Fingerprints are being extensively used for person identification in a number of commercial, civil, and forensic applications. Most of the current fingerprint verification systems utilize features that are based on minutiae points and ridge patterns. While minutiae based fingerprint verification systems have shown fairly high accuracies, further improvements in their performance are needed for ...

The Digital Research Infrastructure for the Arts and Humanities-project (Dariah-DE) is dedicated to evaluate information retrieval technologies for research infrastructures of social, humanand cultural studies like universities. One on of the main project-participants is the Salomon-Ludwig-Steinheim Institute of German-Jewish-History which documents Hebraic tombstones as a part of Jewish histor...

Selective ion flow tube mass spectrometry (SIFT-MS) is a direct mass spectrometric technique that allows qualitative and quantitative analysis of a large number of volatile organic compounds. Because of its speed and ease of use, this nondestructive technique could be considered as a practical tool for quality control. This research focuses on the possibilities of direct headspace sampling by S...

The Aim of this project is to produce a fully comprehensive software library which implements previous work by David G. Lowe on the subject of the Scale Invariant Feature Transform (SIFT). As background knowledge, this dissertation presents a brief introduction of image matching and a thorough review of image feature detectors and descriptors. Furthermore, documents produced in every stage of s...

This note is devoted to a mathematical exploration of whether Lowe’s Scale-Invariant Feature Transform (SIFT) [21], a very successful image matching method, is similarity invariant as claimed. It is proved that the method is scale invariant only if the initial image blurs is exactly guessed. Yet, even a large error on the initial blur is quickly attenuated by this multiscale method, when the sc...

Existing algorithms based on scale invariant feature transform (SIFT) and Harris corners such as edge-driven dual-bootstrap iterative closest point and Harris-partial intensity invariant feature descriptor (PIIFD) respectivley have been shown to be robust in registering multimodal retinal images. However, they fail to register color retinal images with other modalities in the presence of large ...

Run No. Run ID Run Description infMAP (%) training on TV08 data 1 IUPR-TV-M SIFT visual words with maximum entropy 6.1 2 IUPR-TV-MF SIFT with maximum entropy, fused with color+texture and motion (NN matching) 5.9 3 IUPR-TV-S SIFT visual words with SVMs 5.3 4 IUPR-TV-SF SIFT with SVMs, fused with color+texture and motion (NN matching) 6.3 training on YouTube data (no use of standard training set...

The Informedia group participated in three tasks this year, including: Multimedia Event Detection (MED), Semantic Indexing (SIN) and Surveillance Event Detection. Generally, all of these tasks consist of three main steps: extracting feature, training detector and fusing. In the feature extraction part, we extracted a lot of low-level features, high-level features and text features. Especially, ...