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» Recognizing 3D Objects Using Photometric Invariant
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77
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ICCV
2009
IEEE
16 years 2 months ago
Learning a dense multi-view representation for detection, viewpoint classification and synthesis of object categories
Recognizing object classes and their 3D viewpoints is an important problem in computer vision. Based on a partbased probabilistic representation [31], we propose a new 3D object...
Hao Su, Min Sun, Li Fei-Fei, Silvio Savarese
75
Voted
CVPR
2005
IEEE
15 years 11 months ago
Indexing with Unknown Illumination and Pose
The task of identifying 3D objects in 2D images is difficult due to variation in objects' appearance with changes in pose and lighting. The task is further complicated by the...
Ira Kemelmacher, Ronen Basri
72
Voted
PAMI
2008
160views more  PAMI 2008»
14 years 9 months ago
Parametric Image Alignment Using Enhanced Correlation Coefficient Maximization
In this work, we propose the use of a modified version of the correlation coefficient as a performance criterion for the image alignment problem. The proposed modification has the ...
Georgios D. Evangelidis, Emmanouil Z. Psarakis
ICCV
1999
IEEE
15 years 11 months ago
Object Recognition from Local Scale-Invariant Features
Proc. of the International Conference on Computer Vision, Corfu (Sept. 1999) An object recognition system has been developed that uses a new class of local image features. The fea...
David G. Lowe
AGI
2011
14 years 1 months ago
Generalization of Figure-Ground Segmentation from Binocular to Monocular Vision in an Embodied Biological Brain Model
Abstract. Humans have the remarkable ability to generalize from binocular to monocular figure-ground segmentation of complex scenes. This is clearly evident anytime we look at a p...
Brian Mingus, Trent Kriete, Seth A. Herd, Dean Wya...