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» Geo-located image analysis using latent representations
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CVPR
2007
IEEE
14 years 10 months ago
Adaptive Patch Features for Object Class Recognition with Learned Hierarchical Models
We present a hierarchical generative model for object recognition that is constructed by weakly-supervised learning. A key component is a novel, adaptive patch feature whose width...
Fabien Scalzo, Justus H. Piater
ICCV
1999
IEEE
14 years 10 months ago
Projective Alignment with Regions
?We have recently proposed an approach to recognition that uses regions to determine the pose of objects while allowing for partial occlusion of the regions. Regions introduce an a...
Ronen Basri, David W. Jacobs
SMI
2006
IEEE
152views Image Analysis» more  SMI 2006»
14 years 2 months ago
A Laplacian Based Approach for Free-Form Deformation of Sparse Low-degree IMplicit Surfaces
Sparse Low-degree IMplicit (SLIM) surface [11] is a recently developed non-conforming surface representation. In this paper, a method for free-form deformation of SLIM surfaces is...
Yutaka Ohtake, Takashi Kanai, Kiwamu Kase
SCVMA
2004
Springer
14 years 1 months ago
Local Descriptors for Spatio-temporal Recognition
Abstract. This paper presents and investigates a set of local spacetime descriptors for representing and recognizing motion patterns in video. Following the idea of local features ...
Ivan Laptev, Tony Lindeberg
SMI
2003
IEEE
131views Image Analysis» more  SMI 2003»
14 years 1 months ago
Watermarking 2D Vector Maps in the Mesh-Spectral Domain
This paper proposes a digital watermarking algorithm for 2D vector digital maps. The watermark is a robust, informed-detection watermark to be used to prevent such abuses as an in...
Ryutarou Ohbuchi, Hiroo Ueda, Shuh Endoh