Face Recognition by Discriminative Orthogonal Rank-one Tensor Decomposition
Gang Hua · InTech eBooks · 2008
Recent Advances in Face Recognition 40 better understand the behaviours of the two.Note most of our results are adopted from (Hua et al., 2007) but we provide more analysis and discussions in this Chapter.The rest of the Chapter is organized as follows: Section 2 defines some terminologies and mathematic notations on tensor analysis, as well as a very important property of orthogonal tensor projections, which will be used across the Chapter.Section 3 reviews the Global-Local tensor representation with its benefits discussed.Then, in Section 4, we present the new method for discriminative orthogonal rank-one tensor decomposition.Section 5 will discuss the experimental results on bench-mark face databases.Section 6 highlights some general remarks regarding the orthogonal rank-one tensor decomposition method for the task of face recognition.We conclude this Chapter in Section 7. How to referenceIn order to correctly reference this scholarly work, feel free to copy and paste the following: