Abstract: A system and method, called Image-Based Surface Detail Transfer, to transfer geometric details from one surface of an object in an image to another with simple 2D image operations. The basic observation is that, without knowing its 3D geometry, geometric details (local deformations) can be extracted from a single image of an object in a way independent of its surface reflectance, and furthermore, these geometric details can be transferred to modify the appearance of other objects directly in images. Examples are shown including surface detail transfer between real objects, as well as between real and synthesized objects.

Abstract: An image processing system utilizing block selection processing. According to the system, pixel data of an image is input and block selection processing is performed on the input pixel data to determine types of pixels within the image. It is then determined, based on the block selection processing, if a pixel is in an object area of the image and, if the pixel is determined to be in an object area of the image, the pixel is processed. Such processing may include detecting a proximity of the pixel to an edge, detecting a chromaticity of the pixel and detecting a width of a character in which the pixel is included.

Abstract: An edge inspection method for detecting defects on a wafer edge normal surface includes acquiring a set of digital images which captures a circumference of the wafer. An edge of the wafer about the circumference is determined. Each digital image is segmented into a plurality of horizontal bands. Adjacent edge clusters about the circumference of the wafer are combined into edge pixel bins. The edge pixel bins are analyzed via edge clusters analysis to identify defects. The edge pixel bins are also analyzed via blob analysis to determine defects.

Abstract: A system and method for increasing image resolution in a palm print scanner. The method of the invention requires the synchronization of a nutating mirror with a camera frame sync. A first image is scanned at a first nutation position. The mirror is nutated by a fraction of a pixel amount in one direction. Another image is scanned at a second nutation position. The process of nutating the mirror to a different nutation position and scanning an image is repeated until all sub-pixels needed to increase an image resolution are obtained. All of the sub-pixels obtained are then interlaced to obtain a higher resolution image.

Abstract: Approximate position matching processing is firstly performed with respect to entire areas of two images of a single same object. Selection is then made to find local area limited regions, between which a degree of shift is high, in the two images, whose positions have been approximately matched with each other by the approximate position matching processing. Position re-matching processing is then performed with respect to at least the local area limited regions, which have thus been selected. The approximate position matching processing may be global position matching processing, local position matching processing, or a combination of the global position matching processing and the local position matching processing.