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» Robot Localization Using a Computer Vision Sextant
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CVPR
2005
IEEE
16 years 5 months ago
Part-Based Statistical Models for Object Classification and Detection
We propose using simple mixture models to define a set of mid-level binary local features based on binary oriented edge input. The features capture natural local structures in the...
Elliot Joel Bernstein, Yali Amit
CVPR
2008
IEEE
16 years 5 months ago
The scale of a texture and its application to segmentation
This paper examines the issue of scale in modeling texture for the purpose of segmentation. We propose a scale descriptor for texture and an energy minimization model to find the ...
Byung-Woo Hong, Kangyu Ni, Stefano Soatto, Tony F....
ACCV
2007
Springer
15 years 9 months ago
Converting Thermal Infrared Face Images into Normal Gray-Level Images
In this paper, we address the problem of producing visible spectrum facial images as we normally see by using thermal infrared images. We apply Canonical Correlation Analysis (CCA)...
Mingsong Dou, Chao Zhang, Pengwei Hao, Jun Li
CVPR
2003
IEEE
16 years 5 months ago
Shape Context and Chamfer Matching in Cluttered Scenes
This paper compares two methods for object localization from contours: shape context and chamfer matching of templates. In the light of our experiments, we suggest improvements to...
Arasanathan Thayananthan, Bjoern Stenger, Philip H...
CVPR
2010
IEEE
15 years 11 months ago
Unsupervised Learning of Invariant Features Using Video
We present an algorithm that learns invariant features from real data in an entirely unsupervised fashion. The principal benefit of our method is that it can be applied without hu...
David Stavens, Sebastian Thrun