METHOD FOR GENERATING INTUITIVE QUASI-EIGEN FACES

Patent №

US 7,535,472

Granted

2009-05-19

Filed 2006

Owner

SEOUL NATIONAL UNVERSITY

+1 more

Lab

AI components

1

vision

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

11398987

In blendshape-based facial animation, two main approaches are used to create the key expressions: manual sculpting and statistically-based techniques. Hand-generated expressions have the advantage of being intuitively recognizable, thus allowing animators to use conventional keyframe control. However, they may cover only a fraction of the expression space, resulting in large reproduction animation errors. On the other hand, statistically-based techniques produce eigenfaces that give minimal reproduction errors but are visually non-intuitive. In the invention the applicants propose a technique to convert a given set of hand-generated key expressions into another set of so-called quasi-eigen faces. The resulting expressions resemble the original hand-generated expressions, but have expression space coverages more like those of statistically generated expression bases. The effectiveness of the proposed technique is demonstrated by applying it to hand-generated expressions.

AI classification

Vision1.00
Machine learning0.12
AI hardware0.11
Natural language0.09
Speech0.00
Evolutionary computation0.00
Knowledge representation0.00
Planning0.00

Ownership

SEOUL NATIONAL UNVERSITY

assignment · 177680698

SEOUL NATIONAL UNIVERSITY INDUSTRY FOUNDATION

assignment · 182770657

Assignors

KIM, IG-JAE, KO, HYEONG-SEOX

On an employer assignment, the assignors are typically the inventors.

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