English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

The production of realistic 3D map databases is continuously growing. We studied an approach of 3D mapping database producingbased on the fusion of heterogeneous 3D data. In this term, a rigid registration process was performed. Before starting the modelingprocess, we need to validate the quality of the registration results, and this is one of the most difficult and open research problems. Inthis paper, we suggest a new method of evaluation of 3D point clouds based on feature extraction and comparison with a 2Dreference model. This method is based on tow metrics: binary and fuzzy

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

FEATURE-BASED QUALITY EVALUATION OF 3D POINT CLOUDS – STUDY OF THE PERFORMANCE OF 3D REGISTRATION ALGORITHMS