Abstract:
A method for immediately determining incorrect pixel values of a captured image on an optical mouse, which determines a quality of an image in a video stream captured by the optical mouse and accordingly finds a motion distance for the optical mouse. The method first computes a set of match values for possible motion vectors of a sample image with respect to a reference image and applies a filtering operation to compute a respective smooth coefficient for each match value. The method further computes a locally minimum number in the set of match values according to a first rule, such that the sample image is regarded as a qualified image when the locally minimum number is smaller than a threshold and accordingly a global minimum in the set of match values is found as a motion vector of the sample image.
Abstract:
An optimal correlation matching method for determining track behavior, which applies a video stream having a first image and a second image for locating a motion vector associated with a block of the first image in the second image, wherein each image has a plurality of blocks in rows and columns and each block has a plurality of pixels in rows and columns. The method divides a search window into a plurality of search subdivisions, selects one from the subdivisions as an operating search window, locates a center of a block respectively at all positions of the operating search window such that upon each position of the center located, pixels of the block of the first image in accordance with the operating search window are applied to corresponding pixels of the second image for performing match operation, thereby reducing required number for match operation.
Abstract:
A method for immediately determining incorrect pixel values of a captured image on an optical mouse, which determines a quality of an image in a video stream captured by the optical mouse and accordingly finds a motion distance for the optical mouse. The method first computes a set of match values for possible motion vectors of a sample image with respect to a reference image and applies a filtering operation to compute a respective smooth coefficient for each match value. The method further computes a locally minimum number in the set of match values according to a first rule, such that the sample image is regarded as a qualified image when the locally minimum number is smaller than a threshold and accordingly a global minimum in the set of match values is found as a motion vector of the sample image.