Face image analysis by unsupervised learning (Q2781766)

This book deals with face image analysis by unsupervised learning and is the rewriting of the doctoral dissertation of the author. As face image analysis is a wide scope, the author does not speak of supervised methods applied to this problem.NEWLINENEWLINENEWLINEAfter a summary, chapter 2 begins with a general description of unsupervised learning in object representation. Then, more specific methods like independent component analysis are presented.NEWLINENEWLINENEWLINEChapter 3 treats of independent components analysis representations for face recognition. Some algorithms and their implementation are described. Results are given and commented.NEWLINENEWLINENEWLINEChapter 4 presents some automated facial expression analysis methods. After a review of the more relevant works, the facial action coding system is introducted. This coding system is used whithin the algorithms presented in chapters 5 and 6. So, the reader is advised to read chapter 4 before chapters 5 and 6.NEWLINENEWLINENEWLINEChapters 5 and 6 deal with two comparative studies of image representation for facial expression analysis. Each method is developed, and tests are made using an image database. Some results are presented.NEWLINENEWLINENEWLINEChapter 7 is about learning viewpoint invariant representations of faces. The goal is to find representations which are insensitive to changes of camera pose or face expression.NEWLINENEWLINENEWLINEThis book is suited to people who want to have a specialized presentation of unsupervised learning method for face image analysis.