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Kernel Multilayer Perceptron

Kernel Multilayer Perceptron

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： Thomas Rauber Karsten Berns Department of Computer Science University of Espírito Santo Vitoria Espirito Santo Brazil Robotics Research Lab Department of Computer Science University of Kaiserslautern Kaiserslautern Germany

We enhance the Multi layer Perceptron to map a feature vector not only from the original d-dimensional feature space, but from an intermediate implicit Hilbert feature space in which kernels calculate inner products. The kernel substitutes the usual inner product between weight vectors and the input vector (or the feature vector of the hidden layer). The objective is to boost the generalization capability of this universal function approximator even more. Classification experiments with standard Machine Learning data sets are shown. We are able to improve the classification accuracy performance criterion for certain kernel types and their intrinsic parameters for the majority of the data sets.

关键词： Kernel Vectors Training Multilayer perceptrons Support vector machines Accuracy Hilbert space

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GPU-based motion correction of contrast-enhanced liver MRI scans: An OpenCL implementation

GPU-based motion correction of contrast-enhanced liver MRI s...

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2011 8th IEEE International symposium on Biomedical Imaging: From Nano to Macro, ISBI'11

作者： Oh, Jihun Martin, Diego Škrinjar, Oskar School of Electrical and Computer Engineering Georgia Tech Atlanta GA 30332 United States Department of Biomedical Engineering Georgia Tech. Atlanta GA 30332 United States Department of Radiology Emory University School of Medicine Atlanta GA 30322 United States

ISBN: (纸本)9781424441280

Clinical diagnosis and quantification of liver disease have been improved through the development of techniques using contrast-enhanced liver MRI sequences. To qualitatively or quantitatively analyze such image sequences, one first needs to correct for rigid and non-rigid motion of the liver. For motion correction of the liver, we have employed bi-directional local correlation coefficient Demons, which is a variation of the original Demons method. However, despite the intrinsic speed of the Demons method, the run-time on the order of an hour of its CPU-based implementation is not sufficiently short for a regular clinical use. For this reason we implemented the method on a graphics processing unit (GPU) using OpenCL. On NVIDIA GTX 260M, which is a laptop GPU, we achieved sub-minute runtime for the motion correction of typical liver MRI scans, which was 50 times faster than its CPU-based implementation. A sub-minute runtime of liver MRI motion correction allows for its regular clinical use. © 2011 IEEE.

关键词： graphics processing unit

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A New Method for Cutting Splats of Models with Sharp Features

A New Method for Cutting Splats of Models with Sharp Feature...

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： Rafael Ivo Creto Vidal Joaquim Cavalcante-Neto Departamento de computação CRAb UFC Fortaleza Brazil

Surface splatting is a fast rendering technique for point-based models that usually delivers good-quality renderings. However, the intrinsic characteristic of this technique is the treatment of points as if they were discs. That requires special processing near sharp edges and corners in order to prevent rendering artifacts from appearing. In this work, we present a clever way of clipping splats near sharp edges and corners by a classification of neighboring splats, which belong to distinct intersecting surfaces. Those neighboring splats that take part in the clipping process are called clip partners. Their concavity or convexity with respect to one another are determined, as well as their relation with the clipped splat. In our approach, there is no need of distance computations nor of other complex operations during the rendering process, since the classification can be performed offline during a pre-processing phase. The examples presented in this paper demonstrate the importance of correctly clipping splats for high quality rendering.

关键词： Silicon Equations Vectors Mathematical model Rendering (computer graphics) Adaptation models Surface treatment

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Colorization and Illumination of 2D Animations Based on a Region-Tree Representation

Colorization and Illumination of 2D Animations Based on a Re...

