Recent stereo cameras provide reliable 3D reconstructions. These are useful for selecting ground-plane points, register them and building mosaics of cluttered ground planes. In this paper we propose a 2D Iterated Closest Point (ICP) registration method, based on the distance transform, combined with a fine-tuning-registration step using directly the image data. Experiments with real data show t...

This paper proposes a vision-based fall detection system for the elderly and patients at home or in health-care institutions. The system uses an omni-directional camera to avoid blind spot. The system also considers practical environmental factors that may take place in our daily life, such as the occurrence of light source glimmer, turning a light on and off and leaving over static abandoned o...

This issue discusses methods to extract three-dimensional (3D) models from plain images. In particular, the 3D information is obtained from images for which the camera parameters are unknown. The principles underlying such uncalibrated structure-from-motion methods are outlined. First, a short review of 3D acquisition technologies puts such methods in a wider context and highlights their import...

In this paper the project Archeomatica of Catania University dedicated to Minoan civilization and Cretan culture is presented. The project carried out by experts of information technology and archaeological research provides the creation of realistic 3D models based on the data recorded during excavations that are digital upgradeable archives to add to the traditional graphic and photographic d...

Most 3D reconstruction approaches passively optimise over all data, exhaustively matching pairs, rather than actively selecting data to process. This is costly both in terms of time and computer resources, and quickly becomes intractable for large datasets. This work proposes an approach to intelligently filter large amounts of data for 3D reconstructions of unknown scenes using monocular camer...

The paper discusses the initial results obtained for the generation of canonical 3D models of anatomical parts, built on real patient data. 3D canonical models of anatomy are key elements in a computerassisted diagnosis; for instance, they can support pathology detection, semantic annotation of patient-specific 3D reconstructions, quantification of pathological markers. Our approach is focused ...

This paper presents a method for recovering deformable shape and motion from uncalibrated 2D video sequence in the presence of missing data. Highly deformable shapes are hard to describe under previously used assumptions, such as global constraint enforcing shapes to lie within a linear subspace. Considering that the data dimensionality may not represent the true complexity of the problem, we s...

since long time ago, mobile metaphor and simile are most important mean for poetic images creation. the present paper studies bayati works according to the important role of the colors in poetic images creation in. we came to conclusion that the poet has used the colors in order to express his feelings, his unsatisfactory as well goals, aims and ideologies. the colors application or secret sema...

. Paraphrasing Olivier Faugeras in the foreword of [1], making a robot see is still an unsolved and challenging task after several decades of research. The traditional research has been based on the geometric models of multiple views of a scene, estimating a sparse 3D map of the scene and the camera pose. Recent advances have led to fully dense and real-time 3D reconstructions. Also, there are ...

Proxies such as plant macrofossils, humification indices and testate amoebae have been developed to reconstruct past hydrological variability in ombrotrophic peatlands. Reconstructions based on these approaches have resulted in records of decadalto centennial-scale moisture variability in regions of North America and elsewhere. Although the various peatland moisture proxies generally show signi...