Unsupervised clustering is a powerful technique for understanding multispectral and hyperspectral images, being k-means one of the most used iterative approaches. It is a simple th...
A fully automatic 3D-2D articulated registration algorithm for aligning a whole-body human geometry to a 2D X-ray image is presented. Domain prior in the form of a hierarchical mo...
We explore connections between digital libraries and interactive document image analysis. Digital libraries can provide useful data and metadata for research in automated document...
Motivated by the hierarchical multiscale image representation of Tadmor et al.,1 we propose a novel integrodifferential equation (IDE) for a multiscale image representation. To th...
Vanishing points provide valuable information regarding the camera model used to capture an image. To explore the relationship between classes of camera models and the location of...