Enhanced face detection framework based on skin color and false alarm rejection
Fast and precise face detection is a challenging task in computer vision. Human face detection plays an essential role in the first stage of face processing applications such as recognition tracking, and image database management. In the applications, face objects often come from an inconsequential...
Saved in:
Main Author: | Sharifara, Ali |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2015
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/77598/1/AliSharifaraPFC2015.pdf http://eprints.utm.my/id/eprint/77598/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:95157 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Search space optimization and false alarm rejection face detection framework
by: Sharifara, Ali, et al.
Published: (2015) -
A robust human face detection algorithm based on skin color segmentation and edge detection
by: Sharifara, Ali, et al.
Published: (2015) -
Human face detection using skin color segmentation and watershed algorithm
by: Fatma Susilawati, Mohamad, et al.
Published: (2017) -
A new algorithm for human face detection using skin color tone
by: Zangana, Hewa Majeed, et al.
Published: (2013) -
Two stages haar-cascad face detection with reduced false positive
by: Alashbi, A. A. S., et al.
Published: (2019)