Background: Patellar resurfacing after routine arthroplasty remains controversial. Few studies have specifically examined the effect of patellar resurfacing on outcomes after resection of the distal part of the femur and reconstruction with a megaprosthesis. Our objective was to compare the outcomes of megaprosthesis reconstructions of the distal part of the femur with and without patellar resu...

The method of modern analogs is widely used to obtain estimates of past climatic conditions from paleobiological assemblages, and despite its frequent use, this method involved so-far untested assumptions. We applied four analog approaches to a continental-scale set of bioclimatic and plantdistribution presence/absence data for North America to assess how well this method works under near-optim...

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...

A convolutional neural network (CNN) was used to identify the morphology of rough particles from their interferometric images. The tested had shapes sticks, crosses, and dendrites as well Y-like, L-like, T-like shapes. conversion images polar coordinates enabled particle shape recognition despite random orientations sizes particles. For non-centrosymmetric (Y, L, T), CNN not disturbed by twin i...

since 3d medical images such as spect and mri are taken under different patients positioning and imaging parameters, interpretation of them, as reconstructed originally, does not provide an easy and accurate understanding of similarities and differences between them. the problem becomes more crucial where a clinician would like to map accurately region of interest from one study to the other, b...

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 ...