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Intervention planning of hepatocellular carcinoma radio-frequency ablations

Intervention planning of hepatocellular carcinoma radio-freq...

International Workshop on Clinical Image-Based Procedures: From Planning to Intervention, CLIP 2012 - Held in Conjunction with MICCAI 2012

作者： Kerbl, Bernhard Voglreiter, Philip Khlebnikov, Rostislav Schmalstieg, Dieter Seider, Daniel Moche, Michael Stiegler, Philipp Portugaller, Rupert H. Kainz, Bernhard Institute for Computer Graphics and Vision Graz University of Technology Austria Department of Interventional Radiology University Hospital Leipzig Germany Department of Surgery Division of Transplantation Surgery Medical University Graz Austria

ISBN: (纸本)9783642380785

We present a software solution for planning and simulating radio-frequency ablation (RFA) treatment for patients suffering from hepatocellular carcinoma. Our software provides the graphical front-end for the results of the EU FP7 project IMPPACT. The main planning application was designed to assist with the identification of minimum-risk setups for RFA probes and generation of evaluable 3D representations of the predicted necrosis zones. Patient-specific mesh data describing the involved anatomic structures are used to individually parameterize the simulation procedure for personalized results. Our software supplies tools for extracting the required anatomic meshes from computed tomography (CT) images and for specifying custom intervention protocols. Data collected during simulations allow for detailed illustration of expected effectiveness and progress of heat-induced necrosis over time. Our software was evaluated positively by medical personnel and has been successfully put into practice at two independent European clinical sites. © Springer-Verlag 2013.

关键词： User interfaces

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High performance FPGA object detector: Hardware prototype

High performance FPGA object detector: Hardware prototype

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International Conference on Field Programmable Logic and Applications

作者： Pavel Zemčík Roman Juránek Petr Musil Martin Musil Michal Hradiš Department of Computer Graphics and Multimedia Faculty of Information Technology Brno University of Technology Brno Czech Republic

Summary form only given. In this demo, we introduce a novel architecture of an engine for high performance multi-scale detection of objects in videos based on WaldBoost training algorithm. The key properties of the architecture include processing of streamed data and low resource consumption. We implemented the engine in FPGA and we show that it can process 640 × 480 pixel video streams at over 160 FPS without the need of external memory.

关键词： Field programmable gate arrays Streaming media Engines Detectors Hardware Prototypes Videos

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High performance architecture for object detection in streamed videos

High performance architecture for object detection in stream...

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International Conference on Field Programmable Logic and Applications

作者： Pavel Zemcik Roman Juranek Petr Musil Martin Musil Michal Hradis Department of Computer Graphics and Multimedia Faculty of Information Technology Brno University of Technology Brno Czech Republic

In this paper, we introduce a novel architecture of an engine for high performance multi-scale detection of objects in videos based on WaldBoost training algorithm. The key properties of the architecture include processing of streamed data and low resource consumption. We implemented the engine in FPGA and we show that it can process 640×480 pixel video streams at over 160 fps without the need of external memory. We evaluate the design on the face detection task, compare it to state of the art designs, and discuss its features and limitations.

关键词： Feature extraction Engines Detectors computer architecture Field programmable gate arrays Videos Object detection

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Contextual Snapshots: Enriched Visualization with Interactive Spatial Annotations 13

Contextual Snapshots: Enriched Visualization with Interactiv...

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Proceedings of the 29th Spring Conference on computer graphics

作者： Peter Mindek Stefan Bruckner M. Eduard Gröller Institute of Computer Graphics and Algorithms Vienna University of Technology Department of Informatics University of Bergen

ISBN: (纸本)9781450324809

Spatial selections are a ubiquitous concept in visualization. By localizing particular features, they can be analyzed and compared in different views. However, the semantics of such selections are often dependent on other parameter settings and it can be difficult to reconstruct them without additional information. In this paper, we present the concept of contextual snapshots as an effective means for managing spatial selections in visualized data. The selections are automatically associated with the context in which they have been created. Contextual snapshots can be also used as the basis for interactive integrated and linked views, which enable in-place investigation and comparison of multiple visual representations of data. Our approach is implemented as a flexible toolkit with well-defined interfaces for integration into existing systems. We demonstrate the power and generality of our techniques by applying them to several distinct scenarios such as the visualization of simulation data and the analysis of historical documents.

