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15th International conference in Central Europe on computer graphics, Visualization and computer vision

作者： Steinmetz, Sarah Pellenz, Johannes Paulus, Dietrich Univ Koblenz Landau Act Vis Grp D-56070 Koblenz Germany

ISBN: (纸本)9788086943985

In this contribution we present a comprehensive method to extract connected planar polygons from a range image acquired by a laser range camera. the result is a boundary representation of the objects in the scene. the approximation of the detected planes by three-dimensional polygons call be used as a source for feature-based registration of sequential range images. We focus on the processing of range images that are segmented into planar regions. the polygon of each plane is extracted by incremental line fitting on the 2D contour of the segmented region projected onto the xy plane followed by the propagation to the corresponding 3D-plane. We present a novel idea for joining these three dimensional polygons. Due to sparsely distributed depth values of inclined planes and noise in areas of object edges, some planes cannot be segmented completely. therefore object edges that actually represent one edge drift apart in 3D. Such edges are detected and joined, the direction in which each edge is moved, is determined by a confidence measure, depending on the slope of the plane. We describe our experiments on range data of scenes containing planar as well as curved surfaces and give quantitative results. the estimates are compared to measurements that were manually taken. For cubic objects we compare the angles of the estimated polygons to the expected orthogonality. For approximately 70 planar surface patches we get an average error of 5 degrees. 83 percent of successfully segmented lines are joint correctly by the algorithm.

关键词： 3D model reconstruction boundary representation range image processing computer vision

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Leveraging information from imperfect examples : Common action sequence mining from a mix of incorrect performances 11

Leveraging information from imperfect examples : Common acti...

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11th indian conference on computer vision, graphics and image processing (ICVGIP)

作者： Jain, Hiteshi Harit, Gaurav Indian Inst Technol Jodhpur Jodhpur Rajasthan India

ISBN: (纸本)9781450366151

As much as good representation and theory are needed to explain human actions, so are the action videos used for learning good segmentation techniques. To accurately model complex actions such as diving, figure skating, and yoga practices, videos depicting action by human experts are required. Lack of experts in any domain leads to reduced number of videos and hence an improper learning. In this work we attempt to utilize imperfect amateur performances to get more confident representations of human action sequences. We introduce a novel Community Detection based unsupervised framework that provides mechanisms to interpret video data and address its limitations to produce better action representation. Human actions are composed of distinguishable key poses which form dense communities in graph structures. Anomalous poses performed for a longer duration can also form such dense communities but can be identified based on their rare occurrence across action videos and be rejected. Further, we propose a technique to learn the temporal order of these key poses from these imperfect videos, where the inter community links help reduce the search space of many possible pose sequences. Our framework is seen to improve the segmentation performance of complex human actions with the help of some imperfect performances. the efficacy of our approach has been illustrated over two complex action datasets - Sun Salutation and Warm-up exercise, that have been developed using random executions from amateur performers.

关键词： Unsupervised Anomaly Detection network modeling community detection human action segmentation

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Real-time human action recognition from motion capture data

Real-time human action recognition from motion capture data

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2013 4th National conference on computer vision, Pattern Recognition, image processing and graphics, NCVPRIPG 2013

作者： Vantigodi, Suraj Venkatesh Babu, R. Video Analytics Lab SERC Indian Institute of Science Bangalore India

ISBN: (纸本)9781479915880

Recognition of human actions is one of the important tasks in various computer vision applications including video surveillance, human computer interaction etc. Traditionally RGB or depth cameras are utilized for this task. In this work we propose an approach that utilizes motion capture data for recognizing actions. Motion capture provides accurate motion information of joints of body in 3D space. the 3D skeleton joint co-ordinates of the user provided by motion capture system are used to analyze the dynamics of the action being performed. the temporal variance of each joint of the skeleton and its time weighted variance serve as the features for classification. the time weighted variance feature embeds temporal information in the feature and helps in discriminating confusing actions such as sit-down and stand-up. these features can be extracted rapidly and suitable for real-time recognition. We demonstrate the performance of the proposed approach using correlation based metric and support vector machines (SVM) on the Multi-modal Human Action Detection dataset. the recognition accuracy of above 95% has been achieved. © 2013 IEEE.

