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» Highly Discriminative Invariant FEatures for Image Matching
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ICCV
2007
IEEE
14 years 11 months ago
Globally Optimal Image Segmentation with an Elastic Shape Prior
So far global optimization techniques have been developed independently for the tasks of shape matching and image segmentation. In this paper we show that both tasks can in fact b...
Thomas Schoenemann, Daniel Cremers
BMVC
2010
13 years 7 months ago
Robust 3D Face Recognition by Using Shape Filtering
Achieving high accuracy in the presence of expression variation remains one of the most challenging aspects of 3D face recognition. In this paper, we propose a novel recognition a...
Liang Cai, Feipeng Da
CVPR
2007
IEEE
14 years 11 months ago
An Exemplar Model for Learning Object Classes
We introduce an exemplar model that can learn and generate a region of interest around class instances in a training set, given only a set of images containing the visual class. T...
Ondrej Chum, Andrew Zisserman
ICPR
2008
IEEE
14 years 3 months ago
Recognition of box-like objects by fusing cues of shape and edges
Boxes are the universal choice for packing, storage, and transportation. In this paper we propose a template-based algorithm for recognition of box-like objects, which is invarian...
Chia-Chih Chen, Jake K. Aggarwal
ECCV
2008
Springer
14 years 11 months ago
Contour Context Selection for Object Detection: A Set-to-Set Contour Matching Approach
Abstract. We introduce a shape detection framework called Contour Context Selection for detecting objects in cluttered images using only one exemplar. Shape based detection is inva...
Qihui Zhu, Liming Wang, Yang Wu, Jianbo Shi