Work

Maximum Detector Response Markers for SIFT and SURF

Year: 2009

Type: article

Abstract: In this paper, we introduce optimal markers to be used with the SIFT and SURF feature detectors. They can be applied to trigger the detection of feature points at desired locations. Unlike conventional marker systems, we do not propose a standalone solution comprising a set of markers and a thereto adapted detection algorithm. Instead, our markers are adapted to existing and established detectors. In particular, we introduce markers optimally suited for SIFT and SURF. We derive the optimal design and show their high detectability within a wide range of different imaging conditions in experiments on both synthetic and real data. 1

Authors: Florian Schweiger, Bernhard Zeisl, Pierre Georgel, Georg Schroth, Eckehard Steinbach, Nassir Navab

Institutions: Graz University of Technology, Siemens (Germany), Technical University of Munich

Language: English

Topic: Advanced Image and Video Retrieval Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W159087758

FWCI: 1.944

Cites: 10

Cited by: 27

Related to: 10