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Results 1 - 10
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152
Image guided depth upsampling using anisotropic total generalized variation
- in IEEE International Conference on Computer Vision
, 2013
"... In this work we present a novel method for the chal-lenging problem of depth image upsampling. Modern depth cameras such as Kinect or Time of Flight cameras deliver dense, high quality depth measurements but are limited in their lateral resolution. To overcome this limitation we for-mulate a convex ..."
Abstract
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Cited by 7 (1 self)
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optimization problem using higher order regularization for depth image upsampling. In this opti-mization an anisotropic diffusion tensor, calculated from a high resolution intensity image, is used to guide the upsam-pling. We derive a numerical algorithm based on a primal-dual formulation that is efficiently
Automated 3-D Extraction of Inner and Outer Surfaces of Cerebral Cortex from MRI
- NEUROIMAGE
, 2000
"... Automatic computer processing of large multidimensional images such as those produced by magnetic resonance imaging (MRI) is greatly aided by deformable models, which are used to extract, identify, and quantify specific neuroanatomic structures. A general method of deforming polyhedra is presented h ..."
Abstract
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Cited by 181 (17 self)
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Automatic computer processing of large multidimensional images such as those produced by magnetic resonance imaging (MRI) is greatly aided by deformable models, which are used to extract, identify, and quantify specific neuroanatomic structures. A general method of deforming polyhedra is presented
1Multi-Frame Demosaicing and Super-Resolution of Color Images
"... In the last two decades, two related categories of problems have been studied independently in the image restoration literature: super-resolution and demosaicing. A closer look at these problems reveals the relation between them, and as conventional color digital cameras suffer from both low-spatial ..."
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-spatial resolution and color-filtering, it is reasonable to address them in a unified context. In this paper, we propose a fast and robust hybrid method of super-resolution and demosaicing, based on a MAP estimation technique by minimizing a multi-term cost function. The L1 norm is used for measuring the difference
Total Variation Imaging followed by spectral decomposition using continuous wavelet transform
"... • Imaging using total variation regularization operator followed by spectral decomposition using TFCWT can be used as an effective interpretive tool. • In general geophysical images provide two kinds of information: (a) structural images of discontinuities that define various lithology units and (b) ..."
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• Imaging using total variation regularization operator followed by spectral decomposition using TFCWT can be used as an effective interpretive tool. • In general geophysical images provide two kinds of information: (a) structural images of discontinuities that define various lithology units and (b
ROBUST AND EFFICIENT 3D REGISTRATION VIA DEPTH MAP-BASED FEATURE POINT MATCHING IN IMAGE-GUIDED NEUROSURGERY
"... In image-guided neurosurgery, preoperatively acquired diagnostic images (e.g., brain MRI) should be accurately registered to the physical space that is specific to the patient’s intraoperative neuroanatomy. A popular framework of registration requires manual defining corresponding positions of fiduc ..."
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promising accuracy. Average online processing time is no more than 1s totally in a MATLAB implementation. Index Terms — image-guided neurosurgery, registration, depth map, SIFT, robust, efficient
Adaptive regularization of the NL-means: Application to image and video denoising
, 2013
"... Image denoising is a central problem in image processing and it is often a necessary step prior to higher level analysis such as segmentation, reconstruction or super-resolution. The non-local means (NL-means) perform denoising by exploiting the natural redundancy of patterns inside an image; they p ..."
Abstract
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Cited by 4 (3 self)
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introduce in this paper a variational approach that reduces this residual noise by adaptively regularizing non-local methods with the total variation. The classical minimization of the total variation – the ROF model – leads to restore regular images but it is prone to over-smooth textures and create a
RICE UNIVERSITY Regime Change: Sampling Rate vs. Bit-Depth in Compressive Sensing
, 2011
"... The compressive sensing (CS) framework aims to ease the burden on analog-to-digital converters (ADCs) by exploiting inherent structure in natural and man-made signals. It has been demon-strated that structured signals can be acquired with just a small number of linear measurements, on the order of t ..."
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of the signal complexity. In practice, this enables lower sampling rates that can be more easily achieved by current hardware designs. The primary bottleneck that limits ADC sam-pling rates is quantization, i.e., higher bit-depths impose lower sampling rates. Thus, the decreased sampling rates of CS ADCs
Active Mask Framework for Segmentation of Fluorescence Microscope Images
"... m]]l]]s¶D]]¿÷mB]iv]b]oD]m¶¨]iv]§]iv]r]j]t¿rv]]irj]]t]]m] / | ap]]r¿]ÎNy]s¶D]]mb¶r]ix} Û]Ix]]rd]mb]} p—N]t]o%ism] in]ty]m] / || Û]Is]¡uÎc]rN]]riv]nd]p]*N]m]st¶ I always bow to Śri ̄ Śāradāmbā, the limitless ocean of the nectar of compassion, who bears a rosary, a vessel of nectar, the symbol of ..."
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of knowledge and a book in Her lotus hands. Dedicated to the Lotus Feet of the revered Sadguru. This thesis presents a new active mask (AM) framework and an algorithm for segmenta-tion of digital images, particularly those of punctate patterns from fluorescence microscopy. Fluorescence microscopy has greatly
A general dense image matching framework combining direct and feature-based costs
- In ICCV
, 2013
"... Dense motion field estimation (typically optical flow, stereo disparity and surface registration) is a key computer vision problem. Many solutions have been proposed to com-pute small or large displacements, narrow or wide baseline stereo disparity, but a unified methodology is still lacking. We her ..."
Abstract
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Cited by 7 (0 self)
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to guide dense motion estimation out of local minima. Our framework uses a robust direct data term (AD-Census). It is implemented with a powerful second or-der Total Generalized Variation regularization with external and self-occlusion reasoning. Our framework achieves state of the art performance
Cultural Biases in Economic Exchange",
, 2004
"... Abstract How much do cultural biases affect economic exchange? We try to answer this question by using the relative trust European citizens have for citizens of other countries. First, we document that this trust is affected not only by objective characteristics of the country being trusted, but al ..."
Abstract
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Cited by 57 (4 self)
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have a first order effect through this channel we present an extremely simple model, based on a variation of Anderlini and Felli (2002). Consider two parties, A and B, who can engage in some profitable trade. Let assume that A has to spend a cost c to find out whether the total value created
Results 1 - 10
of
152
