The study of sign languages provides a wide field of applications for computer vision systems, but the analysis of such gestures often leads to complex 3D reconstructions or to ambiguities. In this paper, we describe the architecture of an image analysis system that performs sign language analysis by using a prediction/verification approach. The system integrates a model of the sign language’s ...

Sign language is a visual language used by deaf people. One difficulty of sign language recognition is that sign instances of vary in both motion and shape in three-dimensional (3D) space. In this research, we use 3D depth information from hand motions, generated from Microsoft's Kinect sensor and apply a hierarchical conditional random field (CRF) that recognizes hand signs from the hand motio...

We propose a tracking adaptation to recover from early tracking errors in sign language recognition by optimizing the obtained tracking paths w.r.t. the hypothesized word sequences of an automatic sign language recognition system. Hand or head tracking is usually only optimized according to a tracking criterion. As a consequence, methods which depend on accurate detection and tracking of body p...

Bimodal bilinguals are hearing individuals fluent in a sign and spoken language. Can the two languages influence each other such despite differences visual (sign) vocal (speech) modalities of expression? We investigated cross-linguistic influences on bimodal bilinguals’ expression spatial relations. Unlike languages, uses iconic linguistic forms that resemble physical features objects relation ...

Five patients with unilateral orbital tumours are described in whom transient loss of vision occurred on deviation of the affected eye from the primary position. Other presenting features were diplopia, proptosis, poor visual acuity, visual field defects, pupillary abnormalities, fundal changes and altered colour vision. Abnormalities on fluorescein angiography suggest that the visual loss is d...

A feature selection in Top down visual attention model for sign board recognition has been incorporated to reduce the computational complexity and to enhance the quality of recognition. The approach is based on a biologically motivated attention system which is able to detect regions of interest in images based on the concepts of the human visual system. A top-down guided visual search module o...

Visual representation as a means of communication uses elements to build narrative. We propose using computer analysis perform quantitative the used in visual creations that have been produced reference epidemic, 927 images compiled from The Covid Art Museum's Instagram account. This process has carried out with techniques based on deep learning detect objects contained each study image. resear...