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Mobile networks employing higher data rate and speed have been investigated for deployment of 5G mobile communication systems in urban microcellular environment. One of the approaches to achieve this goal, frequencies between 6 and 100 GHz are candidate to be utilized due to rich frequency spectrum. However radio propagation loss in these high frequencies is not characterized yet. Ray tracing (RT)...
This paper presents a robust method of local deformation analysis of the heart's left ventricle (LV) aimed at specifying the affected area. Our method is based on regional curvature variation calculation using the Hotelling T2 two samples difference metric. It has been validated with real data obtained from myocardial scintigraphy imaging techniques of 44 patients. For each patient we extract 3D surfaces...
There is currently no method for assessing the nature of the cell niche provided by 3D biomaterial scaffolds. Analyzing human bone marrow stromal cell (hBMSC) 3D cell shape in response to different biomaterial scaffolds allowed the 3D cell niche promoted by biomaterial scaffolds to be evaluated. Primary hBMSCs (p5) were seeded (5,000 cells/cm2) in 10 different biomaterial scaffolds and cultured for...
This paper introduces a hierarchical framework that is capable of learning complex sequential tasks from human demonstrations through kinesthetic teaching, with minimal human intervention. Via an automatic task segmentation and action primitive discovery algorithm, we are able to learn both the high-level task decomposition (into action primitives), as well as low-level motion parameterizations for...
Content Based Image Retrieval (CBIR) is a developing trend in Digital Image Processing for searching and retrieving the query image from wide range of databases. Conventional content-based image retrieval (CBIR) schemes have following limitations: 1. It is slow 2. difficult to label negative examples; 3. Accuracy is poor in a single step; 4. users may introduce some noisy examples into the query....
This paper develops a formal test to compare populations of shapes of objects given these population samples. The setup involves sets of shapes extracted from different images, and the goal is to equate the underlying populations and not just the individual shapes. While past works have successfully derived shape metrics and individual shape models, the problem of comparing populations using sampled...
We introduce a light-weight automatic method to quickly capture and recover 2.5D multi-room indoor environments scaled to real-world metric dimensions. To minimize the user effort required, we capture and analyze a single omni-directional image per room using widely available mobile devices. Through a simple tracking of the user movements between rooms, we iterate the process to map and reconstruct...
A modern smartphone is a convenient and capable tool for document capture. However, without proper enhancement, a casually taken digital photograph is likely to bear visual artifacts of its capture and offers limited utility as a document. Detection of quadrilateral document borders enables perspective correction and cropping, two critical tasks in the enhancement pipeline. This paper presents a method...
Robust and automatic segmentation of the reflected laser lines from the arc light modified background is prerequisite for the subsequent measurement of the weld pool shape which is of great importance for monitoring robotic arc welding. In this paper, the two dimensional intensity distribution caused by the arc light in the captured image is modeled. Based on the model, we propose an efficient and...
The streaming data scenario has brought about unique challenges with it, like outliers detection, large dimensionality and the issue of scalability being at primary focus. The temporal locality is a quite important while, processing evolving data stream (EDS). The inherit patterns present in the data evolves, and hence, the past clusters are no longer valid to the future and also the initial centroids...
We propose a Riemannian quasi-Newton method to compute a geodesic invariant to scaling, translation, rotation and reparameterization and show that it is more efficient than the current state-of-the-art coordinate-descent/path-straightening approach.
Nowadays information retrieval systems get more attention due to the increasing use of multimedia technologies. The information may be in the form of video, image, sound and/or text. Application of surveillance, digital libraries, web applications and various other applications that handle enormous volume of data essentially have information retrieval components. This paper demonstrates an image retrieval...
Automatic matching of optical and SAR images could be challenging due to the significant non-linear intensity differences caused by radiometric variations among such images. To address this problem, this paper utilize the Shape Property to detect the correspondences between images. A new shape descriptor is first built on the basis of the local self-similarity descriptor. Then, the normalized correlation...
Non-rigid structure-from-motion in an on-line setting holds many promises for useful applications, and off-line reconstruction techniques are already very advanced. Literature has only recently started focusing on on-line reconstruction, with only a handful of existing techniques available. Here we propose a novel method of history representation which utilizes the advances in off-line reconstruction...
Detection and tracking of moving objects in video sequences are essential for many computer vision applications & it is considered as a challenging research issue due to dynamic changes in objects or background appearance, illumination, shape and occlusions. In this article, we proposed a robust algorithm to detect moving objects in a video, based on the combination of discrete cosine transform...
In this paper, we first propose a novel no-reference (NR) image quality assessment (IQA) method for retargeted image based on the rank learning approach. Firstly, image features for each retargeted image are extracted, which should not only represent the image characteristics but also be sensitive to the retargeted distortions. Specifically, the image feature should be able to capture the shape distortions,...
We have studied the problem of retrieval of arbitrary object instances from a large point cloud data set. The context is autonomous robots operating for long periods of time, weeks up to months and regularly saving point cloud data. The ever growing collection of data is stored in a way that allows ranking candidate examples of any query object, given in the form of a single view point cloud, without...
Large codebases — in the order of millions of lines of code (MLOC) — are incredibly complex. Whether fixing a fault, or implementing a new feature, changes to such systems often have unanticipated effects, as it is impossible for a developer to maintain a complete understanding of the code in their head.
Recovering the 3-D LV shape from non-rotational bi-planar x-ray angiograms is a very challenging task. The inherently sparse and noisy data available for reconstruction and the ill-posed nature of the inverse problem necessitate the incorporation of a-priori information. To this end, a statistical shape model of the LV anatomy is learned from high-resolution multi-slice CT data. Reconstruction is...
The demand of 3D object retrieval became urgent according to the widely use of 3D printer. In this paper, a 3D object retrieval method is proposed using multiple features and manifold ranking. Five descriptors are concatenated to be a new feature vector of length 792 for 3D object retrieval. They are angular radial transform-based elevation descriptor(ART-ED), principal plane descriptor(PPD), 3D-angular...
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