With the wide application of Colored Point Clouds(CPC), the amount of data is increasing, and efficient compression is required in practical applications. The most advanced compression technology for static CPC is the G-PCC proposed by MPEG. However, quantification errors from G-PCC-1 (Octree) can cause grid hole distortion, which can have a serious impact on the quality of user's visual perception. For this reason, this paper proposes a Point Cloud Projection based light-to-medium G-PCC-1 Hole Distortion Repair method (denoted as P-GHDR) for CPC. The distorted CPC is projected from 3D space to 2D plane, and the G-PCC-1 distorted is repaired by combining multi-view color and geometric projection maps. Finally, the repaired CPC is reconstructed by reverse projection. Experiments show that the proposed method can effectively improve the geometric and visual objective metrics of G-PCC-1 coded CPC, and can significantly improve the quality of CPC reconstructed with light-to-medium G-PCC-1 codes.
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.