Data products generated from remotely-sensed, geospatial imagery (RSI) used in emerging areas, such as global climatology, environmental monitoring, land use, and disaster managem...
This paper describes a snapshot-based interface for networked appliances operations that allows users to store and reproduce the conditions of media contents in those appliances b...
With the advances in medical imaging devices, large volumes of high-resolution 3D medical image data have been produced. These high-resolution 3D data are very large in size, and ...
Abstract—Models that can efficiently, compactly, and semantically represent potential users are important tools for human-robot interaction applications. We model a person as a p...
Quantifying the motion and deformation of large numbers of cells through image sequences obtained with fluorescence microscopy is a recurrent task in many biological studies. Aut...
Oleh Dzyubachyk, Wiro J. Niessen, Erik H. W. Meije...
A new localized and computationally efficient approach is presented for shift/space-variant image restoration. Unlike conventional approaches, it models shift-variant blurring in...
We propose a novel framework to reconstruct the left ventricle (LV)’s 3D surface from sparse tagged-MRI (tMRI). First we acquire an initial surface mesh from a dense tMRI. Then ...
In live-cell fluorescence microscopy imaging, quantitative analysis of biological image data generally involves the detection of many subresolution objects, appearing as diffract...
Ihor Smal, Marco Loog, Wiro J. Niessen, Erik H. W....
Although widely studied for many years, colour quantisation remains a practical problem in image processing. Unlike previous works where the image can only be quantised after the ...