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检索条件"任意字段=International Conference on Computer Vision and Image Processing, CVIP 2016"

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FPGA-based stereo vision hardware for generating dense disparity maps

FPGA-based stereo vision hardware for generating dense dispa...

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IEEE international conference on Intelligent computer Communication and processing (ICCP)

作者： Cristian-Cosmin Vancea Sergiu Nedevshi Computer Science Department Technical University of Cluj-Napoca

ISBN: (纸本)9781509039005

We propose a stereo vision hardware solution for image matching in real-time. Previous systems use dedicated special-purpose hardware and report different results in terms of performance, cost and quality. This work aims to build a library of hardware components for stereo vision systems, which can be ported to different architectures implemented in FPGA. Some modules were optimized in terms of FPGA resources used inside the chip. Meanwhile the ratio between the clock rate obtained for each component and the maximum frequency allowed by the FPGA was improved. We also introduce a multi-cycle pipeline implementation for SAD-based image matching, which facilitates a trade-off between chip area usage and operating speed.

关键词： Field programmable gate arrays Pipelines Hardware image matching computer architecture Aggregates Stereo vision

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3D facial reconstruction of based on OpenCV and DirectX

3D facial reconstruction of based on OpenCV and DirectX

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international conference on Audio, Language and image processing, ICALIP

作者： Jing Yin XiaoFang Yang College of Information Technology Shanghai Jianqiao Univercity Shanghai China

ISBN: (纸本)9781509006557

Face as a biometric identification in computer vision is an important medium, in areas such as video surveillance, animation games, security anti-terrorist has a very wide range of applications, creating vivid, strong visibility of 3d face model, now has become a challenging in the field of computer vision is one of the important topics. At first, this paper used the zhongxing-micro ZC301P cameras to build a binocular stereo vision system for recording images. After the camera calibration and binocular calibration, the three-dimensional data of facial images were extracted using the functions of OpenCV computer vision library, and then 3d face model were reconstructed preliminary by DirectX. According the reconstruction process, the human face three-dimensional reconstruction software was designed and developed. The paper laid the foundation for the next step work that is to obtain more clear and strong visibility of 3d face.

关键词： Three-dimensional displays image reconstruction Solid modeling Face Cameras Computational modeling computer vision

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Multi-font telugu text recognition using hidden Markov models and Akshara Bi-grams 10

Multi-font telugu text recognition using hidden Markov model...

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10th Indian conference on computer vision, Graphics and image processing, ICVGIP 2016

作者： Devarapalli, Koteswara Rao Negi, Atul Department of Computer Science and Engineering Mahatma Gandhi Institute of Technology Hyderabad500075 India School of Computer and Information Sciences University of Hyderabad Gachibowli Hyderabad500046 India

Recent advances in the information technology made possible to introduce many Unicode Telugu fonts for the documentation needs of present society. But the recognition of documents printed in a variety of fonts poses new challenges in building Telugu OCR systems. In this paper, we demonstrate multi-font Telugu printed word recognition using implicit segmentation approach that provides segmentation as a by-product of recognition. Our word recognition approach relies on Hidden Markov Models and akshara bi-gram language model to recognize word images in terms of aksharas (characters). The training set of word images is prepared from document images of popular books and the synthetic document images generated using 8 different Unicode fonts. The testing involves matching the feature vector sequence against sequence of akshara HMMs based on bi-grams. The CER and WER of this system are 21% and 37% respectively. The performance of our system is very encouraging. © Springer international Publishing AG 2017.

关键词： Hidden Markov models

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Interactive optic disk segmentation ia discrete convexity shape knowledge using high-order functionals 19

Interactive optic disk segmentation ia discrete convexity sh...

