Abstract:
The present invention relates to a method and apparatus for long-range facial and ocular acquisition. One embodiment of a system for acquiring an image of a subject's facial feature(s) includes a steerable telescope configured to acquire the image of the facial feature(s), a first computational imaging element configured to minimize the effect of defocus in the image of the facial feature(s), and a second computational imaging element configured to minimize the effects of motion blur. In one embodiment, the detecting, the acquiring, the minimizing the effect of the motion, and the minimizing the effect of the defocus are performed automatically without a human input.
Abstract:
A method and apparatus are provided for determining or estimating the focal length of a camera based on a series of images captured by the camera. In one embodiment, a method for determining focal length includes obtaining a plurality of images of a three-dimensional scene from the camera, matching feature points across a subset of the images, deriving a projective reconstruction from the feature point matching, and finally recovering a metric reconstruction from the projective reconstruction in accordance with semidefinite programming. Once the metric reconstruction is recovered, the camera's intrinsic parameters, including focal length, can be estimated.
Abstract:
The present invention relates to a method and apparatus for long-range facial and ocular acquisition. One embodiment of a system for acquiring an image of a subject's facial feature(s) includes a steerable telescope configured to acquire the image of the facial feature(s), a first computational imaging element configured to minimize the effect of defocus in the image of the facial feature(s), and a second computational imaging element configured to minimize the effects of motion blur. In one embodiment, the detecting, the acquiring, the minimizing the effect of the motion, and the minimizing the effect of the defocus are performed automatically without a human input.
Abstract:
A system for facial recognition, consisting of a global database of facial characteristics of known users, a server which accepts from registration pictures taken on a user's camera device, accepts and processes training pictures and videos of other users to enable algorithm improvement, and a static camera which processes user pictures to determine whether the user is a known user or not based on the global database and a local database associated with each static camera.
Abstract:
A shelf comprising a sensing assembly and a base assembly, further wherein: the sensing assembly comprises a plurality of lanes, each of the plurality of lanes comprising at least one sensing plate coupled to a plurality of load cells, the plurality of load cells coupled to the at least one sensing plate and the base assembly, and the plurality of load cells located within a measurement section.