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» Highly Discriminative Invariant FEatures for Image Matching
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ICCV
2003
IEEE
15 years 5 months ago
SVM-based Nonparametric Discriminant Analysis, An Application to Face Detection
Detecting the dominant normal directions to the decision surface is an established technique for feature selection in high dimensional classification problems. Several approaches...
Rik Fransens, Jan De Prins, Luc J. Van Gool
ICMCS
2007
IEEE
255views Multimedia» more  ICMCS 2007»
15 years 6 months ago
Distributed Architecture for Large Scale Image-Based Search
In recent years, some computer vision algorithms such as SIFT (Scale Invariant Feature Transform) have been employed in image similarity match to perform image-based search applic...
Yu Zheng, Xing Xie, Wei-Ying Ma
ISBI
2007
IEEE
15 years 6 months ago
Feature Curve-Guided Volume Reconstruction from 2d Images
In this paper, we propose a new paradigm to reconstruct 3D volume from histology slices guided by NURBS spline-based feature curves. Histology slices are first scanned into compu...
Yunhao Tan, Jing Hua, Ming Dong
CIKM
2010
Springer
14 years 10 months ago
Novel local features with hybrid sampling technique for image retrieval
In image retrieval, most existing approaches that incorporate local features produce high dimensional vectors, which lead to a high computational and data storage cost. Moreover, ...
Leszek Kaliciak, Dawei Song, Nirmalie Wiratunga, J...
ECCV
2004
Springer
16 years 1 months ago
Weak Hypotheses and Boosting for Generic Object Detection and Recognition
In this paper we describe the first stage of a new learning system for object detection and recognition. For our system we propose Boosting [5] as the underlying learning technique...
Andreas Opelt, Michael Fussenegger, Axel Pinz, Pet...