Journal Article10.1016/S0031-3203(01)00023-1
Human face profile recognition using attributed string
Yongsheng Gao,Maylor K. H. Leung +1 more
TL;DR: A new attributed string matching method for human face profile recognition that relies mainly on the merge and change operations of string to tackle the inconsistency problem of feature point detection is proposed.
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About: This article is published in Pattern Recognition. The article was published on 01 Feb 2002. The article focuses on the topics: String metric & String searching algorithm.
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Citations
3d face recognition from range data
Gang Pan,Zhaohui Wu +1 more
TL;DR: This paper investigates face recognition from range data by facial profiles and surface by using an efficient symmetry plane detection method for facial range data and a global profile matching method to align and compare the two profiles without detecting fiducial points that is often unreliable.
56
Recognizing partially occluded faces from a single sample per class using string-based matching
Weiping Chen,Yongsheng Gao +1 more
- 05 Sep 2010
TL;DR: Experimental results demonstrate, for the first time, the feasibility and effectiveness of a high-level syntactic method in face recognition, showing a new strategy for face representation and recognition.
Face authentication based on multiple profiles extracted from range data
Yijun Wu,Gang Pan,Zhaohui Wu +2 more
TL;DR: A global profile matching approach based on the partial Hausdorff metric is presented to align and compare profiles, without detection of fiducial points that is often unreliable.
42
3D face recognition by profile and surface matching
Gang Pan,Yijun Wu,Zhaohui Wu,Wenyao Liu +3 more
- 20 Jul 2003
TL;DR: An approach for automatic face verification from range data consists of profile and surface matching, and a global profile matching method based on k-th Hausdorff distance is used to align and compare profiles, without detection of fiducial points that is often unreliable.
39
Profile-based face recognition
Ioannis A. Kakadiaris,H. Abdelmunim,Weilong Yang,Theoharis Theoharis +3 more
- 01 Sep 2008
TL;DR: A new system for profile-based face recognition that uses implicit shape registration via the vector distance functions and exhibited higher accuracy than the iterative closest point methodology due to the use of more general transformations.
28
References
•Book
Handbook of Pattern Recognition and Computer Vision
C. H. Chen,L. F. Pau,P. S. P. Wang +2 more
- 01 Aug 1993
TL;DR: This book provides the latest advances on pattern recognition and computer vision along with their many applications and features articles written by renowned leaders in the field while topics are presented in readable form to a wide range of readers.
1.1K
Face recognition using line edge map
Yongsheng Gao,Maylor K. H. Leung +1 more
TL;DR: This research demonstrates that the LEM, together with the proposed generic line-segment Hausdorff distance measure, provides a new method for face coding and recognition.
Machine identification of human faces
TL;DR: Improved techniques for automatic recognition of human face profiles are reported, each face description being a 17-dimensional feature vector whose components were formed from the averages of three sittings.
173
Attributed String Matching with Merging for Shape Recognition
Wen-Hsiang Tsai,Shiaw-Shian Yu +1 more
TL;DR: Experimental results prove the feasibility of the proposed approach for general shape recognition using attributed string matching with merging with some possible extensions of the approach also included.