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ICCV
2005
IEEE
14 years 10 months ago
Local Features for Object Class Recognition
In this paper we compare the performance of local detectors and descriptors in the context of object class recognition. Recently, many detectors / descriptors have been evaluated ...
Krystian Mikolajczyk, Bastian Leibe, Bernt Schiele
CVIU
2008
144views more  CVIU 2008»
13 years 8 months ago
Speeded-Up Robust Features (SURF)
This article presents a novel scale- and rotation-invariant detector and descriptor, coined SURF (Speeded-Up Robust Features). SURF approximates or even outperforms previously pro...
Herbert Bay, Andreas Ess, Tinne Tuytelaars, Luc J....
ICRA
2010
IEEE
108views Robotics» more  ICRA 2010»
13 years 6 months ago
Visual landmark generation and redetection with a single feature per frame
— In this paper we show that visual landmark generation and redetection is possible with a single feature per frame. The approach is based on the assumption that highly discrimin...
Simone Frintrop, Armin B. Cremers
CLEF
2009
Springer
13 years 6 months ago
Identification of Narrative Peaks in Video Clips: Text Features Perform Best
A methodology is proposed to identify narrative peaks in video clips. Three basic clip properties are evaluated which reflect on video, audio and text related features in the clip....
Joep J. M. Kierkels, Mohammad Soleymani, Thierry P...
PR
2007
192views more  PR 2007»
13 years 7 months ago
Face detection with boosted Gaussian features
Detecting faces in images is a key step in numerous computer vision applications, such as face recognition or facial expression analysis. Automatic face detection is a difficult ...
Julien Meynet, Vlad Popovici, Jean-Philippe Thiran