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...

The key contribution of this paper is a novel submapping technique for RGB-D-based bundle adjustment. Our approach significantly speeds up 3D object reconstruction with respect to full bundle adjustment while generating visually compelling 3D models of high metric accuracy. While submapping has been explored previously for mono and stereo cameras, we are the first to transfer and adapt this con...

objective: the aim of this study was to evaluate the influences of reconstruction and attenuation correction on the differences in the radioactivity distributions in 123i brain spect obtained by the hybrid spect/ct device. methods: we used the 3-dimensional (3d) brain phantom, which imitates the precise structure of gray mater, white matter and bone regions. it was filled with 123i solution (20...

The recent diffusion of web technologies in medical environments is deeply changing the work of radiologists and surgeons, allowing them to store and retrieve patient information, images but also reports and elaborated data. Among elaborated data, 3D reconstructions are becoming more popular because they allow, for example, a precise evaluation of the geometry of organs thus making the measurem...

background traditional digital subtraction angiography (dsa) is currently the gold standard diagnostic method for the diagnosis and evaluation of cerebral arteriovenous malformation (avm) and dural arteriovenous fistulas (davf). objectives the aim of this study was to analyze different less invasive magnetic resonance angiography (mra) images, time-resolved mra (tr-mra) and three-dimensional ti...

Presented here in the form of case study examples are the results from a number of practical exercises to explore the state of the art of automatic 3D reconstructions. That is, deriving the underlying geometry of an object or place based only upon photographs. There is a wide range of applications for this technology; traditionally it has been used for landscape/terrain modeling, geology and by...

3D reconstruction and modeling techniques based on computer vision show a significant improvement in recent decades. Despite the great variety, a majority of these techniques depend on specific photographic collections or video footage. For example, most are designed for large data collections, overlapping photos, captures from turntables or photos with lots of detectable features such as edges...

conclusion no significant differences were found among observers or voxel sizes, with high az results reported for all groups. results no significant differences were found among observers or voxel sizes, with high average z (az) results being reported for all groups. both intra- and inter-observer agreement values were relatively better for 3d accuitomo 170 images than the images from newtom 3...

Objective: The aim of this study was to evaluate the influences of reconstruction and attenuation correction on the differences in the radioactivity distributions in 123I brain SPECT obtained by the hybrid SPECT/CT device. Methods: We used the 3-dimensional (3D) brain phantom, which imitates the precise structure of gray mater, white matter and bone regions. It was filled with 123I solution (20...

3d reconstruction from a single image is inherently an ambiguous problem. Yet when we look at a picture, we can often infer 3d information about the scene. Humans perform single-image 3d reconstructions by using a variety of singleimage depth cues, for example, by recognizing objects and surfaces, and reasoning about how these surfaces are connected to each other. In this paper, we focus on the...