid method requires no camera calibration or the estimation of the fundamental matrix; hence,
it reduces the computational complexity by eliminating the requirement for abundant conjugate points. The experiment
shows that the method is much validated and something useful is obtained.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.