Active models are widely used in applications like image segmentation and tracking. Region-based active models are known for robustness to weak edges and high computational comple...
Wei Yu, Franz Franchetti, Yao-Jen Chang, Tsuhan Ch...
Extraction of structures of interest in medical images is often an arduous task because of noisy or incomplete data. However, handsegmented data are often available and most of the...
— This paper describes a robotic system that learns visual models of symmetric objects autonomously. Our robot learns by physically interacting with an object using its end effec...
To segment a whole object from an image is an essential and challenging task in image processing. In this paper, we propose a hybrid segmentation algorithm which combines prior sh...
Abstract. Usually object segmentation and motion estimation are considered (and modelled) as different tasks. For motion estimation this leads to problems arising especially at th...