Patent Document ID: 10068131
Application ID: 15114445

Base Claim:
1. An apparatus for recognizing an expression using an expression-gesture dictionary, the apparatus comprising: a learning image acquisitor configured to obtain position data of a face and eyes from a learning expression, perform a first normalization based on the obtained position data, track a change of a dense motion of the learning expression from a reference frame of a neutral expression, and generate expression learning data; an expression-gesture dictionary and expression-gesture dictionary learner configured to represent and store a numerical value for expression recognition for each expression according to a dictionary learning method satisfying a given limiting condition using a local support map in an image coordinate space for a motion flow with respect to a set of changes of the dense motion of the learning expression after initializing the expression-gesture dictionary; an expression classifier learner configured to learn an expression classification for each expression based on a weight of data on the expression-gesture dictionary; a recognition image acquisitor configured to obtain position data of a face and eyes from a recognition target, perform a second normalization based on the obtained position data, track a change of a dense motion of the recognition target from the reference frame of the neutral expression, and generate recognition data; and an expression recognizer configured to analyze an expression weight on data to be recognized, determine a closest classification by the expression classifier learner, and recognize an expression, wherein the first normalization removes a peripheral region regardless of an expression in a facial region by giving an offset as a predetermined ratio based on positions of two eyes after aligning a center of the two eyes to be a reference point based on positions of the two eyes which are detected, and sets a position coordinate of a feature portion.

---

Claim 4:
4. The apparatus for recognizing the expression using the expression-gesture dictionary of claim 1 , wherein, when a collection of given weight values is referred to as A, the expression-gesture dictionary learner obtains a numerical value D of the expression-gesture dictionary by Equation 3, argmin D , Z ⁢  X - A · D  F 2 + Ω ⁡ ( Z ) ⁢ ⁢ s . t . ⁢ ⁢ D - Z = 0 , Ω ⁡ ( Z ) = ∑ k = 1 K ⁢ ∑ j = 1 M ⁢ Λ ki ⁢  z k ( j )  2 . [ Equation ⁢ ⁢ 3 ]