Evaluation Protocols and Comparative Results for the Triesch Hand Posture Database
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Cursive character recognition is a challenging task due to high variability and intrinsic ambiguity of cursive letters. This paper presents \emph{C-Cube} (Cursive Character Challenge), a new public-domain cursive character database. \emph{C-Cube} contains ...
Cursive character recognition is a challenging task due to high variability and intrinsic ambiguity of cursive letters. This paper presents \emph{C-Cube} (Cursive Character Challenge), a new public-domain cursive character database. \emph{C-Cube} contains ...
The issues of fusion with client-dependent and confidence information have been well studied separately in biometric authentication. In this study, we propose to take advantage of both sources of information in a discriminative framework. Initially, each s ...
The issues of fusion with client-dependent and confidence information have been well studied separately in biometric authentication. In this study, we propose to take advantage of both sources of information in a discriminative framework. Initially, each s ...
Developing new techniques for human-computer interaction is very challenging. Vision-based techniques have the advantage of being unobtrusive and hands are a natural device that can be used for more intuitive interfaces. But in order to use hands for inter ...
Classifying materials from their appearance is challenging. Impressive results have been obtained under varying illumination and pose conditions. Still, the effect of scale variations and the possibility to generalize across different material samples are ...
In this paper we evaluate and compare six well-known foreground from background subtraction methods against a standard database. To be able to compare these algorithms objectively, we have chosen three challengeable scenarios from this database. The algori ...
In this paper, we address the problem of the recognition of isolated complex mono- and bi-manual hand gestures. In the proposed system, hand gestures are represented by the 3D trajectories of blobs obtained by tracking colored body parts. In this paper, we ...
Developing new techniques for human-computer interaction is very challenging. Vision-based techniques have the advantage of being unobtrusive and hands are a natural device that can be used for more intuitive interfaces. But in order to use hands for inter ...
Localization and context interpretation are two key competences for mobile robot systems. Visual place recognition, as opposed to purely geometrical models, holds promise of higher flexibility and association of semantics to the model. Ideally, a place rec ...