Effect of Super Resolution on High Dimensional Features for Unsupervised Face Recognition in the Wild

Majority of the face recognition algorithms use query faces captured from uncontrolled, in the wild, environment. Often caused by the cameras limited capabilities, it is common for these captured facial images to be blurred or low resolution. Super resolution algorithms are therefore crucial in improving the resolution of such images especially when the image size is small requiring enlargement. This paper aims to demonstrate the effect of one of the state-of-the-art algorithms in the field of image super resolution. To demonstrate the functionality of the algorithm, various before and after 3D face alignment cases are provided using the images from the Labeled Faces in the Wild (lfw). Resulting images are subject to testing on a closed set face recognition protocol using unsupervised algorithms with high dimension extracted features. The inclusion of super resolution algorithm resulted in significant improved recognition rate over recently reported results obtained from unsupervised algorithms

Computing a Complete Histogram of an Image in Log(n) Steps and Minimum Expected Memory Requirements Using Hypercubes

This work first reviews an already-developed, existing deterministic parallel algorithm to compute the complete histogram of an image in optimal number of steps (log n) on a hypercube architecture and utilizing memory space on the order of O(x1/2 log x), where x is the number of gray levels in the image, at each processing element. The paper then introduces our improvement to this algorithm’s memory requirements by introducing the concept of randomization into the algorithm

Model for Shape and Motion Perception

Copyright 1992 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.In this paper we describe an efficient system for recovering the 3-D motion and structure of visual systems from an evolving image sequence. The technique utilizes the image flow velocities in order to recover the 3-D parameters. We develop a real-time algorithm for recovering the 2-D flow vectors on the image plane with sub-pixel accuracy. The flow estimates are then examined for the possibilities for errors, mistakes and uncertainties in the visual system. Uncertainty models are developed for the sensor and for the image processing techniques being used. Further filtering and a rejection mechanism are then developed to discard unrealistic flow estimates. The 2-D flow models are then converted into 3-D uncertainty models for motion and structure. We further develop an algorithm which iteratively improves the 3-D solution given two successive image frames and then discuss a multi-frame algorithm that improves the solution progressively by using a large number of image frames.http://dx.doi.org/10.1117/12.13518

Compressed Transmission Mode: An Optimizing Decision Tool

In this paper we address the problem of host to host communication. In particular, we discuss the issue of efficient and adaptive transmission mechanisms over possible physical links. We develop a tool for making decisions regarding the flow of control sequences and data from and to a host. The issue of compression is discussed in details, a decision box and an optimizing tool for finding the appropriate thresholds for a decision are developed. Physical parameters like the data rate, bandwidth of the communication medium, distance between the hosts, band rate, levels of discretization, signal to noise ratio and propagation speed of the signal are taken into consideration while developing our decision system. Theoretical analysis is performed to develop mathematical models for the optimization algorithm. Simulation models are also developed for testing both the optimization and the decision tool box

Operator/System Communication : An Optimizing Decision Tool

Copyright 1990 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.In this paper we address the problem of operator/system communication. In particular, we discuss the issue of efficient and adaptive transmission mechanisms over possible physical links. We develop a tool for making decisions regarding the flow of control sequences and data from and to the operator. The issue of compression is discussed in details, a decision box and an optimizing tool for finding the appropriate thresholds for a decision are developed. Physical parameters like the data rate, bandwidth of the communication medium, distance between the operator and the system, baud rate, levels of discretization, signal to noise ratio and propagation speed of the signal are taken into consideration while developing our decision system. Theoretical analysis is performed to develop mathematical models for the optimization algorithm. Simulation models are also developed for testing both the optimization and the decision tool box.http://dx.doi.org/10.1117/12.2549

Evaluating the Efficiency of Candidates for Graduate Study via Data Envelopment Analysis

© ASEE 2007In this paper, we present a DEA approach to measure the relative efficiency of applicants to the graduate programs in engineering. The proposed performance criteria are determined depending on the current evaluation criteria in the School of Engineering at the University of Bridgeport. The steps and implementation of the proposed methodology are explained with the help of a numerical example for the Fall 2004 semester

Task based synthesis of serial manipulators

Computing the optimal geometric structure of manipulators is one of the most intricate problems in contemporary robot kinematics. Robotic manipulators are designed and built to perform certain predetermined tasks. There is a very close relationship between the structure of the manipulator and its kinematic performance. It is therefore important to incorporate such task requirements during the design and synthesis of the robotic manipulators. Such task requirements and performance constraints can be specified in terms of the required end-effector positions, orientations and velocities along the task trajectory. In this work, we present a comprehensive method to develop the optimal geometric structure (DH parameters) of a non-redundant six degree of freedom serial manipulator from task descriptions. In this work we define, develop and test a methodology to design optimal manipulator configurations based on task descriptions. This methodology is devised to investigate all possible manipulator configurations that can satisfy the task performance requirements under imposed joint constraints. Out of all the possible structures, the structures that can reach all the task points with the required orientations are selected. Next, these candidate structures are tested to see whether they can attain end-effector velocities in arbitrary directions within the user defined joint constraints, so that they can deliver the best kinematic performance. Additionally least power consuming configurations are also identified

Parametric Optimization Of Some Critical Operating System Functions - An Alternate Approach To The Study Of Operating Systems Design

Operating systems theory primarily concentrates on the optimal use of computing resources. This paper presents an alternative approach to teaching and studying operating systems design and concepts by way of parametrically optimizing critical operating system functions. Detailed examples of two critical operating systems functions using the presented pedagogical approach are included.http://ojs.jstem.org/index.php?journal=JSTEM&page=article&op=view&path%5b%5d=1326&path%5b%5d=117

Design-Simulation-Optimization Package For A Generic 6-DOF Manipulator With A Spherical Wrist

Robot manipulators are built to meet certain predetermined performance requirements. The question of whether the robot will have the desired functionality (e.g. dexterity, accuracy, reliability, speed, etc.) needs to be answered before the robot is actualThis is an Author's Original Manuscript of an Article submitted for consideration in the Systems Analysis Modelling Simulation copyright Taylor & Francis; Systems Analysis Modelling Simulation is available online at http://www.tandfonline.com/http://www.tandfonline.com/doi/abs/10.1080/0232929031000150337#.VFpIMWNNfH

Ergonomic and Efficient Software Alternatives for High Cost Manipulators - Direct, Wireless and Networked Control Techniques

The process of deciding-on and purchasing the right manipulator(s) for a predetermined task can often turn to be very frustrating, especially when budget and purchase timing are essential factors. The market tends to get larger and variety driven and there is a choice for almost any given price range, however, the price / size ratio seems to remain constant. Larger scale manipulators do not show the price amortization enjoyed by the majority of computerized consumer hardware over the past few years. In addition, the manufacturers for many of these manipulators do not provide adequate pre-sales supporting technical material (whether a result of lack of standardized specifications or pure negligence), nor effective warranties and service. Primarily affected are higher level educational institutions, where manipulators are likely to be exposed to student projects that demand constant diversity and various controlling software and hardware technique. These manipulators are likely to become victims of abusive usage and, in addition, the institutions need to offer some of the highest standards of safety for the students. This paper presents a software simulation and control package applied on a specific manipulator. The package presents a significant tool in solving problems such as the above mentioned ones. In addition, the software offers a variety of implementation examples that can be directly derived from the simulation package