关键词： Support vector machines

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Semi-automatic Vortex Flow Classification in 4D PC-MRI Data of the Aorta

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computer graphics FORUM 2016年第3期35卷 351-360页

作者： Meuschke, M. Koehler, B. Preim, U. Preim, B. Lawonn, K. Univ Magdeburg Dept Simulat & Graph D-39106 Magdeburg Germany Municipal Hosp Dept Diagnost Radiol Magdeburg Germany Univ Koblenz Landau Inst Computat Visualist Mainz Germany

We present an Aortic Vortex Classification (AVOCLA) that allows to classify vortices in the human aorta semi-automatically. Current medical studies assume a strong relation between cardiovascular diseases and blood flow patterns such as vortices. Such vortices are extracted and manually classified according to specific, unstandardized properties. We employ an agglomerative hierarchical clustering to group vortex-representing path lines as basis for the subsequent classification. Classes are based on the vortex' size, orientation and shape, its temporal occurrence relative to the cardiac cycle as well as its spatial position relative to the vessel course. the classification results are presented by a 2D and 3D visualization technique. To confirm the usefulness of both approaches, we report on the results of a user study. Moreover, AVOCLA was applied to 15 datasets of healthy volunteers and patients with different cardiovascular diseases. the results of the semi-automatic classification were qualitatively compared to a manually generated ground truth of two domain experts considering the vortex number and five specific properties.

关键词： Categories and Subject Descriptors (according to ACM CCS) I.4.9 [computer graphics]: image processing and computer vision&mdash Applications

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Proceedings of the Satellite Workshops of ICVGIP 2021 1

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丛书名： Lecture Notes in Electrical Engineering

1000年

作者： Uma Mudenagudi Aditya Nigam Ravi Kiran Sarvadevabhatla Ayesha Choudhary

ISBN: (数字)9789811941368

ISBN: (纸本)9789811941351;9789811941382

this book constitutes peer-reviewed proceedings of satellite workshops of the 12th indian conference on computer vision, graphics, and image processing (ICVGIP 2021). the book focuses on medical image processing, digital heritage, document analysis and recognition, and computer vision applications. the first part includes submissions on digital archiving and restoration methods with interesting and innovative research components. the second part focuses on medical imaging modalities including MRI, X-ray, CT, imaging in nuclear medicine, medical ultrasound, optical and confocal microscopy, and video and range data images. the third part deals with document analysis and recognition and focuses on text recognition, document layout analysis, understanding, historical and degraded document analysis, datasets, performance evaluation, metrics, etc. the fourth part of this book includes research work from academia and industry across the globe on smart, innovative, and practical applications of computer vision for industrial and societal impact. this book shares innovative ideas, experience and expertise, and ongoing research ideas and will be helpful for researchers and practitioners in academia and industry.

关键词： Signal, image and Speech processing computer Imaging, vision, Pattern Recognition and graphics Data Structures and Information theory Artificial Intelligence

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Medical image Computing and computer-Assisted Intervention – MICCAI 2012 1

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丛书名： Lecture Notes in computer Science

1000年

作者： Nicholas Ayache Hervé Delingette Polina Golland Kensaku Mori

ISBN: (数字)9783642334184

ISBN: (纸本)9783642334177

the three-volume set LNCS 7510, 7511, and 7512 constitutes the refereed proceedings of the 15th International conference on Medical image Computing and computer-Assisted Intervention, MICCAI 2012, held in Nice, France, in October 2012. Based on rigorous peer reviews, the program committee carefully selected 252 revised papers from 781 submissions for presentation in three volumes. the second volume includes 82 papers organized in topical sections on cardiovascular imaging: planning, intervention and simulation; image registration; neuroimage analysis; diffusion weighted imaging; image segmentation; computer-assisted interventions and robotics; and image registration: new methods and results.

关键词： image processing and computer vision Pattern Recognition computer graphics Artificial Intelligence Imaging / Radiology Health Informatics

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Feature Extraction and Simplification from colour images based on Colour image Segmentation and Skeletonization using the Quad-Edge data structure

Feature Extraction and Simplification from colour images bas...

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15th International conference in Central Europe on computer graphics, Visualization and computer vision

作者： Sharma, Ojaswa Mioc, Darka Anton, Francois Univ New Brunswick Dept Geodesy & Geomat Engn Fredericton NB E3B 5A3 Canada

ISBN: (纸本)9788086943022

Region features in colour images are of interest in applications such as mapping, climatology, change detection, medicine, etc. this research work is an attempt to automate the process of extracting feature boundaries from colour images. this process is an attempt to eventually replace manual digitization process by computer assisted boundary detection and conversion to a vector layer in a spatial database. In colour images, various features can be distinguished based on their colour. the features thus extracted as object border can be stored as vector maps in a spatial database after labelling and editing. Here, we present a complete methodology of the boundary extraction and skeletonization process from colour imagery using a colour image segmentation algorithm, a crust extraction algorithm and our new skeleton extraction algorithm. We also present a prototype application for completely automated or semi-automated processing of (satellite) imagery and scanned maps with an application to coastline extraction. Other applications include extraction of fields, clear cuts, clouds, as well as heating or pollution monitoring and dense forest mapping among others.

