High Resolution 3D PTV Technique Based on Parallel Computation
نویسندگان
چکیده
منابع مشابه
High-Resolution Stereo Matching based on Sampled Photoconsistency Computation
We propose an approach to binocular stereo that avoids exhaustive photoconsistency computations at every pixel, since they are redundant and computationally expensive, especially for high resolution images. We argue that developing scalable stereo algorithms is critical as image resolution is expected to continue increasing rapidly. Our approach relies on oversegmentation of the images into sup...
متن کاملHigh-Resolution Fingersomatotopy at 7T using HGS-Parallel Technique
Introduction In a high field MRI, improvements in SNR and image quality are very noticeable, even though there are some drawbacks such as an increased field inhomogeneity and a relatively short T2. For EPI-based methods, these drawbacks are the major challenges in performing an fMRI study. To overcome these problems, researchers tried to modify the imaging sequence or to develop post-processing...
متن کاملHigh-Resolution Monotone Schemes Based on Quasi-Characteristics Technique
In this article, we consider a new technique that allows us to overcome the well-known restriction of Godunov’s theorem. According to Godunov’s theorem, a second-order explicit monotone scheme does not exist. The techniques in the construction of high-resolution schemes with monotone properties near the discontinuities of the solution lie in choosing of one of two high-resolution numerical solu...
متن کاملtreating refractory hypertension: renal denervation with high-resolution 3d-angiography
a 53-year-old male was referred to our department for refractory primary hypertension. despite high doses of 6 anti-hypertensive drugs, ambulatory monitoring of blood pressure (bp) revealed a mean bp of 160/90 mmhg. under local anaesthesia, renal denervation with radiofrequency was performed supported by high-resolution 3d angiography, which helped confirm the position of the applications in a ...
متن کاملRobust Fuzzy Content Based Regularization Technique in Super Resolution Imaging
Super-resolution (SR) aims to overcome the ill-posed conditions of image acquisition. SR facilitates scene recognition from low-resolution image(s). Generally assumes that high and low resolution images share similar intrinsic geometries. Various approaches have tried to aggregate the informative details of multiple low-resolution images into a high-resolution one. In this paper, we present a n...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of the Visualization Society of Japan
سال: 1997
ISSN: 1884-037X,0916-4731
DOI: 10.3154/jvs.17.supplement2_165