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19th international conference of the Catalan Association for Artificial Intelligence, CCIA 2016

作者： Escorcia-Gutierrez, José Torrents-Barrena, Jordina Romero-Aroca, Pedro Valls, Aida Puig, Domènec University Autónoma Del Caribe Colombia University Autónoma Del Caribe Departament of Computer Engineering and Mathematics University Rovira i Virgili Spain University Rovira i Virgili Spain

ISBN: (纸本)9781614996958

Diabetic Retinopathy (DR) has become nowadays a considerable worldwide threat due to increased growth of blind people at early ages. From the engineering viewpoint, the detection of DR pathologies (microaneurysms, hemorrhages and exudates) through computer vision techniques is of prime importance in medical assistance. Such methodologies outperform traditional screening of retinal color fundus images. Moreover, the identification of landmark features as the optic disk (OD), fovea and retinal vessels is a key pre-processing step to detect the aforementioned potential pathologies. In the same vein, this paper works with the wellknown Convexity Shape Prior algorithm to segment the main anatomical structure of the retina, the OD. At first, some pre-processing techniques such as the Contrast Limited Adaptive Histogram Equalization (CLAHE) and Brightness Preserving Dynamic Fuzzy Histogram Equalization (BPDFHE) are applied to enhance the image contrast and eliminate the artifacts. Subsequently, several morphological operations are performed to improve the post-segmentation of the OD. Finally, blood vessels are extracted through a novel fusion of the average, median, Gaussian and Gabor wavelet filters. © 2016 The authors and IOS Press. All rights reserved.

关键词： Blood vessels

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Boosting image retrieval framework with salient objects

Boosting image retrieval framework with salient objects

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international conference on Audio, Language and image processing, ICALIP

作者： Jianwei Sun Junfeng Wu Hong Yu Xinnian Wang Meiling Zhang Lingqiao Jiang College of Information Engineering Dalian Ocean University Dalian China School of Information Science and Technology Dalian Maritime University Dalian China

ISBN: (纸本)9781509006557

The retrieval in multimedia database is research focus in computer vision. In this paper, we propose a novel boosting image retrieval framework. In our work, a new method is proposed to extract salient objects in the images in order to eliminate the interference of the background. Then an effective framework for image retrieval is introduced with weak classifier. To evaluate the validity of the proposed algorithm, we test our approach in SIMPLIcity dataset and Corel5000 dataset. The simulation results show that the proposed framework is effective in retrieving the user-interested image.

关键词： Feature extraction image retrieval image color analysis Boosting Interference computer vision Classification algorithms

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Age range estimation based on facial wrinkle analysis using hessian based filter 2nd

Age range estimation based on facial wrinkle analysis using ...

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2nd international conference on Communication and computer Engineering, ICOCOE 2015

作者： Razalli, Husniza Rahmat, Rahmita Wirza O. K. Khalid, Fatimah Sulaiman, Puteri Suhaiza Signal Processing Lab TM Research and Development Cyberjaya Selangor Malaysia Computer Graphics Vision and Visualization Research Group Universiti Putra Malaysia Serdang Selangor Malaysia

ISBN: (纸本)9783319245829

Aging is a normal process that has an effect on different parts of the human body under the influence of various biological and environmental aspects. The most prominent changes that occur on the face are the form of the skin wrinkles, which are the main objective of this research. Specific wrinkle detection is an important task in face textural analysis. Previously, some researchers have been proposed the age range estimation based on wrinkle analysis in literature, but poor localization limits the performance of the whole age estimation process. This is because, when less number of wrinkles are detected or extracted, it will consequently affect the process to estimate the correct age. Therefore, we address this issue to enhance age range estimation method using a new approach to extract correct facial wrinkles for further analysis. We propose a method to extract facial wrinkle in face image using Hessian based filter (HBF) for age estimation. In other word, this research focus on age range estimation method based on facial wrinkle analysis extracted from facial image obtained from FG-NET database using hessian based filter. The proposed filter is theoretically straightforward, however, it significantly increases the wrinkle analysis result compared to previous methods. The result shows that HBF successfully obtained higher accuracy with over 90 % estimation rate. © Springer international Publishing Switzerland 2016.

关键词： Bandpass filters

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12th international conference on Intelligent Computing Methodologies, ICIC 2016

12th International Conference on Intelligent Computing Metho...

