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ISMAR
2005
IEEE
14 years 2 months ago
Adaptive Line Tracking with Multiple Hypotheses for Augmented Reality
We present a real-time model-based line tracking approach with adaptive learning of image edge features that can handle partial occlusion and illumination changes. A CAD (VRML) mo...
Harald Wuest, Florent Vial, Didier Stricker
IJCV
2007
174views more  IJCV 2007»
13 years 8 months ago
Automatic Panoramic Image Stitching using Invariant Features
This paper concerns the problem of fully automated panoramic image stitching. Though the 1D problem (single axis of rotation) is well studied, 2D or multi-row stitching is more di...
Matthew Brown, David G. Lowe
TIP
2008
142views more  TIP 2008»
13 years 8 months ago
Image Feature Localization by Multiple Hypothesis Testing of Gabor Features
Several novel and particularly successful object and object category detection and recognition methods based on image features, local descriptions of object appearance, have recent...
Jarmo Ilonen, Joni-Kristian Kamarainen, Pekka Paal...
CVPR
2006
IEEE
14 years 10 months ago
Multiple Object Class Detection with a Generative Model
In this paper we propose an approach capable of simultaneous recognition and localization of multiple object classes using a generative model. A novel hierarchical representation ...
Krystian Mikolajczyk, Bastian Leibe, Bernt Schiele
ECCV
2004
Springer
14 years 10 months ago
Multiple View Feature Descriptors from Image Sequences via Kernel Principal Component Analysis
Abstract. We present a method for learning feature descriptors using multiple images, motivated by the problems of mobile robot navigation and localization. The technique uses the ...
Jason Meltzer, Ming-Hsuan Yang, Rakesh Gupta, Stef...