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IEEE International Conference on image processing

作者： Wei Quan Bogdan J. Matuszewski Lik-Kwan Shark Applied Digital Signal and Image Processing (ADSIP) Research Centre University of Central Lancashire Preston UK

This paper describes an improved 3-D facial representation method capable of modeling different types of faces without any constraint from expression, age, gender, or ethnic origin. Using the proposed technique, a 3-D face can be represented by a low dimensional shape space vector (SSV) of the statistical shape model (SSM), which is calculated through a model-based surface registration process. This model-based surface registration method consists of two major processing stages, model building and hierarchical model fitting. A statistical shape model is first built using a set of training faces. Then the model is deformed to match the new face by a modified iterative closest point (ICP) scheme. The experimental results on real 3-D facial data show that the proposed method can reasonably interpret the articulation of 3-D faces.

关键词： Shape Data models Deformable models Solid modeling Fitting Training Face recognition

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Automatic Cloud Detection in Resourcesat LISS-3 Data using Spectral Angle Similarity and Mode Seeking Reference Spectra

Automatic Cloud Detection in Resourcesat LISS-3 Data using S...

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International Conference on Industrial and Information Systems, ICIIS

作者： Indranil Misra S Manthira Moorthi Debajyoti Dhar Signal and Image Processing Group Space Applications Centre Indian Space Research Organisation Ahmedabad India

ISBN: (数字)9781728185248

ISBN: (纸本)9781728185255

Optical remote sensing images contain cloud pixels, which need to be detected and masked for different earth observation studies and applications. In literature, various algorithms are reported which can detect cloud in multi-spectral remote sensing images. In this paper, we have developed an approach based on spectral angle computation that measures the radiometric gap between a reference pixel and input image pixels. Reference spectra is determined using mode seeking technique by taking multiple cloud pixels from multi-temporal images covering different land terrain. The processing chain is developed and tested in Resourcesat LISS-3 surface reflectance data. Result section shows that technique developed can determine thick cloud pixels with high confidence interval and compared with other novel cloud detection methods.

关键词： Reflectivity Radiometry Optical imaging Optical sensors Optical reflection Remote sensing Surface treatment

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Susceptibility to paroxysmal atrial fibrillation: A study using sinus rhythm P wave parameters

Susceptibility to paroxysmal atrial fibrillation: A study us...

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作者： Cabasson, A. Dang, L. Vesin, J.M. Kappenberger, L. Leber, R. Abächerli, R. Lausanne Switzerland Clinic im Park Zürich Switzerland University of Lausanne Lausanne Heart Lausanne Switzerland Biomed. Research and Signal Processing Schiller AG Baar Switzerland EPFL STI Applied Signal Processing Group Station 11 1015 Lausanne Switzerland

ISBN: (纸本)9781424473182

Early recognition of patients at high risk for atrial fibrillation may help to minimize potential health risks. The detection of susceptibility to develop atrial fibrillation is thus a real clinical challenge. Whereas many studies have used the signal-averaged P wave, the aim of this work is to determine whether electrocardiographic parameters resulting from the analysis of the P wave in ECG recorded during sinus rhythm could be markers for paroxysmal atrial fibrillation susceptibility. Our idea was to compare the ECG in sinus rhythm from two populations: healthy people and patients subject to paroxysmal atrial fibrillation. In addition to standard P wave parameters (P width, P-R interval,. . ), the Euclidean distance between beat-to-beat P waves, which has been rarely addressed in this context, was studied on lead V1. Significant differences between the healthy and the paroxysmal atrial fibrillation groups were obtained for various parameters. Moreover, a classification of the two groups based on the joint analysis of P width and P-R interval was suggested. This proposed classification could lead to an effective identification of patients at risk to develop atrial fibrillation.

关键词： Electrocardiograms

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Broadband gsc beamformer with spatial and temporal decorrelation

Broadband gsc beamformer with spatial and temporal decorrela...

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17th European signal processing Conference, EUSIPCO 2009

作者： Koh, Choo Leng Redif, Soydan Weiss, Stephan Communications Research Group School of ECS University of Southampton United Kingdom Engineering Faculty Near East University Nikosia Turkey Centre for Excellence in Signal and Image Processing Dept. of EEE University of Strathcylde Glasgow United Kingdom

Broadband adaptive beamforming algorithms based on the least mean square (LMS) family are known to exhibit slow convergence, if the input is correlated. In this paper, we will utilised a recently proposed broadband eigenvalue decomposition method to provide strong spatial decorrelation, while at the same time reduces the subspace in which the beamforming algorithm operates. Additional temporal decorrelation is gained by operating the beamformer in oversampled filter banks. Hybrid structures which combine both spatial and temporal decorrelation demonstrate to provide faster convergence speed than the normalised LMS algorithm or either of the decorrelation approach on its own. © EURASIP, 2009.

