—Traditional optical flow algorithms rely on consecutive short-exposed images. In this work, we make use of an additional long-exposed image for motion field estimation. Long-e...
Anita Sellent, Martin Eisemann, Bastian Goldlü...
Abstract—In this paper, three approaches to utilizing objectlevel spatial contextual information for semantic image analysis are presented and comparatively evaluated. Contextual...
Georgios Th. Papadopoulos, Carsten Saathoff, Hugo ...
The goal of object category discovery is to automatically identify groups of image regions which belong to some new, previously unseen category. This task is typically performed i...
Carolina Galleguillos, Brian McFee, Serge Belongie...
Abstract--This paper introduces and comprehensively evaluates a new approach for classification of image regions. It is based on the so called wavelet standard deviation descriptor...
Unconstrained face recognition is the problem of deciding if an image pair is showing the same individual or not, without having class specific training material or knowing anythi...
The 2.1D sketch is a layered representation of occluding and occluded surfaces of the scene. Extracting the 2.1D sketch from a single image is a difficult and important problem ar...
Abstract— Navigating through unknown outdoor environments requires a robot to be able to see and model the far field terrain. In recent years this problem of seeing beyond relia...
Constrained parameterization is an effective way to establish texture coordinates between a 3D surface and an existing image or photograph. A known drawback to constrained paramet...
Yu-Wing Tai, Michael S. Brown, Chi-Keung Tang, Heu...
Edge-based and region-based active contours are frequently used in image segmentation. While edges characterize small neighborhoods of pixels, region descriptors characterize entir...
Cristina Darolti, Alfred Mertins, Christoph Bodens...