Multi-observer segmentation evaluation is useful in the imaging community. We have developed a web-based software application for automatic performance evaluation of multiple imag...
Yaoyao Zhu, Xiaolei Huang, Daniel P. Lopresti, L. ...
Abstract – We present a method for quickly determining the minimum distance between multiple known and multiple unkown objects within a camera image. Known objects are objects wi...
This paper presents a new framework for multiple object segmentation in medical images that respects the topological properties and anatomical relationships of structures as given...
This paper describes a framework for constructing a linear subspace model of image appearance for complex articulated 3D figures such as humans and other animals. A commercial mo...
Hedvig Sidenbladh, Fernando De la Torre, Michael J...
We are motivated by a recently developed nonlinear inverse scale space method for image denoising [5, 6], whereby noise can be removed with minimal degradation. The additive noise ...