2D-Nuclear magnetic resonance (NMR) spectroscopy is a powerful analytical method to elucidate the chemical structure of molecules. In contrast to 1D-NMR spectra, 2D-NMR spectra cor...
This paper presents a novel approach for detection and segmentation of generic shapes in cluttered images. The underlying assumption is that generic objects that are man made, fre...
This paper revisits the classical problem of detecting interest points, popularly known as "corners," in 2D images by proposing a technique based on fitting algebraic sh...
Object pose (location and orientation) estimation is a
common task in many computer vision applications. Although
many methods exist, most algorithms need manual
initialization ...
Marcel Germann, Michael D. Breitenstein, In Kyu Pa...
Most computational engineering based loosely on biology uses continuous variables to represent neural activity. Yet most neurons communicate with action potentials. The engineerin...