This paper describes an algorithm that efficiently groups line segments into perceptually salient contours in complex images. A measure of affinity between pairs of lines is used ...
A system is described for creating paper documents that show images of presentation slides and bar codes that point to a multimedia recording of a presentation that has not yet oc...
Classifying and analyzing human motion from a video is relatively common in many areas. Since the motion is carried out in 3D space, the 2D projection provided by a video is somew...
A rough texture modelling involves a huge image data-set - the Bidirectional Texture Function (BTF). This 6-dimensional function depends on planar texture coordinates as well as o...
In this project we consider the problem of tracking a soccer player using a static camera. The main goal is to find the position of players in the field at each instance of time t...
This paper discusses the wide baseline matching problem where the camera parameters are known up to an error factor and the ground surface is considered planar. Junctions of diffe...
The context-centered approach to object detection and recognition is based on the intuition that the contextual information of real-world scenes provides relevant information for ...
Collagen fiber bundles are important constituent parts of biological soft tissues, such as tendons, blood vessels and skin.The single collagen fibers within a bundle have a certai...
Gerhard Holzapfel, Horst Bischof, Pierre Elbischge...
In this paper we try to characterize a set of classification problems. For this, we use the disagreement between a set of standard classifiers. The disagreement patterns do not on...
David M. J. Tax, Elzbieta Pekalska, Robert P. W. D...
In this paper, Principal Component Analysis (PCA) is applied to the problem of Online Handwritten Character Recognition in the Tamil script. The input is a temporally ordered sequ...
A. G. Ramakrishnan, Sriganesh Madhvanath, V. Deepu