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ICCV
2005
IEEE
14 years 7 months ago
Evaluation of Features Detectors and Descriptors Based on 3D Objects
We explore the performance of a number of popular feature detectors and descriptors in matching 3D object features across viewpoints and lighting conditions. To this end we design...
Pierre Moreels, Pietro Perona
FGR
2004
IEEE
170views Biometrics» more  FGR 2004»
13 years 9 months ago
3D Shape Constraint for Facial Feature Localization Using Probabilistic-like Output
This paper presents a method to automatically locate facial feature points under large variations in pose, illumination and facial expressions. First we propose a method to calcul...
Longbin Chen, Lei Zhang, HongJiang Zhang, Mohamed ...
CVPR
2001
IEEE
14 years 7 months ago
Local Feature View Clustering for 3D Object Recognition
There have been important recent advances in object recognition through the matching of invariant local image features. However, the existing approaches are based on matching to i...
David G. Lowe
CVPR
2007
IEEE
14 years 7 months ago
3D Probabilistic Feature Point Model for Object Detection and Recognition
This paper presents a novel statistical shape model that can be used to detect and localise feature points of a class of objects in images. The shape model is inspired from the 3D...
Sami Romdhani, Thomas Vetter
ECCV
2006
Springer
14 years 7 months ago
High Accuracy Optical Flow Serves 3-D Pose Tracking: Exploiting Contour and Flow Based Constraints
Tracking the 3-D pose of an object needs correspondences between 2-D features in the image and their 3-D counterparts in the object model. A large variety of such features has been...
Thomas Brox, Bodo Rosenhahn, Daniel Cremers, Hans-...