Abstract: The invention provides a method, system, and program product for transforming a multi-dimensional biometric feature point set. More particularly, the invention provides a method for transforming a biometric image using surface folding of the image. In one embodiment, the invention provides a method for transforming a multi-dimensional biometric feature point set, the method comprising: converting the multi-dimensional biometric feature point set to a canonical position and orientation; applying a non-invertible transform function to each of a plurality of points of the biometric feature point set; and providing a transformed biometric feature point set comprising a plurality of transformed points.

Abstract: The system and method obscures descriptive image information about one or more images. The system comprises a selector for selecting the descriptive image information from one or more of the images, a transformer that transforms the descriptive information into a transformed state, and an authorizer that provides authorization criteria with the image. In a preferred embodiment, the transformed state is the respective image encoded with the descriptive information. The descriptive information can be obscured so that the descriptive information in the transformed state can be decoded only if one or more authorization inputs satisfy the authorization criteria.

Abstract: There is provided an apparatus, method, and program storage device for representing biometrics. The apparatus includes a biometric feature extractor and a transformer. The biometric feature extractor is for extracting features corresponding to a biometric depicted in an image, and for defining one or more sets of one or more geometric shapes by one or more of the features. Each of the one or more geometric shapes has one or more geometric features that is invariant with respect to a first set of transforms applied to at least a portion of the image. The transformer is for applying the first set of transforms to the at least a portion of the image to obtain one or more feature representations that include one or more of the one or more geometric features, and for applying a second set of transforms to the one or more feature representations to obtain one or more transformed feature representations.

Abstract: A method and system is provided to provide enrollment of biometric data from individuals without the need for the enrollees to travel to a central location. The system and method provides for optionally detecting multiple types of biometric data, for example, fingerprints, facial scan, visual scan, iris scan, voice scan, or the like, to be captured at the point of enrollee use. During the biometric capture process, the biometric enrollment device monitors and establishes the identity of the enrollee and measures the quality of the biometric input as it occurs. If unacceptable quality is detected, then repeated biometric scans may be necessary, but is done at time of enrollment avoiding any need to send inaccurate information back to a service institution. When the enrollment process completes, the biometric data is encrypted, time stamped and either mailed back to the service institution or is transmitted back.

Abstract: A system and method to estimate the absolute coarse pose of a rigid body, and more specifically of an individual's head as captured by overhead wide-angle cameras, by integrating position and pose information. Position information ideally includes three-dimensional position information provided by range finders or derived from images captured by multiple cameras. The three-dimensional position information can additionally be employed to determine the anchored viewing ray for the object.

Abstract: A system and method for selectively monitoring movement of one or more objects having one or more object attributes in a three dimensional space. The method is achieved by following the steps of detecting a position of the one or more objects in the three dimensional space by collecting information from one or more static sensors; selecting each detected object for monitoring; uniquely identifying selected objects and assigning one or more variable sensors to monitor the uniquely identified object. The method further requires gathering information from the variable sensors for each identified object; detecting a direction of each identified object in the three dimensional space; and controlling the one or more variable sensors to continuously point to the assigned uniquely identified object.