A. Lanitis, C.J. Taylor and TE Cootes. Automatic Identification of Human faces Using Flexible Appearance Mo- dels. Procs. of the 5th British Machine Vision Conference 1994.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....standard statistical pattern recognition techniques can be used to perform such tasks as person identification, gender recognition, expression recognition, and pose recov ery. For our experiments we have used a database containing 690 face images from 30 individuals. We have described elsewhere [15] the contents of the database (The database is publicly available on the Word Wide Web at: http: peipa.essex.ac.uk ftp ipa pix faces manchester) In the remainder of the paper we review some of the most relevant literature on face coding and interpretation, describe our approach in more detail, ....

....is transformed into the parameters of the shape free grey level model. The resulting set of appearance parameters can be used for image reconstruction, person identification (including gender recognition) expression recognition and pose recovery. 4: Modelling Faces We have described elsewhere [15] the generation of flexible models of facial appearance. In this section we provide a brief introduction. 4.1: Flexible Models A flexible model [4] can be generated from a set of training examples, each represented by N variables. The average example ( is calculated and the deviation of each ....

[Article contains additional citation context not shown here]

A. Lanitis, C.J. Taylor and TE Cootes. Automatic Identification of Human faces Using Flexible Appearance Mo- dels. Procs. of the 5th British Machine Vision Conference 1994.

....large amount of discriminatory information is contained in the grey level appearance. Mathematical procedures similar to those used for generating PDM s can be used to model the variation in the grey level appearance of variable objects using flexible grey level models. We have described elsewhere [ 4,5 ] how flexible greylevel models can be used in conjunction with a PDM for coding, reconstruction and accurate recognition of face images. The technique described in this paper can be used for a number of different problems; potential applications include face recognition systems [ 4 ] ....

....elsewhere [ 4,5 ] how flexible greylevel models can be used in conjunction with a PDM for coding, reconstruction and accurate recognition of face images. The technique described in this paper can be used for a number of different problems; potential applications include face recognition systems [ 4 ], interpretation of face movements and expressions [ 5 ] identification based on hand shapes and human computer interaction [ 1 ] ACKNOWLEDGEMENTS We would like to thank members of the Dept. Of Medical Biophysics for their help and advice. Also all those who kindly volunteered to offer face ....

A. Lanitis, C.J. Taylor and T.F. Cootes, 1994, 'Automatic Identification of Human faces Using Flexible Appearance Models'. Procs. of the 5th British Machine Vision Conference 1994, vol 1, pp 65-74, ed. Edwin Hancock, BMVA Press. (To appear in Image and Vision Computing)

....compact coding, standard statistical pattern recognition techniques can be used to perform the task of interpretation. For our face interpretation experiments we have used the Manchester face database 1 which con tains face images from 30 individuals and has been described in detail elsewhere [ 10 ]. 2 Background The functionality required to successfully tackle face image interpretation can be expressed in terms of a number of generic capabilities: feature location and tracking, person identification, expression recognition, pose recovery, and coding. Comprehensive literature reviews for ....

....with flexible grey level models. This approach to the problem builds on work reported by by Turk and Pentland [ 6 ] and Craw et al. [ 12 ] 1. The database is available at the World Wide Web at: http: peipa.essex. ac.uk fip ipa pix faces manchester 3 Modelling Faces We have described elsewhere [ 10 ] the generation of flexible models of facial appearance. In this section we briefly introduce these models. 3.1 Flexible Models A flexible model [ 3 ] can be generated from a set of training examples, each represented by N vari ables. The average example ( is calculated and the deviation of ....

[Article contains additional citation context not shown here]

A. Lanitis, C.J. Taylor and T.F. Cootes. "Automatic Identification of Human faces Using Flexible Appearance Models". Procs. of the 5th British Machine Vision Conference 1994, vol 1, pp 65-74, ed. Edwin Hancock, BMVA Press, 1994. (To appear in Image and Vision Computing)

....of GA search by assessing members of the population in parallel during selection. The work described in this paper represents the initial steps towards a complete face image interpretation system. We have developed techniques which can perform successfully tasks such as face identification [ 9 ], low bit rate coding [ 8 ] expression recognition, pose recovery and gender recognition [ 10 ] based on the automatic location of facial features on unseen images. The results obtained for these applications prove the potential of image search methods using GAs PDMs. Acknowledgements We would ....

A. Lanitis, C.J. Taylor and T.F. Cootes. Automatic Identification of Human faces Using Flexible Appearance Models. Image And Vision Computing (in press), 1995.

Online articles have much greater impact   More about CiteSeer.IST   Add search form to your site   Submit documents   Feedback  

CiteSeer.IST - Copyright Penn State and NEC