ICPR
2002
IEEE
14 years 10 months ago
2002
IEEE
Recognizing human facial expression and emotion by computer is an interesting and challenging problem. In this paper we propose a method for recognizing emotions through facial ex...
ICPR
2002
IEEE
14 years 10 months ago
2002
IEEE
This paper examines the problem of database organization and retrieval based on computing metric pairwise distances. A low-dimensional Euclidean approximation of a high-dimensiona...
ICPR
2002
IEEE
14 years 10 months ago
2002
IEEE
In this paper, a new segmentation technique for multivalued images is elaborated. The technique accesses multiscale edge information of a multivalued image by a concept, called mu...
ICPR
2002
IEEE
14 years 10 months ago
2002
IEEE
Content-based image retrieval can be dramatically improved by providing a good initial database overview to the user. To address this issue, we present in this paper the Adaptive ...
ICPR
2002
IEEE
14 years 10 months ago
2002
IEEE
A new data structure for representing the color of rays from multiple-view images is presented. The structure is a hexagonal tessellation generated from a buckyball. Using the str...
ICPR
2002
IEEE
14 years 10 months ago
2002
IEEE
Three-dimensional (3-D) models of outdoor scenes are widely used for object recognition, navigation, mixed reality, and so on. Because such models are often made manually with hig...
ICPR
2002
IEEE
14 years 10 months ago
2002
IEEE
Modeling consistency of style in isogenous fields of patterns (such as character patterns in a word from the same font or writer) can improve classification accuracy. Since such p...
ICPR
2002
IEEE
14 years 10 months ago
2002
IEEE
We present the theory behind a novel unsupervised method for discovering quasi-static objects, objects that are stationary during some interval of observation, within image sequen...
ICPR
2002
IEEE
14 years 10 months ago
2002
IEEE
ICPR
2002
IEEE
14 years 10 months ago
2002
IEEE
In this paper, we address the problem of semisupervision in the framework of parametric clustering by using labeled and unlabeled data together. Clustering algorithms can take adv...