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
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.