|
|
|
|
| LEADER |
01000naa a22002652 4500 |
| 001 |
NLM165468637 |
| 003 |
DE-627 |
| 005 |
20231223104757.0 |
| 007 |
tu |
| 008 |
231223s2006 xx ||||| 00| ||eng c |
| 028 |
5 |
2 |
|a pubmed24n0552.xml
|
| 035 |
|
|
|a (DE-627)NLM165468637
|
| 035 |
|
|
|a (NLM)16986548
|
| 040 |
|
|
|a DE-627
|b ger
|c DE-627
|e rakwb
|
| 041 |
|
|
|a eng
|
| 100 |
1 |
|
|a Donner, René
|e verfasserin
|4 aut
|
| 245 |
1 |
0 |
|a Fast active appearance model search using canonical correlation analysis
|
| 264 |
|
1 |
|c 2006
|
| 336 |
|
|
|a Text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a ohne Hilfsmittel zu benutzen
|b n
|2 rdamedia
|
| 338 |
|
|
|a Band
|b nc
|2 rdacarrier
|
| 500 |
|
|
|a Date Completed 17.10.2006
|
| 500 |
|
|
|a Date Revised 15.11.2007
|
| 500 |
|
|
|a published: Print
|
| 500 |
|
|
|a Citation Status MEDLINE
|
| 520 |
|
|
|a A fast AAM search algorithm based on canonical correlation analysis (CCA-AAM) is introduced. It efficiently models the dependency between texture residuals and model parameters during search. Experiments show that CCA-AAMs, while requiring similar implementation effort, consistently outperform standard search with regard to convergence speed by a factor of four
|
| 650 |
|
4 |
|a Comparative Study
|
| 650 |
|
4 |
|a Journal Article
|
| 650 |
|
4 |
|a Research Support, Non-U.S. Gov't
|
| 700 |
1 |
|
|a Reiter, Michael
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Langs, Georg
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Peloschek, Philipp
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Bischof, Horst
|e verfasserin
|4 aut
|
| 773 |
0 |
8 |
|i Enthalten in
|t IEEE transactions on pattern analysis and machine intelligence
|d 1979
|g 28(2006), 10 vom: 04. Okt., Seite 1690-4
|w (DE-627)NLM098212257
|x 1939-3539
|7 nnns
|
| 773 |
1 |
8 |
|g volume:28
|g year:2006
|g number:10
|g day:04
|g month:10
|g pages:1690-4
|
| 912 |
|
|
|a GBV_USEFLAG_A
|
| 912 |
|
|
|a SYSFLAG_A
|
| 912 |
|
|
|a GBV_NLM
|
| 912 |
|
|
|a GBV_ILN_350
|
| 951 |
|
|
|a AR
|
| 952 |
|
|
|d 28
|j 2006
|e 10
|b 04
|c 10
|h 1690-4
|