KEYWORDS: Clouds, Optical flow, Image registration, Detection and tracking algorithms, RGB color model, 3D modeling, 3D image processing, Cameras, Calibration, Binary data
In this paper, we present an approach for the deformable registration of 3D data via an RGB-D camera to reduce depth distortions in featureless regions. We employ the established PWC-Net based Optical Flow algorithm to identify pixel correspondence between nearby frames and then densely and uniformly select transformation nodes. Color correspondence of the transformation nodes is used in both global and local deformations. Several experimental results show that the proposed method results in low distortion during the non-rigid registration of multiple RGB-D images.
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.