For the expansion problem of quasi-cylinder labels with unequal radii, this paper proposes a cylindrical-like label surface expansion algorithm based on structured light vision. First, a structured light vision system is built by using an area scan camera and a cross laser. Second, the cross-laser point cloud of the quasi-cylinder label is obtained, and all the label point clouds are reconstructed according to the obtained laser point cloud. Finally, using the camera imaging model and the acquired images, the surface unfolding of the quasi-cylinder label is realized. The experimental results show that the algorithm takes only 150ms to realize the surface expansion of the quasi-cylinder label. And this algorithm does not require complex pose optimization, so the efficiency of the algorithm is further improved.
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.