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12th international conference on Intelligent Computing Methodologies, ICIC 2016

ISBN: (纸本)9783319422961

The proceedings contain 80 papers. The special focus in this conference is on Optimization, Neural Network and Signal processing. The topics include: a method of reducing output waveform distortion in photovoltaic converter system;secure and pairing-free identity-based batch verification scheme in vehicle ad-hoc networks;monaural singing voice separation by non-negative matrix partial co-factorization with temporal continuity and sparsity criteria;an improved supervised learning algorithm using triplet-based spike-timing-dependent plasticity;risk and vulnerability analysis of critical infrastructure;improved binary imperialist competition algorithm for feature selection from gene expression data;a novel multi-objective bionic algorithm based on plant root system growth mechanism;group discussion mechanism based particle swarm optimization;an interactive segmentation algorithm for thyroid nodules in ultrasound images;palm image classification using multiple kernel sparse representation based dictionary learning;one novel rate control scheme for region of interest coding;heart rate variability estimation in electrocardiogram signals interferences based on photoplethysmography signals;pavement transverse profile roughness via weakly calibrated laser triangulation;a computer vision and control algorithm to follow a human target in a generic environment using a drone;multikernel recursive least-squares temporal difference learning;hyperspectral image classification with polynomial laplacian embedding;improving deep learning accuracy with noisy autoencoders embedded perturbative layers;two approaches on accelerating Bayesian two action learning automata;a novel way to collaborative filtering;simulation analysis of the availability of cloud computing data center and data scheduling for asynchronous mini-batch training on the data of sparsity.

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The significance of Real-time, biomedical and satellite image processing in understanding the objects & application to computer vision

The significance of Real-time, biomedical and satellite Imag...

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IEEE international conference on Engineering and Technology (ICETECH)

作者： T. Santha Mohana Maniganda Babu V DR.G.R.Damodaran College of Science Coimbatore India DR.G.R.Damodaran College of Science School of IT & Science Coimbatore India

ISBN: (纸本)9781467399159

The computer vision is a broader and hottest area of Digital image processing with lot of past, ongoing and future research to accomplish the mission of providing visual sense to computers as like human visual system in understanding, processing, classifying, manipulating, and recalling images based on their category. This Paper focus on providing a clear route map in describing the importance of understanding Biomedical, satellite and Real-time photographic images in application to computer vision. The aim of the current research is to Proposes a detailed study on techniques and algorithms proposed by previous researchers and to derive a best and hybrid method that can process all the different category of images and manipulate them for computers to understand the objects clearly as like humans do with the help of supervised/unsupervised algorithms by applying AI techniques.

关键词： Digital images Biomedical imaging Satellites Feature extraction image edge detection image segmentation

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Geometrically constrained sub-pixel disparity estimation from stereo images of the retinal fundus 27

Geometrically constrained sub-pixel disparity estimation fro...

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27th Annual Stereoscopic Displays and Applications conference, SD and A 2016

作者： Kharboutly, Mohamad Vázquez, Carlos Coulombe, Stéphane De Guise, Jacques MontréalQC Canada MontréalQC Canada

The aim of this study is to propose a precise disparity estimation process between retinal fundus stereoscopic images to assist during eye diagnosis and view generation for visualization. We propose a computer-vision-based solution that allows, from stereo images, the extraction of precise disparity information that could be used for clinical parameters estimation and/or the generation of multi-viewpoint images of retinal fundus. The proposed solution is based on a sub-pixel disparity estimation algorithm that takes into consideration the spherical shape of the retinal fundus. A sub-pixel approach is adopted in order to achieve high precision disparity estimation. Moreover, the a priori knowledge of the fundus geometric shape provides useful information for the regularization of the high precision disparity estimation process. Stereo images, with known ground truth, are used to evaluate the proposed algorithm and to demonstrate the high precision of estimated disparity in our methods. © 2016 Society for Imaging Science and Technology.

关键词： Stereo image processing

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Beyond stream processing — A distributed vision architecture for the Internet of Things

Beyond stream processing — A distributed vision architectur...

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IEEE international conference on Consumer Electronics (ICCE)

作者： Peter Corcoran Connected & Computational Imaging (C3I) National University of Ireland Galway

An `edge-based' image processing architecture for the internet of things (IoT) is devised, drawing on the existing image processing pipelines that are implemented in today's imaging modules in digital cameras and smartphones. A key element of this IoT framework is that image or video data does not have to be streamed across the network, but can be largely processed on the sensing nodes with metadata transmitted to intermediate control nodes that can detect certain events/conditions and trigger corresponding actions.

关键词： Imaging Smart phones computer architecture Face Hardware Metadata image processing

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