• Publications
  • Influence
Speeded-Up Robust Features (SURF)
A novel scale- and rotation-invariant detector and descriptor, coined SURF (Speeded-Up Robust Features), which approximates or even outperforms previously proposed schemes with respect to repeatability, distinctiveness, and robustness, yet can be computed and compared much faster. Expand
SURF: Speeded Up Robust Features
In this paper, we present a novel scale- and rotation-invariant interest point detector and descriptor, coined SURF (Speeded Up Robust Features). It approximates or even outperforms previouslyExpand
Wide-baseline stereo matching with line segments
A new method for matching line segments between two uncalibrated wide-baseline images by generating an initial set of line segment correspondences and iteratively increasing their number by adding matches consistent with the topological structure of the current ones. Expand
Interactive museum guide : fast and robust recognition of museum objects
In this paper, we describe the application of the novel SURF (Speeded Up Robust Features) algorithm [1] for the recognition of objects of art. For this purpose, we developed a prototype of a mobileExpand
Object Recognition for the Internet of Things
A system which allows to request information on physical objects by taking a picture of them, using a mobile phone with integrated camera, and which identifies an object from a query image through multiple recognition stages, including local visual features, global geometry, and optionally also metadata such as GPS location. Expand
Interactive museum guide
The prototype of an interactive museum guide that runs on a tablet PC that features a touchscreen, a webcam and a Bluetooth receiver that recognises objects on display in museums based on images of the latter taken directly by the visitor. Expand
This article presents a novel scale- and rotation-invariant detector and descriptor, coined SURF (Speeded-Up Robust Features). SURF approximates or even outperforms previously proposed schemes withExpand
Retina Mosaicing Using Local Features
This paper presents a core image processing element of a fully automatic laser photocoagulation system, namely a novel approach for retina mosaicing, which relies on recent developments in region detection and feature description to automatically fuse retina images. Expand
A new high-resolution processing method for the deconvolution of optical coherence tomography signals
  • T. Blu, H. Bay, M. Unser
  • Computer Science
  • Proceedings IEEE International Symposium on…
  • 7 November 2002
The quality of the estimation of the parameters (in particular the depth of the interfaces) is narrowly linked to the noise level of the OCT measures - and not to the coherence length of the source light - and to their degree of redundancy. Expand