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» Learning Models for Object Recognition
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ICCV
2009
IEEE
16 years 2 months ago
Detecting Interpretable and Accurate Scale-Invariant keypoints
This paper presents a novel method for detecting scale invariant keypoints. It fills a gap in the set of available methods, as it proposes a scale-selection mechanism for juncti...
Wolfgang F¨orstner, Timo Dickscheid, Falko Schind...
CVPR
2001
IEEE
15 years 12 months ago
Constructing Facial Identity Surfaces in a Nonlinear Discriminating Space
Recognising face with large pose variation is more challenging than that in a fixed view, e.g. frontal-view, due to the severe non-linearity caused by rotation in depth, selfshadi...
Yongmin Li, Shaogang Gong, Heather M. Liddell
ECCV
2004
Springer
15 years 11 months ago
Detecting Keypoints with Stable Position, Orientation, and Scale under Illumination Changes
Local feature approaches to vision geometry and object recognition are based on selecting and matching sparse sets of visually salient image points, known as `keypoints' or `p...
Bill Triggs
KES
2005
Springer
15 years 3 months ago
3-D Building Reconstruction Using IKONOS Multispectral Stereo Images
This paper presents an effective strategy to extract the buildings and to reconstruct 3-D buildings using high-resolution multispectral stereo satellite images. Proposed scheme con...
Hong-Gyoo Sohn, Choung-Hwan Park, Joon Heo
ISMAR
2003
IEEE
15 years 3 months ago
Fully Automated and Stable Registration for Augmented Reality Applications
We present a fully automated approach to camera registration for Augmented Reality systems. It relies on purely passive vision techniques to solve the initialization and realtime ...
Vincent Lepetit, Luca Vacchetti, Daniel Thalmann, ...