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The seamless composition of synthetic objects into real-world scenes requires a high level of detail to convince viewers that the rendered object belongs in the scene. These details include illumination properties that perceptually match the real-world environment. To achieve such effects, image based lighting is often used to emulate real-world lighting. This paper explores the role of lighting,...
SAR spaceborne applications typically employ conformal phased array antennas consisting of a great number of elements, which are required to generate many shaped beams, including nulls and side-lobe regions with complicated shapes. In such applications, only the pattern amplitudes are of concern, thus power synthesis procedures are required. In this paper we will use a projection based method, for...
The ideal square pixel active area (PAA) model is widely used in researches of micro scanning (MS) based infrared (IR) super-resolution (SR) imaging. However, according to the micrographs of practical IR focal plane array (FPA) productions, the PAAs of these productions are actually not a strict square. Three different PAA shapes, i.e. square, rectangle and Z shape, are analyzed to discuss their effect...
Image scaling is a widely used method for many applications and numerous approaches have been proposed to this issue. Current approaches that bring promising results while the edge curves of the scaled up image still have blurring effect. This paper focuses on the edge curve of an image. We propose a simple method for edge curve scaling to avoid the disconnect and zigzag problems when using cubic...
Deformable model fitting to high-resolution facial images has been extensively studied for over two decades. However, due to the ill-posed problem caused by low-resolution images, most existing work cannot be applied directly and degrades quickly as the resolution decreases. To address this issue, this paper extends the Constrained Local Model (CLM) to a multi-resolution model consisting of a 4-level...
Recently, short-lag spatial coherence (SLSC) imaging has drawn much attention from researchers due to benefits such as improved speckle signal-to-noise ratio and contrast-to-noise ratio compared to conventional B-mode imaging based on delay-and-sum beamforming. However, SLSC imaging has good performance just around the transmit focal point, which is quite a drawback. In this paper, we propose a new...
In this paper, we present an image processing chain that can interpret high resolution synthetic aperture radar (SAR) imagery for building layover characterization and extraction in urban areas. It is composed of three main parts — generation of hint areas, generation of superpixels, and optimized cut of layovers via superpixel merging. The proposed framework is complete, and flexibly integrates necessary...
The advances of technologies for mobile robotics enable the application of robots to increasingly complex tasks. Cleaning office buildings on a daily basis is a problem that could be partially automatized with a cleaning robot that assists the cleaning professional yielding a higher cleaning capacity. A typical task in this domain is the selective cleaning, that is a focused cleaning effort to dirty...
The motion capture system based on visible light needs a kind of artificial marker which can be recognized efficiently. Designs of existing markers are mostly based on black and white texture features that apply to static recognition. This paper designs a color marker and its recognition methods. It can reduce time complexity and make motion capture system based on visible light possible. We experimented...
This paper describes a new accurate interpolation method of a low-resolution depth image using a high-resolution color image for the structural analysis of 3d data. Our method adopts the strategy to detect and omit regions where it is difficult to estimate depth value accurately. In order to achieve this, Color geodesic neighborhood is used as the local smooth surface, and depth data is interpolated...
In this paper, we propose methods to extract the motion of papillary muscles from high resolution CT images, and quantitatively characterize them by extracting spatio-temporal skeletons. This method first reconstructs and visualizes detailed models of papillary muscles using a two-stage coarse-to-fine registration. To describe the model's shape and motion effectively and efficiently, high level abstractions...
In this paper we propose the use of nonuniformly resized image patch exemplars for solving low level vision problems like denoising and super-resolution. While patch-based methods have been shown to be successful for several such applications, these methods have so far assumed uniform sizes for image patches. In this paper we address this restriction. We use an integral image representation for efficient...
Surveying a large amount of small sub-kilometer craters in planetary images is a challenging task due to their non-distinguishable features. In this paper, we integrate the LASSO (Least Absolute Shrinkage and Selection Operator) method with the Bayesian network classifier and propose an L1 Regularized Bayesian Network Classifier (L1-BNC) algorithm for this task. The L1-BNC algorithm uses the LASSO...
The work described in the paper deals with realization of a digit recognition system for the visually impaired persons. The input to the system is pressure sensor data obtained from a sensor pad with 256 capacitive pressure sensors. The objective of the system is to recognize correctly the 2-D shape of a digit which is placed on the above sensor pad. The problem is extremely challenging because the...
Combining the static feature and the dynamic path in consecutive image array of small targets, this paper proposes a detecting method for small targets in sonar image: Improving the selection of (SRG) seeded region growing method, and defining the size of searching sub window, this paper realizes the selection of suspected targets in single image that have certain SRR (signal-to-reverberation ratio),...
High-throughput microscopy allows researchers to produce large volumetric images of biological tissue at sub-micrometer resolution. Serial electron microscopy (EM) has the ability to improve three-dimensional imaging dramatically by providing nanometer-scale resolution. Serial EM data sets of brain tissue can potentially be used to reconstruct the complex structure of biological neural networks. These...
The need for a combination of a number of observation and analytical methods in a single instrument minimizes the time consuming moving of the studied sample among several devices for different applications and avoids the navigation to the studied object with features in nanometer dimensions. The high-resolution Schottky FE SEM and Ga FIB that allow imaging in different signals were combined with...
We present a new image reconstruction method for Electrical Capacitance Tomography (ECT). ECT image reconstruction is generally ill-posed because the number of measurements is small whereas the image dimensions are large. Here, Compressive Sensing is used to provide better reconstruction from the small number of measurements. Given the sparsity of the signal (image), the idea is to apply an efficient...
We consider the problem of processing high angular resolution diffusion images described by orientation distribution functions (ODFs). Prior work showed that several processing operations, e.g., averaging, interpolation and filtering, can be reduced to averaging in the space of ODFs. However, this approach leads to anatomically erroneous results when the ODFs to be processed have very different orientations...
The poor quality of medical images create bottleneck in identifying the affected bones and its exact number by the investigators. The paper aims at evolving an efficient parameterization technique to extract biomedical bone image features with the help of bone scintigraphy technique from poor resolution images. An open source software package, elastix has been used to select a proper medical image...
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