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.

A fast and robust face location and feature extraction system

Loading...
Thumbnail Image

Date

Authors

Yao, TianXiang
Li, Hongdong
Liu, GuanGyao
Ye, XiuQing
Gu, WeiKang
Jin, YiQing

Journal Title

Journal ISSN

Volume Title

Publisher

Institute of Electrical and Electronics Engineers (IEEE Inc)

Abstract

Automatic face location and feature detection in front view images has a wide range of usage. To fulfill a both fast and robust algorithm is still a challenge. In this paper, we have proposed such a solution. In order to detect faces fast and accurate in

Description

Citation

Source

IEEE International Conference on Image Processing 2002

Book Title

Entity type

Access Statement

License Rights

DOI

Restricted until

2037-12-31
abcd