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

Feature extraction for pattern recognition is a very common task in image analysis and computer vision. Most of the work has been reported for images / image sequences acquired by perspective cameras. This paper discusses the algorithms for feature extraction and pattern recognition in images acquired by omnidirectional (fisheye) cameras. Work has been reported using operators in the frequency domain, which in the case of fisheye/omnidirectional images involves spherical harmonics. In this paper we review the recent literature, including relevant results from our team and state the position that features can be extracted from spherical images, by modifying the existing operators in the spatial domain, without the need to correct the image for distortions.

Feature Extraction and Pattern Recognition from Fisheye Images in the Spatial Domain