Abstract: A method and system for detecting a source multifeatured three-dimensional object from two-dimensional source imagery, and for locating a best-matching three-dimensional object from a candidate database of such objects by performing a viewpoint and lighting invariant search among the candidate objects. The invention further includes the method and system for determining the optimally-fitting viewpoint, lighting, and deformation of the located three-dimensional candidate and basing an identification of the candidate with the source on the quality of fit between projections of the candidate and the source imagery.

Abstract: A method and system for characterizing features in a source multifeatured three-dimensional object and for locating a best-matching three-dimensional object from a reference database of such objects by performing a viewpoint invariant search among the reference objects. The invention further includes the creation of a three-dimensional representation of the source object by deforming a reference object.

Abstract: A method of generating a normalized image of a target head from at least one source 2D image of the head. The method involves estimating a 3D shape of the target head and projecting the estimated 3D target head shape lit by normalized lighting into an image plane corresponding to a normalized pose. The estimation of the 3D shape of the target involves searching a library of 3D avatar models, and may include matching unlabeled feature points in the source image to feature points in the models, and the use of a head's plane of symmetry. Normalizing source imagery before providing it as input to traditional 2D identification systems enhances such systems' accuracy and allows systems to operate effectively with oblique poses and non-standard source lighting conditions.

Abstract: A method and system for characterizing features in a source multifeatured three-dimensional object, and for locating a best-matching three-dimensional object from a reference database of such objects by performing a viewpoint invariant search among the reference objects. The invention further includes the creation of a three-dimensional representation of the source object by deforming a reference object.

Abstract: A facial identification system corrects lighting and pose in images prior to comparison with stored images. A three dimensional image is created from an original two dimensional image by combining the image with shape information. An iterative process is used to adjust the shape in order to match the original two dimensional image. A final image is rendered, with adjustments for lighting and pose, from the shape information.

Abstract: A method and system for generating an image database for multifeatured objects. The invention uses one or more three-dimensional representations of multifeatured objects of the same generic type as the object to be identified to generate as many images as desired. These images are used to populate an image database that may be used for training and/or identification purposes.

Abstract: A method of generating a normalized image of a target head from at least one source 2D image of the head. The method involves estimating a 3D shape of the target head and projecting the estimated 3D target head shape lit by normalized lighting into an image plane corresponding to a normalized pose. The estimation of the 3D shape of the target involves searching a library of 3D avatar models, and may include matching unlabeled feature points in the source image to feature points in the models, and the use of a head's plane of symmetry. Normalizing source imagery before providing it as input to traditional 2D identification systems enhances such systems' accuracy and allows systems to operate effectively with oblique poses and non-standard source lighting conditions.

Abstract: A method and system for detecting a source multifeatured three-dimensional object from two-dimensional source imagery, and for locating a best-matching three-dimensional object from a candidate database of such objects by performing a viewpoint and lighting invariant search among the candidate objects. The invention further includes the method and system for determining the optimally-fitting viewpoint, lighting, and deformation of the located three-dimensional candidate and basing an identification of the candidate with the source on the quality of fit between projections of the candidate and the source imagery.

Abstract: A method and system for generating an image database for multifeatured objects. The invention uses one or more three-dimensional representations of multifeatured objects of the same generic type as the object to be identified to generate as many images as desired. These images are used to populate an image database that may be used for training and/or identification purposes.

Abstract: A method and system for characterizing features in a source multifeatured three-dimensional object, and for locating a best-matching three-dimensional object from a reference database of such objects by performing a viewpoint invariant search among the reference objects. The invention further includes the creation of a three-dimensional representation of the source object by deforming a reference object.