2009 International Conference on Information Technology and Computer Science 2009
DOI: 10.1109/itcs.2009.67
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Cited by 3 publications
(1 citation statement)
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“…Kam-Art et al [39] proposed a method for feature extraction based on descriptive statistics of components of a face image: eyes, nose, and mouth. Hua and Liu [40] proposed a method for facial expression recognition based on local feature bidirectional two-dimensional PCA. Also, De Marsico et al [41] presented a technique based on partitioned iterated function by working on each face component independently.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Kam-Art et al [39] proposed a method for feature extraction based on descriptive statistics of components of a face image: eyes, nose, and mouth. Hua and Liu [40] proposed a method for facial expression recognition based on local feature bidirectional two-dimensional PCA. Also, De Marsico et al [41] presented a technique based on partitioned iterated function by working on each face component independently.…”
Section: Literature Reviewmentioning
confidence: 99%