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： Renata Nascimento Fabiane Queiroz Allan Rocha Tsang Ing Ren Vinicius Mello Adelailson Peixoto Department of Mathematics PUC-Rio Rio de Janeiro Brazil Department of Computer Science UFPE Pernambuco Brazil Department of Computer Science PUC-Rio Rio de Janeiro Brazil Institute of Mathematics UFBA Salvador Brazil Institute of Mathematics UFAL Maceio Brazil

Colorization and illumination are key processes for creating animated cartoons. computer assisted methods have been incorporated in animation/illustration systems to reduce the artists' effort. This paper presents a new strategy for illumination and colorization of 2D drawings based on a region-tree. Starting from a hand-drawn cartoon, it extracts geometric and topological information and builds a tree structure, ensuring independence among parts of the drawing, such as curves and regions. Based on this structure and its attributes, a colorization method that propagates through consecutive frames of animation is proposed, together with an interpolation method that accurately computes a normal mapping for the illumination process. Different operators on curve and region attributes can be applied independently, obtaining different rendering effects.

关键词： Lighting Animation Vectors Interpolation image color analysis Three dimensional displays Rendering (computer graphics)

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Fast QR Code Detection in Arbitrarily Acquired images

Fast QR Code Detection in Arbitrarily Acquired Images

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： Luiz Belussi Nina Hirata Department of Computer Science Institute of Mathematics and Statistics University of Säo Paulo Sao Paulo Brazil

The detection of QR codes, a type of 2D barcode, as described in the literature consists merely in the determination of the boundaries of the symbol region in images obtained with the specific intent of highlighting the symbol. However, many important applications such as those related with accessibility technologies or robotics, depends on first detecting the presence of a barcode in an environment. We employ Viola-Jones rapid object detection framework to address the problem of finding QR codes in arbitrarily acquired images. This framework provides an efficient way to focus the detection process in promising regions of the image and a very fast feature calculation approach for pattern classification. An extensive study of variations in the parameters of the framework for detecting finder patterns, present in three corners of every QR code, was carried out. Detection accuracy superior to 90%, with controlled number of false positives, is achieved. We also propose a post-processing algorithm that aggregates the results of the first step and decides if the detected finder patterns are part of QR code symbols. This two-step processing is done in real time.

关键词： Training Prototypes Boosting Object detection Feature extraction Face detection Decoding

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The High-Pass Filtering Fusion Based on GPU

The High-Pass Filtering Fusion Based on GPU

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International symposium on computer Science and Society (ISCCS)

作者： Jun Lu Baoming Zhang Hong He Hongwei Zhang

Along with the development of the modern remote sensing technology, the acquired remote sensing image data gets more and more abundant, so the primary obstruction of the application of the remote sensing technology in the future is no longer the shortage of the image resource, but the capacity that how we can get more abundant, more useful and more credible information from the image resource. Multi-sensors remote sensing image fusion is an important apart of the information acquisition of the ground observation and also an important approach to resolve the problem of the mass remote sensing image data. The processing speed becomes a key point of an algorithm if can be in general use. In this paper we designed a high-pass filtering fusion algorithm of remote sensing image data in GPU (graphics processing Unit) using the programmability of GPU, which is a parallel vector processor. The result shows that the algorithm runs on a GPU is much faster than the CPU-based algorithm in the case of large data. And with the volumes of fusion images data getting bigger the advantage of the velocity on GPU is more obvious then on CPU.

关键词： graphics processing unit Remote sensing Filtering Rendering (computer graphics) Streaming media Programming image resolution

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The Development of a Tool for the Air Data System Calibration Flight Tests Campaign Using image processing

The Development of a Tool for the Air Data System Calibratio...

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： Luiz Eduardo Vasconcelos Nelson Leite Carlos Pinheiro Ot´vio Carpinteiro Instituto de Pesquisas e Ensaios em Voo (IPEV) São José dos Campos SP Brazil Universidade Federal de Itajubá (UNIFEI) Itajubá MG Brazil

The first Flight Test Campaign (FTC) carried out for an experimental aircraft is the calibration of its Air Data System (ADS). In this case, the altitude and airspeed measurements of the aircraft are provided by both anemometric along with the Flight Tests Instrumentation (FTI) systems that are corrupted by installation errors. Therefore, a tool was developed using techniques such as image processing in order to minimize these errors. A tool is described for detecting the position of the aircraft during a FTC through a video of the high-speed camera. The tool detects the aircraft and reference points, calculates altitude and airspeed of the aircraft and determines validity of test point in FTC. The preliminary tests of this tool showed satisfactory results compared to the current method. This paper will discuss such scenario, its preliminary development and the results through performed flights with EMBRAER Jet XAT-26 aircraft and HELIBRAS HB-350L-1 helicopter.

