This paper presents a novel illumination technique for image processing in environmentswhich are characterized by large intensity fluctuations and hence a high optical dynamic ra...
A method to correspond linear structures in mammographic images is presented. Our approach is based on automatically establishing correspondence between linear structures which ap...
Robert Marti, Reyer Zwiggelaar, Caroline M. E. Rub...
The articulate motion of the hand makes it very difficult to track the hands while performing a gesture. Simultaneous tracking of both hands needs to deal with large interframe v...
James P. Mammen, Subhasis Chaudhuri, Tushar Agrawa...
This paper investigates the task of identifying frequently-used pathways from video sequences of natural outdoor scenes. Path models are adaptively learnt from the accumulation of...
In this paper we present a system that combines the benefits of 3D deformable models and level set methods for medical volume segmentation. Our 3D deformable model is a very comp...
Derek R. Magee, Andrew J. Bulpitt, Elizabeth Berry
This paper addresses the problem of using appearance and motion models in classifying and tracking objects when detailed information of the object’s appearance is not available....
Visual interpretation of events requires both an appropriate representation of change occurring in the scene and the application of semantics for differentiating between different...
In this paper, we propose a practical object recognition system which consists of two functional modules. The first is object extraction module using a range image, and the second...
The HLS colour space is widely used in image analysis as it is physically intuitive. As the hue component of this space is defined on the unit circle, standard greyscale image an...
This paper extends 2D Active Shape Models to 2D+time by presenting a method for modelling and segmenting spatio-temporal shapes (ST-shapes). The modelling part consists of constru...