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3D reconstruction of archaeological contexts using image segmentation and Structure from Motion 22

3D reconstruction of archaeological contexts using image seg...

引用

23rd symposium on image, signal processing and Artificial Vision (STSIVA)

作者： Melo Barrera, Luis Enrique Ceron Correa, Alexander Univ Mil Nueva Granada Fac Ingn Bogota Colombia

ISBN: (纸本)9781665416696

Into the large set of techniques to elaborate 3D reconstructions, the Structure from Motion algorithms stand out because of its low cost and versatility, being these algorithms a series of computational procedures to the automated generation of dense point clouds from a set of photographs. The goal of this paper is to propose a workflow for the 3D reconstruction of archaeological objects and contexts employing a low cost UAV (Unmanned aerial vehicle) for the data capture phase, searching to evaluate and problematize the need of use expensive and specific hardware. After this data capture stage the 3D reconstruction process begins. This workflow is composed by three great phases: The generation of binary masks to select regions of interest, the production of dense point clouds and its transformation into a triangular mesh. Finally, sketch out the challenge that means aspire to determine which is the best of the generated reconstructions under quantitative frames.

关键词： Archaeological reconstruction digital heritage triangular mesh point cloud image segmentation SfM

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A novel neural network optimized by quantum genetic algorithm for signal detection in MIMO-OFDM systems

A novel neural network optimized by quantum genetic algorith...

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ieee symposium on computational intelligence in Control and Automation

作者： Li, Fei Zhou, Min Li, Haibo Institute of Signal Processing and Transmission Key Lab. of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Nanjing China Department of Applied Physics and Electronics Umeå University Umeå Sweden

ISBN: (纸本)9781424499038

Neural networks can easily fall into a local extremum and have slow convergence rate. Quantum Genetic Algorithm (QGA) has features of small population size and fast convergence. Based on the investigation of QGA, we propose a novel neural network model, Radial Basis Function (RBF) networks optimized by Quantum Genetic Algorithm (QGA-RBF model). Then we investigate the performance of the proposed QGA-RBF on solving MIMO-OFDM signal detection problem. A novel signal detector based on QGA-RBF for MIMO-OFDM system is also proposed. The simulation results show that the proposed detector has more powerful properties in bit error rate than QGA based detector, RBF based detector and MMSE algorithm based detector, namely a 4-6 dB gain in performance can be achieved. The performance of the proposed detector is closer to optimal, compared with the other detectors. © 2011 ieee.

关键词： Orthogonal frequency division multiplexing

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Collective network of evolutionary binary classifiers for content-based image retrieval

Collective network of evolutionary binary classifiers for co...

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symposium Series on computational intelligence, ieee SSCI 2011 - 2011 ieee 5th Workshop on Evolving and Adaptive Intelligent Systems, EAIS 2011

作者： Kiranyaz, Serkan Uhlmann, Stefan Pulkkinen, Jenni Gabbouj, Moncef Ince, Turker Dept. of Signal Processing Tampere University of Technology Tampere Finland Faculty of Computer Science Izmir University of Economics Izmir Turkey

ISBN: (纸本)9781424499793

The content-based image retrieval (CBIR) has been an active research field for which several feature extraction, classification and retrieval techniques have been proposed up to date. However, when the database size grows larger, it is a common fact that the overall retrieval performance significantly deteriorates. In this paper, we propose collective network of (evolutionary) binary classifiers (CNBC) framework to achieve a high retrieval performance even though the training (ground truth) data may not be entirely present from the beginning and thus the system can only be trained incrementally. The CNBC framework basically adopts a "Divide and Conquer" type approach by allocating several networks of binary classifiers (NBCs) to discriminate each class and performs evolutionary search to find the optimal binary classifier (BC) in each NBC. In such an evolution session, the CNBC body can further dynamically adapt itself with each new incoming class/feature set without a full-scale re-training or re-configuration. Both visual and numerical performance evaluations of the proposed framework over benchmark image databases demonstrate its scalability;and a significant performance improvement is achieved over traditional retrieval techniques. © 2011 ieee.

