We study the problem of shape reconstruction from stereo images based on a weighted area minimization process of a depth function. As a simple example we present an efficient shape reconstruction from computer generated autostereograms. A minimal surface area based correlation is applied to accurately reconstruct the surface structure embedded first in one autostereogram image and next in two o...

This paper proposes a method for rapidly reconstructing 3D models of the spine from two planar radiographs. For performing 3D reconstructions, users only have to identify on each radiograph a spline that represents the spine midline. Then, a statistical articulated model of the spine is deformed until it best fits these splines. The articulated model used on this method not only models vertebra...

Consider a video sequence captured by a single camera observing a complex dynamic scene containing an unknown mixture of multiple moving and possibly deforming objects. In this paper we propose an unsupervised approach to the challenging problem of simultaneously segmenting the scene into its constituent objects and reconstructing a 3D model of the scene. The strength of our approach comes from...

In this paper we present the framework of our reconstruction and visualization system for planar cross sectional data. Threedimensional reconstructions are used to analyze the patterns and functions of dying (apoptotic) and dividing (mitotic) cells in the early developing nervous system. Reconstructions are built-up from high resolution scanned, routinely stained histological serial sections (s...

[1] Previous tree-ring–based Northern Hemisphere temperature reconstructions portray a varying amplitude range between the ‘‘Medieval Warm Period’’ (MWP), ‘‘Little Ice Age’’ (LIA) and present. We describe a new reconstruction, developed using largely different methodologies and additional new data compared to previous efforts. Unlike earlier studies, we quantify differences between more traditi...

There is a general consensus on the fact that people love food. Due to the great diffusion of low cost image acquisition devices (e.g., smartphones and wearable cameras), the food is nowadays one of the most photographed objects. The number of food images on the web is increasing and novel social networks for food lovers (e.g., foodspotting) are more and more popular. The automatic analysis and...

introduction: inappropriate condensation of gutta-percha or improper use of sealer can lead to voids in root canal filling material and consequent failure of the treatment. timely detection of voids within root canal filling may prevent complications. in this study, we compared the accuracy of digital and conventional radiograph for detecting voids within root canal fillings . materials & metho...

We present a novel approach of color transfer between images by exploring their high-level semantic information. First, we set up a database which consists of the collection of downloaded images from the internet, which are segmented automatically by using matting techniques. We then, extract image foregrounds from both source and multiple target images. Then by using image matting algorithms, ...

Since most common form of cervical cancer starts with pre-cancerous changes, a flawless detection of these changes becomes an important issue to prevent and treat the cervix cancer. There are 2 ways to stop this disease from developing. One way is to find and treat pre-cancers before they become true cancers, and the other is to prevent the pre-cancers in the first place. The presented approach...