Image matching has been a central research topic in computer vision over the last decades. Typical approaches to correspondence involve matching features between images. In this pa...
ks: Abstraction and Rendering of Sparsely Scanned Outdoor Environments Hui Xu, Nathan Gossett and Baoquan Chen University of Minnesota Digital Technology Center at Twin Cities † ...
A new framework of compressive sensing (CS), namely statistical compressive sensing (SCS), that aims at efficiently sampling a collection of signals that follow a statistical dist...
Predicting human occupations in photos has great application potentials in intelligent services and systems. However, using traditional classification methods cannot reliably dis...
Modeling representations of image patches that are quasi-invariant to spatial deformations is an important problem in computer vision. In this paper, we propose a novel concept, t...
Jan Ernst, Maneesh Kumar Singh, Visvanathan Ramesh