ICPR
2004
IEEE
14 years 6 months ago
2004
IEEE
This paper presents a new approach for representing multidimensional data by a compact number of bases. We consider the multidimensional data as tensors instead of matrices or vec...
ICPR
2004
IEEE
14 years 6 months ago
2004
IEEE
The robust localization and tracking of faces in video streams is a fundamental concern for many subsequent multi-modal recognition approaches. Especially in meeting scenarios sev...
ICPR
2004
IEEE
14 years 6 months ago
2004
IEEE
This paper describes the construction of a statistical shape model based on the iterative closest point algorithm. The method does not require manual nor automatic identification ...
ICPR
2004
IEEE
14 years 6 months ago
2004
IEEE
A normalized, power-weighted averaging filter (NPF) is a very good approximation to the well-know local maximum and minimum filters along the object edges and offers noise reducti...
ICPR
2004
IEEE
14 years 6 months ago
2004
IEEE
Important factors affecting the efficiency and performance of the nearest neighbor classifier (NNC) are space, classification time requirements and for high dimensional data, due ...
ICPR
2004
IEEE
14 years 6 months ago
2004
IEEE
ICPR
2004
IEEE
14 years 6 months ago
2004
IEEE
In a previous paper [1], we have presented a new linear classification algorithm, Principal Component Null Space Analysis (PCNSA) which is designed for problems like object recogn...
ICPR
2004
IEEE
14 years 6 months ago
2004
IEEE
In this paper the problem of off-line handwritten cursive text recognition is considered. A method for expanding the set of available training textlines by applying random perturb...
ICPR
2004
IEEE
14 years 6 months ago
2004
IEEE
In this article, we present an unsupervised segmentation algorithm through a multiresolution approach which uses both color and edge information with a quadtree structure, through...
ICPR
2004
IEEE
14 years 6 months ago
2004
IEEE
We present a rotation-invariant multi-scale morphological method for texture analysis, which compared with existing methods has three advantages: (i) it can be implemented efficie...