Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

Rapid face recognition using hashing

Loading...
Thumbnail Image

Date

Authors

Shi, Qinfeng
Li, Hanxi
Shen, Chunhua

Journal Title

Journal ISSN

Volume Title

Publisher

Institute of Electrical and Electronics Engineers (IEEE Inc)

Abstract

We propose a face recognition approach based on hashing. The approach yields comparable recognition rates with the random ℓ1 approach [18], which is considered the state-of-the-art. But our method is much faster: it is up to 150 times faster than [18] o

Description

Citation

Source

Proceedings of The 23rd IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2010)

Book Title

Entity type

Access Statement

License Rights

Restricted until

2037-12-31