Abstract. We address the problem of detecting human figures in images, taking into account that the image of the human figure may be taken from a range of viewpoints. We capture ...
: The SIFT algorithm (Scale Invariant Feature Transform) proposed by Lowe [1] is an approach for extracting distinctive invariant features from images. It has been successfully app...
We consider the template matching problem, in which one wants to find all good enough occurrences of a pattern template P from a larger image I. The current standard of template m...
Camera shake leads to non-uniform image blurs. Stateof-the-art methods for removing camera shake model the blur as a linear combination of homographically transformed versions of ...
Michael Hirsch, Christian Schuler, Stefan Harmelin...
—We present iCluster, a fast and efficient algorithm that clusters a set of images while co-registering them using a parameterized, nonlinear transformation model. The output of...