Conventional seated audiences have relatively restricted opportunities for response. Perhaps the most salient is applause but they use their hands to make other visible movements: to fix hair, adjust glasses, scratch ears. The question we address here is whether these apparently incidental movements may provide systematic clues about an audience’s level of engagement with a performance. We inve...

Spatial image processing chips, known as silicon retinas, are based on the architecture of vertebrate retina and can be mathematically represented as the Laplacian of Gaussian (LOG) and Difference of Gaussian (DOG). In this paper, attention has been paid on implementing a retina function through the LOG model. Previous implementations have used a hexagonal resistive mesh within the pixel array,...

In the context of precision agriculture, we have developed a machine vision system for a real time precision sprayer. From a monochrome CCD camera located in front of the tractor, the discrimination between crop and weeds is obtained with image processing based on spatial information using a Gabor filter.This method allows to detect the periodic signals from the non-periodic ones, and enables u...

The detection of moving people is an important task for video surveillance systems. This paper presents a motion segmentation algorithm for detecting people moving in indoor environments. The proposed algorithm works with mobile cameras and it is composed of two main parts. In the first part, a frame-by-frame procedure is applied to compute the difference image, and a neural network is used to ...

An endoscope is a medical instrument that acquires images inside the human body. This paper proposes a new approach for the automatic detection of polyp regions in an endoscope image using a Hessian filter and machine learning techniques. Previous approaches tried to detect candidate polyp regions based on rectangular patches. But, a purely patch-based approach can miss classify candidate regio...

Abstract Object recognition with visual computer techniques is a process necessary to detect different objects in three-dimensional image get precise results. Color extraction Red Green Blue (RGB), Red, Green, (HSV) and other color spaces can produce high accuracy minimize the number of parameters speed computing process. In this study diagnosis pneumonia was based on CT scan lungs segmentation...

Warning: This draft is draftier than you might expect. More specifically, • Some sections are missing. • Many sections are incomplete. In most cases the incompleteness is noted, but occasionally it isn’t. • Some sections were written nearly two years ago, and are now outdated. • There are not yet enough citations to similar work of other people. Despite all this, there’s probably enough deciphe...

Implicit surfaces have proved to be a particularly well suited and efficient model for animating and morphing shapes of arbitrary topologies. The Blob-Tree model is characterized as a hierarchical combination of skeletal primitives organized in a tree. The nodes hold blending, boolean and warping operators, which allows the design of complex objects. In this paper, we address the metamorphosis ...

Recently, research in the field of content-based image retrieval has attracted a lot of attention. Nevertheless, most existing methods cannot be easily applied to medical image databases, as global image descriptions based on color, texture, or shape do not supply sufficient semantics for medical applications. The concept for content-based image retrieval in medical applications (IRMA) is there...