In this paper we propose a new probabilistic relaxation framework to perform robust multiple motion estimation and segmentation from a sequence of images. Our approach uses displa...
In conventional tomography, the interior of an object is reconstructed from tomographic projections such as X-ray or electron microscope images. All the current reconstruction met...
Object localization using sensed data features and corresponding model features is a fundamental problem in machine vision. We reformulate object localization as a least squares p...
— To handle the mismatch problems of spatial-domain motion aligned temporal filtering (MATF) in providing spatial scalability, this paper presents a novel in-scale motion aligne...
In this study, an algorithm is proposed to solve the multi-frame structure from motion (MFSfM) problem for monocular video sequences in dynamic scenes. The algorithm uses the epip...
Evren Imre, Sebastian Knorr, A. Aydin Alatan, Thom...