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» Graph-Theoretical Methods in Computer Vision
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CVPR
2000
IEEE
14 years 10 months ago
A Semi-Automatic Method for Resolving Occlusion in Augmented Reality
Realistic merging of virtual and real objects requires that the augmented patterns be correctly occluded by foreground objects. In this paper, we propose a semi-automatic method f...
Vincent Lepetit, Marie-Odile Berger
BMVC
2010
13 years 6 months ago
Evaluation of dimensionality reduction methods for image auto-annotation
Image auto-annotation is a challenging task in computer vision. The goal of this task is to predict multiple words for generic images automatically. Recent state-of-theart methods...
Hideki Nakayama, Tatsuya Harada, Yasuo Kuniyoshi
CVPR
2012
IEEE
11 years 11 months ago
Memory constrained face recognition
Real-time recognition may be limited by scarce memory and computing resources for performing classification. Although, prior research has addressed the problem of training classif...
Ashish Kapoor, Simon Baker, Sumit Basu, Eric Horvi...
CVPR
2012
IEEE
11 years 11 months ago
Mode-seeking on graphs via random walks
Mode-seeking has been widely used as a powerful data analysis technique for clustering and filtering in a metric feature space. We introduce a versatile and efficient modeseekin...
Minsu Cho, Kyoung Mu Lee
WACV
2012
IEEE
12 years 4 months ago
A new upsampling method for mobile LiDAR data
We present a novel method to upsample mobile LiDAR data using panoramic images collected in urban environments. Our method differs from existing methods in the following aspects: ...
Ruisheng Wang, Jeff Bach, Jane Macfarlane, Frank P...