关键词： spatial selections annotations linked views provenance

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Human object extraction using nonextensive fuzzy entropy and chaos differential evolution

International Journal of Signal Processing, Image Processing...

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International Journal of Signal Processing, Image Processing and Pattern Recognition 2013年第2期6卷 43-54页

作者： Nie, Fangyan Li, Jianqi Rong, Qiusheng Pan, Meisen Zhang, Fen Institute of Graphics and Image Processing Technology College of Computer Science and Technology Hunan University of Arts and Science China

Human object extraction from infrared image has broad applications, and has become an active research area in image processing community. Combined with chaos differential evolution (CDE) algorithm and morphological operators, a novel infrared human target extraction method is proposed based on nonextensive fuzzy entropy. Firstly, the image was transformed into a fuzzy domain by fuzzy membership function, and the image nonextensive fuzzy entropy was constructed. Then, the image was segmented by thresholding based on the maximum entropy principle and the pseudoadditivity rule of nonextensive entropy. In order to reduce the search time of optimal threshold selection, the CDE algorithm was presented. Finally, the object was extracted using morphological operators to denoise, fill cavity on the threshold segmented image. Experimental results show that the proposed method is efficient and requires less computation time.

关键词： Evolutionary algorithms

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Alternating Decision Forests

Alternating Decision Forests

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IEEE Conference on computer Vision and Pattern Recognition

作者： Samuel Schulter Paul Wohlhart Christian Leistner Amir Saffari Peter M. Roth Horst Bischof Institute for Computer Graphics and Vision Graz University of Technology Austria Oxford Brookes University and Sony Computer Entertainment UK

ISBN: (纸本)9781467364102

This paper introduces a novel classification method termed Alternating Decision Forests (ADFs), which formulates the training of Random Forests explicitly as a global loss minimization problem. During training, the losses are minimized via keeping an adaptive weight distribution over the training samples, similar to Boosting methods. In order to keep the method as flexible and general as possible, we adopt the principle of employing gradient descent in function space, which allows to minimize arbitrary losses. Contrary to Boosted Trees, in our method the loss minimization is an inherent part of the tree growing process, thus allowing to keep the benefits of common Random Forests, such as, parallel processing. We derive the new classifier and give a discussion and evaluation on standard machine learning data sets. Furthermore, we show how ADFs can be easily integrated into an object detection application. Compared to both, standard Random Forests and Boosted Trees, ADFs give better performance in our experiments, while yielding more compact models in terms of tree depth.

关键词： ADFs discussion evaluation Forest Classification Methods Debates Function spaces PARALLEL PROCESSING (computerS) Trees Functional training Random

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GPU-ASIFT: A fast fully affine-invariant feature extraction algorithm

GPU-ASIFT: A fast fully affine-invariant feature extraction ...

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International Conference on High Performance Computing & Simulation (HPCS)

作者： Valeriu Codreanu Feng Dong Baoquan Liu Jos B.T.M. Roerdink David Williams Po Yang Burhan Yasar Scientific Visualization and Computer Graphics Groningen Netherlands Scientific Visualization and Computer Graphics Rijksuniversiteit Groningen Groningen The Netherlands Department of Computer Science and Technology University of Bedfordshire Bedfordshire UK Rotasoft Inc. Turkey

This paper presents a method that takes advantage of powerful graphics hardware to obtain fully affine-invariant image feature detection and matching. The chosen approach is the accurate, but also very computationally expensive, ASIFT algorithm. We have created a CUDA version of this algorithm that is up to 70 times faster than the original implementation, while keeping the algorithm's accuracy close to that of ASIFT. It's matching performance is therefore much better than that of other non-fully affine-invariant algorithms. Also, this approach was adapted to fit the multi-GPU paradigm in order to assess the acceleration potential from modern GPU clusters.