关键词： Eigenvalues and eigenfunctions

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Train rolling stock video segmentation and classification for bogie part inspection automation: a deep learning approach

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Journal of Engineering and applied Science 2022年第1期69卷 1-24页

作者： Krishnamohan, Kaja Prasad, Ch. Raghava Kishore, P.V.V. Department of Electronics and Communications Engineering K.L. University Green Fields Vaddeswaram Andhra Pradesh Guntur DT522 502 India Image Speech and Signal Processing Research Group Department of Electronics and Communications Engineering Biomechanics and Vision Computing Research Center K.L. University Green Fields Vaddeswaram Andhra Pradesh Guntur DT522 502 India

Train rolling stock examination (TRSE) is a physical procedure for inspecting the bogie parts during transit at a little over 30 kmph. Currently, this process is manually performed across many railway networks across the world. This work proposes to automate the process of TRSE using artificial intelligence techniques. The previous works have proposed active contour-based models for the segmentation of bogie parts. Though accurate, the models require manual intervention and are found to be iterative making them unsuitable for real-time operations. In this work, we propose a segmentation model followed by a deep learning classifier that can accurately increase the deployability of such systems in real time. We apply the UNet model for the segmentation of bogie parts which are further classified using an attention-based convolutional neural network (CNN) classifier. In this work, we propose a shape deformable attention model to identify shape variations occurring in the video sequence due to viewpoint changes during the train movement. The TRSNet is trained and tested on the high-speed train bogie videos captured across four different trains. The results of the experimentation have been shown to improve the recognition accuracy of the proposed system by 6% over the state-of-the-art classifiers previously developed for TRSE. © 2022, The Author(s).

关键词： Iterative methods

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Inter-view Reference Frame Selection in Multi-view Video Coding

Inter-view Reference Frame Selection in Multi-view Video Cod...

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Data Compression Conference (DCC)

作者： Guang Y. Zhang Abdelrahman Abdelazim Stephen James Mein Martin Roy Varley Djamel Ait-Boudaoud Applied Digital Signal and Image Processing Research Centre University of Central Lancashire UK University of Portsmouth UK

ISBN: (纸本)9781467360371

Summary form only given. Multiple video cameras are used to capture the same scene simultaneously to acquire the multiview view coding data, obviously, over-large data will affect the coding efficiency. Due to the video data is acquired from the same scene, the inter-view similarities between adjacent camera views are exploited for efficient compression. Generally, the same objects with different viewpoints are shown on adjacent views. On the other hand, containing objects at different depth planes, and therefore perfect correlation over the entire image area will never occur. Additionally, the scene complexity and the differences in brightness and color between the video of the individual cameras will also affect the current block to find its best match in the inter-view reference picture. Consequently, the temporal-view reference picture is referred more frequently. In order to gain the compression efficiency, it is a core part to disable the unnecessary inter-view reference. The idea of this paper is to exploit the phase correlation to estimate the dependencies between the inter-view reference and the current picture. If the two frames with low correlation, the inter-view reference frame will be disabled. In addition, this approach works only on non-anchor pictures. Experimental results show that the proposed algorithm can save 16% computational complexity on average, with negligible loss of quality and bit rate. The phase correlation process only takes up 0.1% of the whole process.

关键词： Correlation Educational institutions Motion estimation Video coding PSNR Data compression image processing

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Pseudo Real-Time System for Visualisation of 3D Scenes

Pseudo Real-Time System for Visualisation of 3D Scenes

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International Conference on Geometric Modeling and Imaging, GMAI

作者： Bo Tang Djamel Ait-Boudaoud Lik-Kwan Shark Bogdan J. Matuszewski Applied Digital Signal and Image Processing Research Centre Department of Technology University of Central Lancashire Preston UK

A novel pseudo real-time 3D visualisation system is proposed in this paper. The proposed system has been developed using the TI (Texas instruments) DM642 EVM board which is a standalone digital media processing board. The system also includes a stereo video capture module consisting of two PAL cameras and a 3D display unit for visualisation of 3D video input. The core algorithm utilises images captured from the cameras and generates 6 virtual in between views using interpolation techniques. The combined views (eight views of 2D images) are displayed on the 3D monitor using a proprietary method developed specifically for X3D monitors. The advantage of the proposed system is that real 3D impressions are able to be visualised in front of the 3D monitor in pseudo real-time without any special glasses. The proposed system has been evaluated on a number of real scenes. The limitations of our system will be discussed and the corresponding solutions will be given at the end of this paper.

关键词： Real time systems Visualization Layout Cameras Three dimensional displays Monitoring Interpolation Random access memory Auditory displays Universal Serial Bus

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High-resolution comprehensive 3-D dynamic database for facial articulation analysis

High-resolution comprehensive 3-D dynamic database for facia...

