DocumentCode
900873
Title
Comments on "A Separable Low Complexity 2D HMM with Application to Face Recognition
Author
Yu, Lu ; Wu, Lenan
Author_Institution
Dept. of Radio Eng., Southeast Univ., Nanjing
Volume
29
Issue
2
fYear
2007
Firstpage
368
Lastpage
368
Abstract
The separable low complexity 2D HMM proposed in the paper by Othman and Aboulnasr (2003) builds on the assumption of conditional independence in the relationship between adjacent blocks. The authors view this assumption as the key assumption to reduce the complexity. In this communication, we show that this key assumption is entirely unnecessary
Keywords
computational complexity; face recognition; hidden Markov models; face recognition; hidden Markov model; separable low complexity 2D HMM; Equations; Face recognition; Hidden Markov models; Machine intelligence; Pattern analysis; 2D HMM; low complexity; separability.; Algorithms; Artificial Intelligence; Biometry; Computer Simulation; Face; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Information Storage and Retrieval; Markov Chains; Models, Biological; Models, Statistical; Pattern Recognition, Automated; Subtraction Technique;
fLanguage
English
Journal_Title
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher
ieee
ISSN
0162-8828
Type
jour
DOI
10.1109/TPAMI.2007.27
Filename
4042711
Link To Document