Sort by:

• Highly Influential Citations
• Citations
• Acceleration
• Velocity
• Recency

Learn More

A Generative Shape Regularization Model for Robust Face Alignment

• Leon Gu, Takeo Kanade
• ECCV
• 2008

In this paper, we present a robust face alignment system that is capable of dealing with exaggerating expressions, large occlu-sions, and a wide variety of image noises. The robustness comes from our shape regularization model, which incorporates constrained nonlin-ear shape prior, geometric transformation, and likelihood of multiple candidate landmarks in… (More)

Robustly Aligning a Shape Model and Its Application to Car Alignment of Unknown Pose

• Yan Li, Leon Gu, Takeo Kanade
• IEEE Transactions on Pattern Analysis and Machine…
• 2011

Precisely localizing in an image a set of feature points that form a shape of an object, such as car or face, is called alignment. Previous shape alignment methods attempted to fit a whole shape model to the observed data, based on the assumption of Gaussian observation noise and the associated regularization process. However, such an approach, though able… (More)

A robust shape model for multi-view car alignment

• Yan Li, Leon Gu, Takeo Kanade
• 2009 IEEE Conference on Computer Vision and…
• 2009

We present a robust shape model for localizing a set of feature points on a 2D image. Previous shape alignment models assume Gaussian observation noise and attempt to fit a regularized shape using all the observed data. However, such an assumption is vulnerable to gross feature detection errors resulted from partial occlusions or spurious background… (More)

Face Alignment

• Leon Gu, Takeo Kanade
• Encyclopedia of Biometrics
• 2009

• ‹
• 1
• ›