Abstract: A method for producing light-guide optical elements (LOEs) (16, 18, 56, 58) each having a set of mutually-parallel partially-reflecting surfaces (17) located between, and oriented non-parallel to, a pair of major external surfaces, and at least one region (30a, 30b, 30c) without partially-reflecting surfaces. The method includes bonding together parallel-faced plates (4) at interfaces to form a stack (42) of plates with partially-reflecting coatings between them. The stack is cut and polished to form a boundary plane (48, 48a, 48b) intersecting the interfaces, and a block (50, 50a, 50b) of transparent material is bonded to the stack. The resulting precursor structure (52, 52?) is sliced along parallel planes to form slices, each containing a part of the stack for the active region of the LOE and a part of the block.

Abstract: In accordance with one embodiment, a method to track persons includes generating a first and second set of facial coefficient vectors by: (i) providing a first and second image containing a plurality of persons; (ii) locating faces of persons in each image; and (iii) generating a facial coefficient vector for each face by extracting from the images coefficients sufficient to locally identify each face, then tracking the persons within the images, the tracking including comparing the first set of facial coefficient vectors to the second set of facial coefficient vectors to determine for each person in the first image if there is a corresponding person in the second image. Optically the method includes using estimated locations in combination with the vector distance between facial coefficient vectors to track persons.

Abstract: A method for identifying an object based at least in part on a reference database including two-dimensional images of objects includes the following steps: (a) providing a three-dimensional model reference database containing a plurality of estimated three-dimensional models, wherein each estimated three-dimensional model is derived from a corresponding two-dimensional image from the two-dimensional reference database; (b) sampling at least one image of an object to be identified; (c) implementing at least one identification process to identify the object, the identification process employing data from the three-dimensional model reference database.

Abstract: A system and method for detection, tracking, classification, and/or identification of a moving object from a moving sensor uses a three-dimensional (3D) model. The system facilitates generation of a 3D model using images from a variety of sensors, in particular passive two-dimensional (2D) image capture devices. 2D images are processed to determine viewpoint and find moving objects in the 2D images. Conventional techniques or an innovative technique can be used to find segments of 2D images having moving objects. Viewpoint and segment information is used for generation of a 3D model of an object, in particular using both object motion and sensor motion to generate the 3D model.

Abstract: In accordance with one embodiment, a method to track persons includes generating a first and second set of facial coefficient vectors by: (i) providing a first and second image containing a plurality of persons; (ii) locating faces of persons in each image; and (iii) generating a facial coefficient vector for each face by extracting from the images coefficients sufficient to locally identify each face, then tracking the persons within the images, the tracking including comparing the first set of facial coefficient vectors to the second set of facial coefficient vectors to determine for each person in the first image if there is a corresponding person in the second image. Optically the method includes using estimated locations in combination with the vector distance between facial coefficient vectors to track persons.

Abstract: A method for identifying an object based at least in part on a reference database including two-dimensional images of objects includes the following steps: (a) providing a three-dimensional model reference database containing a plurality of estimated three-dimensional models, wherein each estimated three-dimensional model is derived from a corresponding two-dimensional image from the two-dimensional reference database; (b) sampling at least one image of an object to be identified; (c) implementing at least one identification process to identify the object, the identification process employing data from the three-dimensional model reference database.