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Recent research on computational modeling of visual attention has demonstrated that a bottom-up approach to identifying salient regions within an image can be applied to diverse and practical problems for which conventional machine vision techniques have not succeeded in producing robust solutions. This paper proposes a new method for extracting regions of(More)
Knowledge of the influence of the human skull on the electrical current (d.c.) distribution within the brain tissue could prove useful in measuring impedance changes inside the human head. These changes can be related to physiological functions. The studies presented in this paper examine the current density distribution in a simple phantom consisting of a(More)
Recommended by Gloria Menegaz Recent work in the computational modeling of visual attention has demonstrated that a purely bottom-up approach to identifying salient regions within an image can be successfully applied to diverse and practical problems from target recognition to the placement of advertisement. This paper proposes an application of a(More)
BACKGROUND Autonomic neuropathy is a common and serious complication of diabetes. Early detection is essential to enable appropriate interventional therapy and management. Dynamic pupillometry has been proposed as a simpler and more sensitive tool to detect subclinical autonomic dysfunction. The aim of this study was to investigate pupil responsiveness in(More)
We have developed a biologically-motivated, unsupervised way of grouping together images whose salient regions of interest (ROIs) are perceptually similar regardless of the visual contents of other (less relevant) parts of the image. In the implemented model cluster membership is assigned based on feature vectors extracted from salient ROIs. This paper(More)
— This demonstration highlights the benefits that image retrieval systems can enjoy by use of a thoughtful interface. We present a live demonstration of PRISM, a new Web-based application that, through a simple set of natural actions, allows the user the ability to elicit sophisticated responses from easily-formed queries. Additionally, the system was(More)
Content-based image retrieval (CBIR) systems have been actively investigated over the past decade. Several existing CBIR prototypes claim to be designed based on perceptual characteristics of the human visual system, but even those who do are far from recognizing that they could benefit further by incorporating ongoing research in vision science. This paper(More)
This work aims at investigating the influence of luminance information and environment illumination on skin classification. We explore Bayesian approaches to perform automatic classification of human skin pixels on digital images, using color features as input. Two probabilistic skin color models were built on different color spaces (RGB, normalized RG,(More)
Working length (WL) determination is a key factor to the endodontic therapy or root canal treatment success. Almost all therapy procedures depend on this measure and the wrong WL determination may produce severe consequences, like post-therapeutic pain and the need of a new root canal treatment. Electronic foramen locators (EFL) have been replacing the(More)