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...
— This paper makes new contributions in motion detection, object segmentation and trajectory estimation to create a successful object tracking system. A new efficient motion det...
We present a novel categorical object detection scheme that uses only local contour-based features. A two-stage, partially supervised learning architecture is proposed: a rudiment...
Abstract. This paper describes a method for automatic contour detection in long-axis cardiac MRI using an adaptive virtual exploring robot. The robot is a simulated trained virtual...
Mark Blok, Mikhail G. Danilouchkine, Cor J. Veenma...
Abstract. Automatic liver segmentation from abdominal computed tomography (CT) images is one of the most important steps for computeraided diagnosis (CAD) for liver CT. However, th...