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» Gray-Level Reduction Using Local Spatial Features
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ICCV
2007
IEEE
14 years 9 months ago
Object Localisation Using Generative Probability Model for Spatial Constellation and Local Image Features
In this paper we apply state-of-the-art approach to object detection and localisation by incorporating local descriptors and their spatial configuration into a generative probabil...
Joni-Kristian Kamarainen, Miroslav Hamouz, Josef K...
ECCV
2008
Springer
14 years 9 months ago
Differential Spatial Resection - Pose Estimation Using a Single Local Image Feature
Robust local image features have been used successfully in robot localization and camera pose estimation; region tracking using affine warps is considered state of the art also for...
Kevin Köser, Reinhard Koch
TSMC
2002
142views more  TSMC 2002»
13 years 7 months ago
Adaptive color reduction
Abstract--This paper proposes a new algorithm for the reduction of the number of colors in an image. The proposed adaptive color reduction (ACR) technique achieves color reduction ...
Nikos Papamarkos, Antonios Atsalakis, Charalambos ...
ECCV
2004
Springer
14 years 9 months ago
Dimensionality Reduction by Canonical Contextual Correlation Projections
A linear, discriminative, supervised technique for reducing feature vectors extracted from image data to a lower-dimensional representation is proposed. It is derived from classica...
Marco Loog, Bram van Ginneken, Robert P. W. Duin
IPMI
2005
Springer
14 years 1 months ago
Automated Detection of Small-Size Pulmonary Nodules Based on Helical CT Images
Abstract. A computer-aided diagnosis (CAD) system to detect smallsize (from 2 mm to around 10 mm) pulmonary nodules in helical CT scans is developed. This system uses different sc...
Xiangwei Zhang, Geoffrey McLennan, Eric A. Hoffman...