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
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;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
DOI :
10.1109/TPAMI.2007.27