关键词： Benchmarking

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Just Noticeable Depth Difference of Human During Viewing of Dynamic Random Dot Stereograms 9

Just Noticeable Depth Difference of Human During Viewing of ...

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9th International symposium on computational intelligence and Design (ISCID)

作者： Yang, Yu Lu, Chaohui Li, Jianzeng Yao, Huanqi Commun Univ China Beijing Peoples R China Jiangsu Broadcasting Corp Nanjing Jiangsu Peoples R China

ISBN: (纸本)9781509035588

Just Noticeable Depth Difference (JNDD) describes the sensitivity of human for depth difference to Stereoscopic three Dimensional (S3D) viewing, which is an important cue in research on Human Visual System (HVS). Understanding the factors of human depth perception is helpful to the research on stereo image processing and optimization, which is heavily based on exploitation of HVS. The traditional JNDD measurement test cannot avoid the impact of monocular stimulation and psychological depth cue. In this paper, a new JNDD measurement method for only binocular stimulation and pure physiological depth cue based on dynamic Random Dot Stereogram (RDS) technique is proposed. Then subjective test are performed on a S3D display with two JNDD measurement methods: the proposed one and a traditional one for binocular disparity depth cue. The results show that observers are more sensitive to the depth difference in the proposed methods.

关键词： just noticeable depth difference percieved depth random dot stereogram stereo image

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Performance Evaluation of SVD-based Digital image Watermarking Scheme on Print-Scan and Print-Cam (PSPC) Applications

Performance Evaluation of SVD-based Digital Image Watermarki...

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International symposium on Intelligent signal processing and Communication Systems (ISPACS)

作者： Makbol, Nasrin M. Khoo, Bee Ee Rassem, Taha H. Univ Sains Malaysia Sch Elect & Elect Engn George Town Malaysia Univ Malaysia Pahang Fac Comp Syst & Software Engn Gambang 26300 Pahang Malaysia

ISBN: (纸本)9781479961207

With easy and quick data distribution over the Internet, copyright protection and authentication become important applications of digital watermarking. The image watermarking schemes that are useful to serve these applications should perform well in some of challenging applications such as print-scan and print-cam (PSPC) applications. This challenge provides an impetus for research in the digital watermarking field. In this paper, the performance and the efficiency of several proposed hybrid SVD-based digital image watermarking schemes are evaluated and studied for PSPC as well as for copyright protection and authentication.

关键词： Cams

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An Interactive City Framework: Mobile Cloud Computing Approach

An Interactive City Framework: Mobile Cloud Computing Approa...

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ieee International symposium on signal processing and Information Technology (ISSPIT)

作者： Abd El Aty, Heba M. Hassan, Hanan A. Sheta, Walaa M. Informatics Research Institute MuCSAT Egypt

ISBN: (纸本)9781467307536

This paper presents a mobile augmented reality framework for an interactive three-dimensional city. One of the challenging issues in the design of mobile scalable augmented reality systems is the limitation of computational power. The proposed framework provides a scalable, service-based and open source approach to integrate the real and virtual scene. The key strength of the proposed framework is adopting an emerging and challenging approach: Mobile Cloud Computing. The main advantage of this approach is reducing mobile constraints: limited battery life and limited memory size. The paper focus on the proposed framework architecture and rationale behind designing its infrastructure to provide interactivity and scalability features.

关键词： Virtual Reality Augmented Reality image Retrieval Location-Based Services Software as a service Mobile Computing Virtualization Three-dimensional Maps Mobile Guides Navigation Three-dimensional laser scanning

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Hyper spectral image compression based on non-iterative matrix factorization

Hyper spectral image compression based on non-iterative matr...