关键词： colour image segmentation polygon feature extraction satellite imagery

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Heritage app: Annotating images on mobile phones 12

Heritage app: Annotating images on mobile phones

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8th indian conference on computer vision, graphics and image processing, ICVGIP 2012

作者： Panda, Jayaguru Sharma, Shashank Jawahar, C.V. IIIT-Hyderabad India

ISBN: (纸本)9781450316606

In this paper, we demonstrate a computer vision application on mobile phones. One can take a picture at a heritage site/monument and obtain associated annotations on a mid-end mobile phone instantly. this does not require any communication of images or features with a remote server, and all the necessary computations take place on the phone itself. We demonstrate the app on two indian heritage sites: Golkonda Fort and Hampi Temples. Underlying our application, we have a Bag of visual Words (BoW) image retrieval system, and an annotated database of images. In the process of developing this mobile app, we extend the performance, scope and applicability of computer vision techniques: (i) we do a BoW-based image retrieval on mobile phones from a database of 10K images within 50 MB of storage and 10 MB of RAM. (ii) we introduce a vocabulary pruning method for reducing the vocabulary size. (iii) we design a simple method of database pruning, that helps in reducing the size of the inverted index by removing semantically similar images. In (ii) and (iii), we demonstrate how memory(RAM) and computational speed can be optimized without any loss in performance. © 2012 ACM.

关键词： image retrieval

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GPU-Accelerated Human Motion Tracking Using Particle Filter Combined with PSO

GPU-Accelerated Human Motion Tracking Using Particle Filter ...

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15th International conference on Advanced Concepts for Intelligent vision Systems (ACIVS)

作者： Rymut, Boguslaw Kwolek, Bogdan Krzeszowski, Tomasz Rzeszow Univ Technol Rzeszow Poland AGH Univ Sci & Technol PL-30059 Krakow Poland

ISBN: (纸本)9783319028958;9783319028941

this paper discusses how to combine particle filter (PF) with particle swarm optimization (PSO) to achieve better object tracking. Owing to multi-swarm based mode seeking the algorithm is capable of maintaining multimodal probability distributions and the tracking accuracy is far better than accuracy of PF or PSO. We propose parallel resampling scheme for particle filtering running on GPU. We show the efficiency of the parallel PF-PSO algorithm on 3D model based human motion tracking. the 3D model is rasterized in parallel and single thread processes one column of the image. Such level of parallelism allows us to efficiently utilize the GPU resources and to perform tracking of the full human body at rates of 15 frames per second. the GPU achieves an average speedup of 7.5 over the CPU. For marker-less motion capture system consisting of four calibrated cameras, the computations were conducted on four CPU cores and four GTX GPUs on two cards.

关键词： graphics processing unit

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Proceedings of IMTA-5 2015 - 5th International Workshop on image Mining. theory and Applications, in conjunction with the 10th Internatioanal Joint conference on computer vision, Imaging and computer graphics theory and Applications, VISIGRAPP 2015

Proceedings of IMTA-5 2015 - 5th International Workshop on I...

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5th International Workshop on image Mining. theory and Applications, IMTA-5 2015 - In conjunction with the 10th Internatioanal Joint conference on computer vision, Imaging and computer graphics theory and Applications, VISIGRAPP 2015

ISBN: (纸本)9789897580949

the proceedings contain 15 papers. the topics discussed include: development of the logic programming approach to the intelligent monitoring of anomalous human behaviour;location of pupil contour by Hough transform of connectivity components;testing an image mining approach to obtain pressure ulcers stage and texture;on image representing in image analysis;a variational method to remove the combination of Poisson and Gaussian noises;PRIAR using a graph segmentation method;virtual immersive environments for underwater archaeological exploration;current trends in mathematical image analysis - a survey;human pose estimation in video via MCMC sampling;signal processing for underwater archaeology;experimenting an embedded-sensor network for early warning of natural risks due to fast failures along railways;selective use of optimal image resolution for depth from multiple motions based on gradient scheme;and blood flow prediction and visualization within the aneurysm of the middle cerebral artery after surgical treatment.

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