ICPR
2010
IEEE
14 years 2 months ago
2010
IEEE
—Illumination and view dependent texture provide ample information on the appearance of real materials at the cost of enormous data storage requirements. Hence, past research foc...
ICPR
2010
IEEE
14 years 2 months ago
2010
IEEE
Abstract—A visual appearance of natural materials fundamentally depends on illumination conditions, which significantly complicates a real scene analysis. We propose textural fe...
ICPR
2010
IEEE
14 years 2 months ago
2010
IEEE
In this paper, we propose a new object detection method that does not need a learning mechanism. Given a hand-drawn model as a query, we can detect and locate objects that are sim...
ICPR
2010
IEEE
14 years 2 months ago
2010
IEEE
This paper presents a novel discriminative feature transformation, named full-rank generalized likelihood ratio discriminant analysis (fGLRDA), on the grounds of the likelihood ra...
ICPR
2010
IEEE
14 years 2 months ago
2010
IEEE
In this paper we survey two multi-dimensional Scale Saliency approaches based on graphs and the k-d partition algorithm. In the latter case we introduce a new divergence metric an...
ICPR
2010
IEEE
14 years 2 months ago
2010
IEEE
Social tagging is an increasingly popular way to describe and classify documents on the web. However, the quality of the tags varies considerably since the tags are authored freel...
ICPR
2010
IEEE
14 years 2 months ago
2010
IEEE
Most existing performance evaluation methods concentrate on defining separate metrics over a wide range of conditions and generating standard benchmarking video sequences for exam...
ICPR
2010
IEEE
14 years 2 months ago
2010
IEEE
Training datasets for object detection problems are typically very large and Support Vector Machine (SVM) implementations are computationally complex. As opposed to these complex ...
ICPR
2010
IEEE
14 years 2 months ago
2010
IEEE
—A novel non-linear dimensionality reduction method, called Temporal Laplacian Eigenmaps, is introduced to process efficiently time series data. In this embedded-based approach,...
ECCV
2010
Springer
14 years 2 months ago
2010
Springer
We propose a spectral learning approach to shape segmentation. The method is composed of a constrained spectral clustering algorithm that is used to supervise the segmentation of a...