Abstract: The same person is automatically recognized in different images from his or her clothing. Color pixel values of a first and second image are captures and areas are selected for a determination whether they show the same person. First histograms of pixels area are computed, representing sums of contributions from pixels with color values in histogram bins. Each histogram bin corresponds to a combination of a range of color values and a range of heights in the areas. The ranges of color values are normalized relative to a distribution of color pixel values in areas. Furthermore, second histograms of pixels in the areas are computed, the second histograms representing sums of contributions from pixels with color values in further histogram bins. The further histogram bins are at least partly unnormalized. First and second histogram intersection scores of the first and second histograms are computed. A combined detection score is computed from the first and second histogram scores.

Abstract: The same person is automatically recognized in different images from his or her clothing. Color pixel values of a first and second image are captures and areas are selected for a determination whether they show the same person. First histograms of pixels area are computed, representing sums of contributions from pixels with color values in histogram bins. Each histogram bin corresponds to a combination of a range of color values and a range of heights in the areas. The ranges of color values are normalized relative to a distribution of color pixel values in areas. Furthermore, second histograms of pixels in the areas are computed, the second histograms representing sums of contributions from pixels with color values in further histogram bins. The further histogram bins are at least partly unnormalized. First and second histogram intersection scores of the first and second histograms are computed. A combined detection score is computed from the first and second histogram scores.

Abstract: A system locates an edge of an object in a two- or three dimensional image, in particular a medical image. Through an input (310) a set of data elements is received representing values of elements of the image. The data set is stored in a storage (320). A processor (340) determines the edge of an object in the image. It calculates at least a first and/or second-order derivative of the data elements and isophote curvatures for the image identified by ?. It also determines a correction factor ? that corrects for dislocation of an edge caused by curvature of an object and/or blurring of the data. The correction factor ? depends on the isophote curvature ?. The processor then determines a zero crossing of an operator that depends on the calculated derivative and the isophote curvature. An output (330) of the system provides an indication of a location of an edge in the image.