MARC Record from marc_columbia

LEADER: 02239mam a2200337 a 4500
001 2313699
005 20220616015730.0
008 980818t19991999maua b 001 0 eng
010 $a 98037189
020 $a1568810873
035 $a(OCoLC)ocm39739664
035 $9APG9960CU
035 $a2313699
040 $aDLC$cDLC$dC#P$dOrLoB-B
050 00 $aTA1650$b.T86 1999
082 00 $a006.3/7$221
245 00 $aTwo-and three-dimensional patterns of the face /$cPeter W. Hallinan [and others].
260 $aNatick, Mass. :$bA.K. Peters,$c[1999], ©1999.
300 $aviii, 262 pages :$billustrations ;$c24 cm
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
504 $aIncludes bibliographical references (p. 249-259) and index.
505 00 $g1.$tFaces from a Pattern-Theoretic Perspective --$g2.$tOverview of Approaches to Face Recognition --$g3.$tModeling Variations in Illumination --$g4.$tModeling Variations in Geometry --$g5.$tRecognition from Image Data --$g6.$tParabolic Curves and Ridges on Surfaces --$g7.$tSculpting a Surface --$g8.$tFinding Facial Features from Range Data --$g9.$tRecognition from Range Data --$g10.$tWhat's Next?
520 $aThe human face is perhaps the most familiar and easily recognized object in the world, yet both its three-dimensional shape and its two-dimensional images are complex and hard to characterize. This book ties together applied mathematics, applied statistics, and engineering by applying general theories and concepts to the specific and familiar example of the human face.
520 8 $aThe authors include fully worked out examples of two approaches to face recognition, demonstrating the power of pattern theory and suggesting interesting new mathematics in the two-and three-dimensional aspects of the face.
650 0 $aHuman face recognition (Computer science)$0http://id.loc.gov/authorities/subjects/sh97003901
650 0 $aFace$xMathematical models.
650 0 $aComputer vision.$0http://id.loc.gov/authorities/subjects/sh85029549
650 0 $aGeometry, Differential.$0http://id.loc.gov/authorities/subjects/sh85054146
700 1 $aHallinan, Peter W.$0http://id.loc.gov/authorities/names/n98074521
852 00 $boff,eng$hTA1650$i.T86 1999