Recognition of facial expressions - Knowledge Based Systems ...
Recognition of facial expressions - Knowledge Based Systems ...
Recognition of facial expressions - Knowledge Based Systems ...
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An example <strong>of</strong> an output file is given below<br />
K&H.enhanced 36 points<br />
640 490<br />
348 227 407 226<br />
p1:349,226<br />
p2:407,227<br />
p3:289,225<br />
p4:471,224<br />
p5:319,229<br />
p6:437,228<br />
p7:319,210<br />
p8:437,209<br />
p9:303,226<br />
p10:457,225<br />
p11:335,226<br />
p12:421,227<br />
p13:303,213<br />
p14:457,213<br />
p15:335,217<br />
p16:421,217<br />
p17:319,186<br />
p18:437,179<br />
p19:352,201<br />
p20:403,198<br />
p21:343,200<br />
p22:412,196<br />
p23:324,341<br />
p24:440,343<br />
p25:378,373<br />
p26:378,332<br />
p27:360,366<br />
p28:396,368<br />
p29:360,331<br />
p30:396,328<br />
p31:273,198<br />
p32:485,193<br />
p33:378,311<br />
p34:378,421<br />
p35:292,294<br />
p36:455,289<br />
Parameter Discretization<br />
By using the FCP Management Application, all the images from the initial Cohn-Kanade<br />
AU-Coded Facial Expression Database were manually processed and a set <strong>of</strong> text files<br />
including the specification <strong>of</strong> Facial Characteristic Point locations has been obtained. The<br />
Parameter Discretization Application was further used for analyzing all the “KH” files<br />
previously created and to gather all the data in a single output text file.<br />
An important task <strong>of</strong> the application consisted in performing the discretization process for<br />
the value <strong>of</strong> each <strong>of</strong> the parameters, for all the input samples.<br />
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