Abstract: A biometric sensing device is operatively connected to a processing channel. The processing channel can include one or more variable gain amplifiers and/or one or more variable offset circuits. The signal levels associated with a section of a biometric image can be reconstructed using a digitized section of the biometric image and a particular gain and/or a particular offset value used in the processing channel to process the digitized section of the biometric image. The reconstructed sections of the biometric image can be combined to form a reconstructed biometric image. Additional processing operations can be performed on the reconstructed biometric image.

Abstract: Techniques for implementing face-based authentication with situational adaptivity are provided. In one embodiment, a computing device can create an enrollment template for a user, the enrollment template being derived from one or more enrollment images of the user's face and being usable by a face-based authentication system to authenticate the user's identity. The computing device can further determine a first set of metadata associated with the enrollment image(s) and can store the first set of metadata with the enrollment template. At a later time (e.g., an authentication event), the computing device can capture an input image of the user's face, determine a second set of metadata associated with the input image, and calculate a computational distance between the input image and the enrollment template, the calculating taking into account a degree of difference between the first and second sets of metadata. Finally, the user can be authenticated based on the distance.

Abstract: The present invention provides techniques for efficient searching of a multi-modal biometric database. Nested searching improves search efficiency by using the results of a previous biometric modality search to limit the search population for subsequent biometric searches. The method can also be used in combinations of non-biometric searches limiting subsequent biometric searches or vice versa.

Abstract: An objective is to enable calculation of a distribution of a physical property such as a density inside a measurement object, even when the distribution of the physical property value is non-uniform, within a feasible period of time without causing image deterioration due to phenomena such as refraction and multiple-reflections caused by the non-uniformity.

Abstract: An image processor sets a first predetermined number of first blocks at first intervals in a second image, calculates a first evaluated value, selects one of the first blocks, and calculates a first parallax between the selected first block and the matching target block. An image processor sets a second predetermined number of second blocks at second intervals in a second image, calculates a second evaluated value, selects one of the second blocks, and calculates a second parallax between the selected second block and the matching target block. A controller determines, based on the first evaluated value and the second evaluated value and based on the first parallax and the second parallax, whether or not to employ one of the first parallax and the second parallax.

Abstract: Systems and methods for tracking a head position of a user include obtaining digital images of the user's head, processing the images to locate anatomical structures beneath the visible surface, and using those determined locations as inputs to a computing device. In an embodiment, images of a user's face are processed to identify the irises of the eyes, identify pixels along a boundary between each iris and the surrounding sclera, determine an ellipse defined by the identified iris-sclera boundary pixels, determine a distance-to-pixel ratio based on a pixel length of a long axis of such an ellipse compared to a known or presumed diameter of the iris, locating the iris in a three-axis coordinate system, determining an optical axis vector of the eye in the three-axis coordinate system, and calculating a center of the eyeball based on the optical axis vector and a known or presumed eyeball radius.

Abstract: Techniques are disclosed relating to automatically adjusting images. In one embodiment, an image may be automatically adjusted based on a regression model trained with a database of raw and adjusted images. In one embodiment, an image may be automatically adjusted based on a model trained by both a database of raw and adjusted images and a small set of images adjusted by a different user. In one embodiment, an image may be automatically adjusted based on a model trained by a database of raw and adjusted images and predicted differences between a user's adjustment to a small set of images and a predicted adjustment based on the database of raw and adjusted images.

Abstract: The invention teaches a method of positioning a first image having a first image format into a second image comprising multiple image blocks and having a second image format. A straight boundary of at least one image block in the second image is identified. The first image is positioned into the second image by aligning an edge of the first image with the identified straight boundary. Alternatively, a block row or column of the first image can be aligned with the straight boundary but then in such a way that an edge of the first image parallel to the block row or column is aligned with a boundary of a row or column of image blocks in the second image. This image positioning reduces any bleeding artifacts and the number of bits required for representing the image during encoding.