Adobe, Inc.

Hewlett-packard Development Company, L.P.

Vuong Le

Zhe Lin

Jonathan Worthen Brandt

Lubomir D Bourdev

John George Apostolopoulos

Kar-Han Tan

Wei Hong

According to an example, 3D modeling motion parameters may be simultaneously determined for video frames according to different first and second motion estimation techniques. In response to detecting a failure of the first motion estimation technique, the 3D modeling motion parameters determined according to the second motion estimation technique may be used to re-determine the 3D modeling motion parameters according to the first motion estimation technique.

3D modeling motion parameters

Various embodiments of methods and apparatus for feature point localization are disclosed. A profile model and a shape model may be applied to an object in an image to determine locations of feature points for each object component. Input may be received to move one of the feature points to a fixed location. Other ones of the feature points may be automatically adjusted to different locations based on the moved feature point.

Adjusting a contour by a shape model

Various embodiments of methods and apparatus for feature point localization are disclosed. An object in an input image may be detected. A profile model may be applied to determine feature point locations for each object component of the detected object. Applying the profile model may include globally optimizing the feature points for each object component to find a global energy minimum. A component-based shape model may be applied to update the respective feature point locations for each object component.

Fitting contours to features

Various embodiments of methods and apparatus for facial retouching are disclosed. In one embodiment, a face in an input image is detected. One or more transformation parameters for the detected face are estimated based on a profile model. The profile model is applied to obtain a set of feature points for each facial component of the detected face. Global and component-based shape models are applied to generate feature point locations of each facial component of the detected face.

Methods and apparatus for automated facial feature localization

Various embodiments of methods and apparatus for facial retouching are disclosed. In one embodiment, a face in an input image is detected. Independent sets of feature points are detected for respective facial feature components. A plurality of masks for each of the facial feature components is generated. Using the plurality of masks, retouch effects are performed to the facial feature components. Some embodiments provide for user interaction to constrain the mask generation.

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Urbana, IL, United States of America

Vuong Le