We propose a method for segmentation of frontal human portraits from arbitrary unknown backgrounds. Semantic information is used to project the face into a normalized reference fr...
David C. Schneider, Benjamin Prestele, Peter Eiser...
Abstract—This study investigates level set multiphase image segmentation by kernel mapping and piecewise constant modeling of the image data thereof. A kernel function maps impli...
We propose an effective image segmentation approach with a novel automatic boundary refinement procedure that requires little user interaction and makes the object cutout process ...
Dingding Liu, Yingen Xiong, Linda G. Shapiro, Kari...
Abstract. Optical coherence tomography (OCT) is a non-invasive, depth resolved imaging modality that has become a prominent ophthalmic diagnostic technique. We present an automatic...
Azadeh Yazdanpanah, Benjamin Smith 0002, Ghassan H...
Abstract. An N-dimensional image is divided into "object" and "background" segments using a graph cut approach. A graph is formed by connecting all pairs of nei...