关键词： graphics processing units Feature extraction Kernel Mathematical model Instruction sets Hardware Accuracy

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Hierarchical Segment Support for Categorical Image Labeling

Hierarchical Segment Support for Categorical Image Labeling

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International Conference on computer Vision Workshops (ICCV Workshops)

作者： Michael Donoser Hayko Riemenschneider Institute for Computer Graphics and Vision Graz University of Technology Austria ETH Zurich Computer Vision Lab (CVL) Switzerland

This paper introduces a novel method for categorical image labeling, where each pixel is uniquely assigned to one of a set of unordered, discrete labels. Starting from provided label-depending pixel likelihoods we (a) exploit a segment hierarchy as spatial support to define powerful priors and (b) introduce an efficient and effective inference method, that can be implemented in a few lines of code. Experiments show that competitive labeling accuracy compared to related discrete, continuous, segmentation and filtering approaches is achieved.

关键词： Image segmentation Labeling computer vision Standards Data structures Image edge detection Poles and towers

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Using a Serious Game Approach to Teach 'Operator Precedence' to Introductory Programming Students

Using a Serious Game Approach to Teach 'Operator Precedence'...

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International Conference on Information Visualisation (IV)

作者： Nicoletta Adamo-Villani Thomas Haley-Hermiz Robb Cutler Department of Computer Graphics Technology Purdue University West Lafayette IN USA Department of Computer Science Purdue University West Lafayette IN USA

In this paper we describe the design, development, formative evaluation and initial findings of one level of a serious game whose objective is to teach Information Assurance concepts to undergraduate students in introductory programming courses. The game level focuses on the concept of 'operator precedence'. The player travels through a multilevel 3- dimensional maze and at each junction in the maze he/she is required to solve a mathematical problem that involves the application of operator precedence rules. A correct answer allows the player to move closer to the maze exit, an incorrect solution moves the player farther from the end of the maze. Initial findings from a formative study with a group of 14 undergraduate students show that the game level is usable, engaging and useful for learning/reviewing the intended programming concept.

关键词： Games computers Programming profession Educational institutions Security

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Online 4d reconstruction using multi-images available under open access 24

Online 4d reconstruction using multi-images available under ...

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2018 TC V - ISPRS 24th International CIPA Symposium

作者： Ioannides, M. Hadjiprocopi, A. Doulamis, N. Doulamis, A. Protopapadakis, E. Makantasis, K. Santos, P. Fellner, D. Stork, A. Balet, O. Julien, M. Weinlinger, G. Johnson, P.S. Klein, M. Fritsch, D. Digital Heritage Lab Cyprus University of Technology Cyprus Technical University of Crete Kounopidiana Chania Greece Fraunhofer Institute for Computer Graphics Research IGD Germany DigiNext France 7Reasons GmbH Austria University of Stuttgart Germany

The advent of technology in digital cameras and their incorporation into virtually any smart mobile device has led to an explosion of the number of photographs taken every day. Today, the number of images stored online and available freely has reached unprecedented levels. It is estimated that in 2011, there were over 100 billion photographs stored in just one of the major social media sites. This number is growing exponentially. Moreover, advances in the fields of Photogrammetry and computer Vision have led to significant breakthroughs such as the Structure from Motion algorithm which creates 3D models of objects using their twodimensional photographs. The existence of powerful and affordable computational machinery not only the reconstruction of complex structures but also entire cities. This paper illustrates an overview of our methodology for producing 3D models of Cultural Heritage structures such as monuments and artefacts from 2D data (pictures, video), available on Internet repositories, social media, Google Maps, Bing, etc. We also present new approaches to semantic enrichment of the end results and their subsequent export to Europeana, the European digital library, for integrated, interactive 3D visualisation within regular web browsers using WebGl and X3D. Our main goal is to enable historians, architects, archaeologists, urban planners and affiliated professionals to reconstruct views of historical structures from millions of images floating around the web and interact with them. © 2013 Copernicus. All rights reserved.

关键词： 3D Reconstruction Augmentation computer Vision Digital Libraries Image Hosting Services Image Search Visual Search

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