| US 7,587,069 B2 | ||
| Weak hypothesis generation apparatus and method, learning apparatus and method, detection apparatus and method, facial expression learning apparatus and method, facial expression recognition apparatus and method, and robot apparatus | ||
| Javier R. Movellan, La Jolla, Calif. (US); Marian S. Bartlett, La Jolla, Calif. (US); Gwendolen C. Littlewort, La Jolla, Calif. (US); John Hershey, La Jolla, Calif. (US); Ian R. Fasel, La Jolla, Calif. (US); Eric C. Carlson, La Jolla, Calif. (US); Josh Susskind, La Jolla, Calif. (US); Kohtaro Sabe, Tokyo (Japan); Kenta Kawamoto, Tokyo (Japan); and Kenichi Hidai, Tokyo (Japan) | ||
| Assigned to Sony Corporation, Tokyo (Japan); and San Diego, University of California, Oakland, Calif. (US) | ||
| Filed on Mar. 07, 2008, as Appl. No. 12/75,080. | ||
| Application 12/075080 is a division of application No. 10/871494, filed on Jun. 17, 2004, granted, now 7,379,568. | ||
| Claims priority of provisional application 60/490316, filed on Jul. 24, 2003. | ||
| Prior Publication US 2008/0247598 A1, Oct. 09, 2008 | ||
| Int. Cl. G06K 9/00 (2006.01) | ||
| U.S. Cl. 382—118 [382/155; 382/224; 706/12; 706/25] | 8 Claims |
| 1. A facial expression learning apparatus for learning data to be used by a facial expression recognition apparatus, the facial
expression recognition apparatus being adapted for recognizing an expression of a provided face image by using an expression
learning data set including plural face images representing specific expressions as recognition targets and plural face images
representing expressions different from the specific expressions,
the facial expression learning apparatus comprising an expression learning unit for learning data to be used by the facial
expression recognition apparatus, the facial expression recognition apparatus identifying the face images representing the
specific expressions from provided face images on the basis of a face feature extracted from the expression learning data
set by using a Gabor filter.
|