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

Location-based services (LBS) on web-based maps and images have come into real-time since Google launched its Street Viewimaging services in 2007. This research employs Google Maps API and Web Service, GAE for JAVA, AJAX, Proj4js, CSS and HTMLin developing an internet platform for accessing the orientation parameters of Google Street View (GSV) panoramas in order todetermine the three dimensional position of interest features that appear on two overlapping panoramas by geometric intersection. Apair of GSV panoramas was examined using known points located on the Library Building of National Chung Hsing University(NCHU) with the root-mean-squared errors of ±0.522m, ±1.230m, and ±5.779m for intersection and ±0.142m, ±1.558m, and ±5.733mfor resection in X, Y, and h (elevation), respectively. Potential error sources in GSV positioning were analyzed and illustrated that theerrors in Google provided GSV positional parameters dominate the errors in geometric intersection. The developed system is suitablefor data collection in establishing LBS applications integrated with Google Maps and Google Earth in traffic sign and infrastructureinventory by adding automatic extraction and matching techniques for points of interest (POI) from GSV panoramas

FEATURE POSITIONING ON GOOGLE STREET VIEW PANORAMAS