نتایج جستجو برای: 3d space

تعداد نتایج: 667083  

Journal: :iranian journal of radiology 0
hamed naghibi school of allied medical sciences, shahid beheshti university of medical sciences,tehran, iran hedayatolah soroush advanced diagnostic and interventional radiology research center (adir), tehran university of medical sciences, tehran, iran fariborz faeghi radiology technology department, school of allied medical sciences, shahid beheshti university of medical sciences,tehran, iran; radiology technology department, school of allied medical sciences, shahid beheshti university of medical sciences, tehran, iran madjid shakiba advanced diagnostic and interventional radiology research center (adir), tehran university of medical sciences, tehran, iran amir reza farhoud department of orthopedics, imam hospital complex, tehran university of medical sciences (tums), tehran, iran hassan hashemi advanced diagnostic and interventional radiology research center (adir), tehran university of medical sciences, tehran, iran

conclusion high-resolution mr images of the wrist using 3d t2space, pd blade and t2 blade were superior to those using conventional sequences quantitatively. high-snr and cnr mr imaging with space and blade would be a promising method to diagnose wrist lesions. results snr of the cartilage, tfcc on 3d t2space and t1 fse was better than other sequences (p < 0.001). snr of the bone on pd blade wa...

In recent years, great efforts have been made to generate 3D models of urban structures in photogrammetry and remote sensing. 3D reconstruction of the bridge, as one of the most important urban structures in transportation systems, has been neglected because of its geometric and structural complexity. Due to the UAV technology development in spatial data acquisition, in this study, the point cl...

Journal: :journal of mining and environment 2015
mohammad rezaie ali moradzadeh ali nejati kalate

one of the most remarkable basis of the gravity data inversion is the recognition of sharp boundaries between an ore body and its host rocks during the interpretation step. therefore, in this work, it is attempted to develop an inversion approach to determine a 3d density distribution that produces a given gravity anomaly. the subsurface model consists of a 3d rectangular prisms of known sizes ...

Representing 3D models in diverse fields have automatically paved the way of storing, indexing, classifying, and retrieving 3D objects. Classification and retrieval of 3D models demand that the 3D models represent in a way to capture the local and global shape specifications of the object. This requires establishing a 3D descriptor or signature that summarizes the pivotal shape properties of th...

One of the most remarkable basis of the gravity data inversion is the recognition of sharp boundaries between an ore body and its host rocks during the interpretation step. Therefore, in this work, it is attempted to develop an inversion approach to determine a 3D density distribution that produces a given gravity anomaly. The subsurface model consists of a 3D rectangular prisms of known sizes ...

In this review article, we aim to depict how healthcare facilities may look in the near future from an architectural design point of view. For this purpose, we review newly introduced technology and medical advances in the field of healthcare, such as artificial intelligence (AI), robotic surgery, 3D printing, and information technology (IT), and suggest how those advances may affect the archit...

Automatic capture and analysis of human motion, based on images or video is important issue in computer vision due to the vast number of applications in animation, surveillance, biomechanics, Human Computer Interaction, entertainment and game industry. In these applications, it is clear that 3D human pose estimation is an essential part. Therefore, its accuracy has a great effect on the perform...

Journal: :international journal of robotics 0
hamid d. taghirad industrial control center of excellence (icce), advanced robotics and automated systems (aras), faculty of electrical engineering, k. n. toosi university of technology, tehran, iran, p. o. box 16315-1355 alireza norouzzadeh industrial control center of excellence (icce), advanced robotics and automated systems (aras), faculty of electrical engineering, k. n. toosi university of technology, tehran, iran, p. o. box 16315-1355

in this paper the problem of 3d scene and object classification from depth data is addressed. in contrast to high-dimensional feature-based representation, the depth data is described in a low dimensional space. in order to remedy the curse of dimensionality problem, the depth data is described by a sparse model over a learned dictionary. exploiting the algorithmic information theory, a new def...

Journal: :Acta Crystallographica Section A Foundations of Crystallography 2008

Journal: :The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2013

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