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» Recognizing 3D Objects Using Photometric Invariant
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SMI
2005
IEEE
157views Image Analysis» more  SMI 2005»
14 years 3 months ago
3D Object Retrieval using Many-to-many Matching of Curve Skeletons
We present a 3D matching framework based on a many-to-many matching algorithm that works with skeletal representations of 3D volumetric objects. We demonstrate the performance of ...
Nicu D. Cornea, M. Fatih Demirci, Deborah Silver, ...
ECCV
2004
Springer
14 years 3 months ago
Pose Invariant Face Recognition Under Arbitrary Unknown Lighting Using Spherical Harmonics
Abstract. We propose a new method for face recognition under arbitrary pose and illumination conditions, which requires only one training image per subject. Furthermore, no limitat...
Lei Zhang 0002, Dimitris Samaras
DAGM
2005
Springer
14 years 3 months ago
Vision-Based 3D Object Localization Using Probabilistic Models of Appearance
The ability to accurately localize objects in an observed scene is regarded as an important precondition for many practical applications including automatic manufacturing, quality ...
Christian Plagemann, Thomas Müller, Wolfram B...
CVPR
2001
IEEE
14 years 11 months ago
3D Object Recognition from Range Images using Local Feature Histograms
This paper explores a view-based approach to recognize free-form objects in range images. We are using a set of local features that are easy to calculate and robust to partial occ...
Bastian Leibe, Bernt Schiele, Günter Hetzel, ...
CVPR
2008
IEEE
14 years 11 months ago
Viewpoint-independent object class detection using 3D Feature Maps
This paper presents a 3D approach to multi-view object class detection. Most existing approaches recognize object classes for a particular viewpoint or combine classifiers for a f...
Joerg Liebelt, Cordelia Schmid, Klaus Schertler