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ieee International Conference on computational intelligence and Computing Research (ICCIC)

作者： Nallathai, P. Jeyakumar, S. Nithiyanandam, N. BS Abdur Rahman Univ Dept ECE Madras Tamil Nadu India Agni Coll Engn & Technol Dept ECE Madras Tamil Nadu India

ISBN: (纸本)9781479915941;9781479915958

Hyper spectral images provide a more detailed information than multispectral images, as every pixel in the image contains contiguous spectral bands to characterize the details in the scene. Since hyper spectral images occupy large memory space and take more processing time for the transmission, it is highly desirable to use an efficient compression technique. In this paper we discuss hyper spectral image compression using matrix factorization based on a proposed non-iterative method and compare with the Tucker decomposition for hyper spectral image compression. The proposed non-iterative positive matrix factorization method is based on least mean square error (LMSE) criterion. Results indicate that hyper spectral image compression based on non-iterative method of matrix factorization needs less processing time, compared with compression based on Tucker decomposition.

关键词： non-iterative positive matrix factorization DWT Lossy image compression PSNR

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MODELING ANATOMICAL HETEROGENEITY IN POPULATIONS

MODELING ANATOMICAL HETEROGENEITY IN POPULATIONS

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ieee International Conference on Acoustics, Speech, and signal processing (ICASSP)

作者： Golland, Polina Sabuncu, Mert R. MIT Comp Sci & Artificial Intelligence Lab Cambridge MA 02139 USA

ISBN: (纸本)9781457705397

Our goal is to model anatomical variability across individuals, which presents substantial challenges in clinical population studies and in building atlases for segmentation. Based on a mixture model for a population, we derive an efficient algorithm that clusters a set of images while co-registering them into a common coordinate frame. The output of the algorithm is a small number of template images that represent different modes of a population. This is in contrast to traditional computational anatomy methods that assume a single template for population modeling. The experimental results demonstrate the promise of our approach for statistical analysis in clinical studies of anatomy.

关键词： Population analysis registration computational anatomy image spaces

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An Innovative Wireless Digital Microscope for Enhanced Malaria Detection and Telepathology in Remote Villages

An Innovative Wireless Digital Microscope for Enhanced Malar...

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ieee-R10 HTC ieee HNICEM

作者： Vadde, Venkatesh Shivkumar, Shashank Kulkarni, Anuja PES Univ ECE Dept Bangalore Karnataka India

ISBN: (纸本)9781467377287

Physicians and specialist pathologists are in acute short supply in developing countries, where the burden of disease is highest. Malaria is a tropical disease that is severely under-reported or misdiagnosed due to lack of physicians. A wireless digital microscope capable of automatic image acquisition, image signal processing, wireless communication for telepathology and automated malaria detection is presented in this paper with potential to alleviate the problem. The digital microscope can help detect malaria infection and also indicate the level of infection from a Giemsa stained blood smear. A medical report containing the image(s) can also be electronically transmitted for expert second opinion to a well-staffed and well-equipped but distant hospital. We show how this new tool can help take telemedicine to the remote villages or hilly towns, and significantly enhance current Malaria detection rates.

关键词： Digital microscope image processing Malaria detection telepathology infection level

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A theory of the FXLMS algorithm based on statistical-mechanical method

A theory of the FXLMS algorithm based on statistical-mechani...

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8th International symposium on image and signal processing and Analysis (ISPA)

作者： Miyoshi, Seiji Kajikawa, Yoshinobu Kansai Univ Fac Engn Sci Suita Osaka 5648680 Japan

ISBN: (纸本)9789531841948;9789531841870

We analyze the learning curves of the FXLMS algorithm using a statistical-mechanical method. Cross-correlations between the element of a primary path and that of an adaptive filter and autocorrelations of the elements of the adaptive filter are treated as macroscopic variables. We obtain simultaneous differential equations that describe the dynamical behaviors of the macroscopic variables under the conditions in which the tapped-delay line is long. We analytically solve the equations to obtain the correlations and finally compute the mean-square error. Introducing the correlation function of the input signal, the theory can treat not only the white but also the nonwhite signal. The obtained theory quantitatively agrees with the results of computer simulations.

关键词： adaptive filters correlation methods differential equations learning (artificial intelligence) mean square error methods statistical mechanics

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