372 search results - page 9 / 75 » Learning Location Invariance for Object Recognition and Loca... |
DAGM
2001
Springer
15 years 4 months ago
2001
Springer
Novel similarity measures for object recognition and image matching are proposed, which are inherently robust against occlusion, clutter, and nonlinear illumination changes. They c...
ICPR
2010
IEEE
15 years 2 months ago
2010
IEEE
In this paper, we propose a new object detection method that does not need a learning mechanism. Given a hand-drawn model as a query, we can detect and locate objects that are sim...
124
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ICIAR
2009
Springer
14 years 9 months ago
2009
Springer
Abstract. Increasing risks of spoof attacks and other common problems of unimodal biometric systems such as intra-class variations, nonuniversality and noisy data necessitate the u...
101
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ECCV
2008
Springer
16 years 1 months ago
2008
Springer
Multiple Instance Learning (MIL) provides a framework for training a discriminative classifier from data with ambiguous labels. This framework is well suited for the task of learni...
107
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CVPR
2007
IEEE
16 years 1 months ago
2007
IEEE
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...