The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper presents a new approach towards the selection of color image features to be used in the classification of burn wounds. The features are selected such that they generate similarity matrices and multidimensional scaling (MDS) plots that match the similarity matrix and the MDS-plot resulting from a subjective visual burn area similarity test performed by trained surgeons. We show that standard...
To facilitate computer analysis of visual art, in the form of paintings, we introduce Pandora (Paintings Dataset for Recognizing the Art movement) database, a collection of digitized paintings labelled with respect to the artistic movement. Noting that the set of databases available as benchmarks for evaluation is highly reduced and most existing ones are limited in variability and number of images,...
This papers presents the use of color imaging as a starting point of burn wound evaluation, by the discrimination between healthy skin and burn wound. The skin/burn area identification is performed pixel-wise, according to the properties of an entire encompassing patch. The classification is learned under a supervised scenario, according to a ground truth defined by specialist surgeons from a large...
In this paper a simple and efficient method is proposed for detecting eye positions which are used in Neuro-Linguistic Programming (NLP) as clues for the human internal representational system and mental activity. The algorithm takes as input a square crop of a face and locates the eyes using a fast and efficient color-based method. The gaze direction is then detected based on the relative position...
Automatic detection of human face features plays a significant role in expression recognition and human computer interaction. Human eyebrows shape has good specificity and stability, hence precise localization outlines a series of threads for face expression analysis. This paper will introduce a simple method for eyebrow localization. The determined positions allow geometrical extraction of the upper...
In this paper we propose an automatic video highlighting approach which is based on the assessment of visual activity (i.e. temporal visual changes). The aim is to highlight major key-points in laparoscopic medical interventions. Visual activity is determined using a frame-based histogram difference approach. Preliminary tests show that during critical moments in laparoscopic intervention, camera...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.