Abstract:
A method and apparatus for cross-modal matching with polarimetric thermal image data is provided. According to one embodiment, the method comprises receiving a plurality of polarimetric thermal images of a face acquired by a polarimetric thermal imaging camera, extracting features of the face from each of the plurality of images to generate a plurality of feature vectors for each of the plurality of images, compositing the feature vectors for each of the plurality of images together to form composite feature vectors and cross-modally matching the composite feature vectors with other feature vectors, in order to determine whether the face matches a face represented by the other feature vectors.
Abstract:
A method and apparatus is provided for modeling a three-dimensional topological surface of an object acquiring, using a thermal imaging camera, a first image of the object, wherein the first image comprises a plurality of pixels each representative of at least one component of thermal data, calculating a normal vector for each pixel in the first image, corresponding to the normal vector on a surface of the object, generating a three-dimensional model representing a surface of the object based on aggregating the normal vector for each pixel together in the first image.
Abstract:
A method and apparatus is provided for modeling a three-dimensional topological surface of an object acquiring, using a thermal imaging camera, a first image of the object, wherein the first image comprises a plurality of pixels each representative of at least one component of thermal data, calculating a normal vector for each pixel in the first image, corresponding to the normal vector on a surface of the object, generating a three-dimensional model representing a surface of the object based on aggregating the normal vector for each pixel together in the first image.