This paper introduces variations on the template matching theme that extend its usefulness by providing invariance to mean intensity-level variations, certain geometric transformations and partial obscura-tions of the target object in the image. First order statistics of the pixel by pixel diierences between the template and the image are used as a match measure in order to provide invariance t...

Data-driven object tracking is very important for many vision based applications, because it does not require any previous knowledge about the object to be tracked. In the literature, template matching techniques have successfully been used to solve this task. One promising descendant of these techniques is the hyperplane approach, which is both fast and robust. Unfortunately, like other templa...

In rotation invariant template matching one wants to find finding from the given input image the locations that are similar to the given pattern template, so that the pattern may have any orientation. Template matching is an old but important problem in computer vision and pattern recognition, and thus there have also been many attempts to solve it. Most of the most succesful solutions so far c...

In the last decade, consumer graphics cards have increased their power because of the computer games industry. These cards are now programmable and capable of processing huge amounts of data in a SIMD fashion. In this work, we propose an alternative implementation of a very intuitive and well known 2D template matching, where the most computationally expensive task is accomplished by the graphi...

In image matching applications such as tracking and stereo matching, it is common to use the sum-of-squareddi erences (SSD) measure to determine the best match for an image template. However, this measure is sensitive to outliers and is not robust to template variations. We describe a robust measure and eÆcient search strategy for template matching with a binary or greyscale template using a ma...