关键词： Aircraft Cameras Calibration Streaming media Aerospace electronics image edge detection Telemetry

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Robust foreground detection in videos using adaptive color histogram thresholding and shadow removal

Robust foreground detection in videos using adaptive color h...

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7th International symposium on Visual Computing, ISVC 2011

作者： Kolawole, Akintola Tavakkoli, Alireza University of Houston-Victoria United States

Fundamental to advance video processing such as object tracking, gait recognition and video indexing is the issue of robust background and foreground segmentation. Several methods have been explored regarding this application, but they are either time or memory consuming or not so efficient in segmentation. This paper proposes an accurate and fast foreground detection technique for object tracking in videos with quasi-stationary backgrounds. The background is modeled using a novel real-time kernel density estimations approach based on online histogram learning. It is noted that shadows are classified as part of foreground pixels if further processing on illumination conditions of the foreground regions is not performed. A developed morphological approach to remove shadows from the segmented foreground image is used. The main contribution of the proposed foreground detection approach is its low memory requirements, low processing time, suitability for parallel processing, and accurate segmentation. The technique has been tested on a variety of both indoor and outdoor sequences for segmentation of foreground and background. The data is structured in such a way that it could be processed using multi-core parallel processing architectures. Tests on dual and quad core processors proved the two and four times speed up factors achieved by distributing the system on parallel hardware architectures. A potential direction for the proposed approach is to investigate its performance on a CUDA enabled Graphic processing Unit (GPU) as parallel processing capabilities are built into our architecture. © 2011 Springer-Verlag.

关键词： graphics processing unit

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Research on CUDA-Based SIFT Registration of SAR image

Research on CUDA-Based SIFT Registration of SAR Image

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International symposium on Parallel Architectures, Algorithms and Programming (PAAP)

作者： Yang Huang Jinshuo Liu Meisheng Tu Siyuan Li Juan Deng Computer School Wuhan University of China Hubei China

This paper proposes an implementation and optimization of SIFT algorithm for SAR (Synthetic Aperture Radar) images. It improves the SIFT algorithm efficiency using the graphics processing unit (GPU) architecture based on Compute Unified Device Architecture (CUDA) framework, to attend the request of real-time remote sensing image processing. The experiments of large-size SAR image demonstrate that the algorithms achieve 57.8 times speedup.

关键词： graphics processing unit Optimization Instruction sets image registration Feature extraction Algorithm design and analysis computer architecture

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Combining Classifiers: From the Creation of Ensembles to the Decision Fusion

Combining Classifiers: From the Creation of Ensembles to the...

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Tutorials of the brazilian symposium on computer graphics and image processing (SIBGRAPI TUTORIALS)

作者： Moacir P. Ponti Jr. Institute of Mathematical and Computer Sciences (ICMC) University of São Paulo (USP) Sao Carlos Sao Paulo Brazil

Multiple classifier combination methods can be considered some of the most robust and accurate learning approaches. The fields of multiple classifier systems and ensemble learning developed various procedures to train a set of learning machines and combine their outputs. Such methods have been successfully applied to a wide range of real problems, and are often, but not exclusively, used to improve the performance of unstable or weak classifiers. In this tutorial are presented the basic terminology of the field, a discussion on the effectiveness of combination algorithms, the diversity concept, methods for the creation of an ensemble of classifiers, approaches to combine the decisions of each classifier, the recent studies and also possible future directions.

关键词： Training Bagging Boosting Pattern recognition Accuracy Silicon

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