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» Using multiscale top points in image matching
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PAMI
2007
157views more  PAMI 2007»
14 years 9 months ago
Pores and Ridges: High-Resolution Fingerprint Matching Using Level 3 Features
—Fingerprint friction ridge details are generally described in a hierarchical order at three different levels, namely, Level 1 (pattern), Level 2 (minutia points), and Level 3 (p...
Anil K. Jain, Yi Chen, Meltem Demirkus
CVPR
2010
IEEE
15 years 5 months ago
Estimating Camera Pose from a Single Urban Ground-View Omnidirectional Image and a 2D Building Outline Map
A framework is presented for estimating the pose of a camera based on images extracted from a single omnidirectional image of an urban scene, given a 2D map with building outlines...
Tat-Jen Cham, Ciptadi Arridhana, Wei-Chian Tan, Mi...
CVPR
2009
IEEE
16 years 4 months ago
Stereo Matching with Nonparametric Smoothness Priors in Feature Space
We propose a novel formulation of stereo matching that considers each pixel as a feature vector. Under this view, matching two or more images can be cast as matching point clouds i...
Brandon M. Smith, Hailin Jin, Li Zhang
ACIVS
2009
Springer
15 years 4 months ago
Comparing Feature Matching for Object Categorization in Video Surveillance
In this paper we consider an object categorization system using local HMAX features. Two feature matching techniques are compared: the MAX technique, originally proposed in the HMA...
Rob G. J. Wijnhoven, Peter H. N. de With
DICTA
2003
14 years 11 months ago
A New Shape Matching Measure for Nonlinear Distorted Object Recognition
In this paper, we present a new approach for hand-written character and digit recognitions based on shape descriptor and the Hausdorff Context. We start at finding the correspondi...
Sanun Srisuk, Marut Tamsri, Rerkchai Fooprateepsir...