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International Conference on Computer Vision Workshops (ICCV Workshops)

作者： Bogdan J. Matuszewski Wei Quan Lik-Kwan Shark Applied Digital Signal and Image Processing (ADSIP) Research Centre University of Central Lancashire Preston Lancashire UK

Face is an essential medium for complex non-verbal communication between humans. Its articulation plays an important role in everyday life, including: manifestation of emotional and awareness states, cognitive activity, personality or wellbeing. With the advances in 3-D imaging technology and ever increasing computing power, automatic analysis of facial articulation using 3-D sequences has become viable. This paper describes a newly developed high-resolution, comprehensive 3-D dynamic facial articulation database which is designed not only for comparative studies of facial expression analysis but also to aid research into clinical diagnosis of facial dysfunctions. The database currently contains 3,360 facial sequences captured from 80 volunteers of various age, gender and ethnicity and will be made available to the wider research community in early autumn 2011. It has been validated using computer-based experiments as well as psychophysical experiments that were used to formally evaluate the accuracy of the recorded expressions. This database is believed to be one of the most comprehensive repositories of facial 3D dynamic articulations to date.

关键词： Databases Observers Humans Face Algorithm design and analysis Solid modeling Cameras

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Geometric Correction and Mosaic Generation of Geo High Resolution Camera images

arXiv

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arXiv 2024年

作者： Garg, Ankur Thapa, Nitesh Sangar, Ghansham Gaur, Neha Sarkar, Meenakshi Moorthi, S. Manthira Dhar, Debajyoti Signal and Image Processing Group Space Applications Center Indian Space Research Organisation Ahmedabad380015 India

The Geo High Resolution Camera (GHRC) aboard the GSAT-29 satellite, operated by the Indian Space research Organization (ISRO), is a cutting-edge 6-band Visible and Near Infrared (VNIR) imager positioned in geostationary orbit at 55°E longitude. It achieves a ground sampling distance of 55 meters at nadir and covers an instantaneous area of 110x110 km, capturing imagery of the entire Earth’s disk thanks to its scan mirror mechanism. To comprehensively cover India, the GHRC employs a two-dimensional raster scanning technique, resulting in over 1,000 scenes that need to be skillfully stitched together into a seamless mosaic. This paper outlines the geolocation model and identifies potential sources of error affecting targeting accuracy. It also conducts an evaluation of the location accuracies. Challenges related to inter-band registration and inter-frame mosaicing with the GHRC are addressed. Several algorithms have been devised to address geometric correction, band-to-band registration, and seamless mosaic generation. Notably, adjustments to the instrument’s interior alignment angles, guided by ground reference images during in-flight geometric calibration, have significantly improved pointing and location precision. A groundbreaking backtracking algorithm has been developed to rectify frame-to-frame mosaicing errors for large-scale mosaic generation. This algorithm harnesses a combination of geometric models, advanced image processing techniques, and space resection. As a result of these advancements, operational generation of full India mosaics with 100-meter resolution and high geometric fidelity is now a reality. These accomplishments mark substantial progress in the capabilities of the GHRC and hold profound implications for applications in Earth observation and monitoring. Copyright © 2024, The Authors. All rights reserved.

关键词： Mirrors

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Advancements in Data processing and Calibration for the Hyperspectral Imaging Satellite (HySIS)

arXiv

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arXiv 2024年

作者： Garg, Ankur Patil, Abhishek Sarkar, Meenakshi Moorthi, S. Manthira Dhar, Debajyoti Signal and Image Processing Group Space Applications Center Indian Space Research Organisation Ahmedabad380015 India

Hyperspectral imaging stands as a powerful tool in Earth exploration, owing to its exceptional ability to discern intricate spectral features. India has harnessed this capability through the launch of a dedicated hyperspectral earth observation satellite. This satellite is designed to scrutinize the Earth’s surface across a broad electromagnetic spectrum range spanning from 400 nm to 2500 nm, capturing an extensive array of spectral information. One of the key strengths of this satellite lies in its impressive spatial sampling resolution of 30 meters. This high resolution further amplifies its imaging prowess, enabling it to capture detailed and accurate data about the Earth’s surface features. This paper offers a comprehensive account of the meticulous calibration procedures that were meticulously executed during the pre-launch phase. Calibration is a critical process in ensuring the accuracy and reliability of the data captured by the satellite. This involved a series of precise adjustments and measurements to fine-tune the satellite’s imaging instruments, ensuring that they were operating at their optimal levels. The paper also highlights the achieved performance metrics, showcasing the satellite’s capability to deliver high-quality, detailed imagery of the Earth’s surface. These metrics serve as a testament to the effectiveness of the calibration procedures carried out prior to the satellite’s launch. Furthermore, the paper outlines the rigorous in-orbit radiometric and geometric calibration and validation endeavors that were conducted during the commissioning phase of the mission. This phase involved further fine-tuning and validation of the satellite’s instruments in the actual space environment. It ensured that the satellite was operating accurately and reliably in orbit, ready to fulfill its mission objectives. In addition, the paper sheds light on the observations made and anomalies encountered during the in-orbit phase. These observations provide valuable

关键词： Network security

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