We present a method to learn and recognize object class models from unlabeled and unsegmented cluttered scenes in a scale invariant manner. Objects are modeled as flexible constel...
While many methods exist for visualising scalar and vector data, visualisation of tensor data is still troublesome. We present a method for visualising second order tensors in thr...
Andreas Sigfridsson, Tino Ebbers, Einar Heiberg, L...
This paper presents a generative model based approach to man-made structure detection in 2D natural images. The proposed approach uses a causal multiscale random field suggested i...
The Usable Image project provides usability and user-centred design support to a scientific software development project. OMERO is a complex software application aimed at supporti...
David Sloan, Catriona Macaulay, Paula Forbes, Scot...
Convenient reconstruction of natural plants is a difficult task because of their intrinsic complex geometry. In this paper, we propose a convenient image-based approach to modeli...