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检索条件"任意字段=Proceedings of the 11th Indian Conference on Computer Vision, Graphics and Image Processing"

共 557 条记录，以下是331-340 订阅

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Shift-map based stereo image retargeting with disparity adjustment

Shift-map based stereo image retargeting with disparity adju...

引用

11th Asian conference on computer vision, ACCV 2012

作者： Qi, Shaoyu Ho, Jeffrey University of Florida United States

ISBN: (纸本)9783642374463

this paper introduces a novel image retargeting algorithm for 3D images given as pairs of stereo images. In the context of 3D image retargeting, the novel viewpoint advocated in this paper is that the geometric consistency in the form of preserving disparity values should not be an overpowering objective formulated as hard constraints. Instead, for maximizing viewing experience and comfort, it is desirable to simultaneously retarget the images as well as adjust the disparity values. the proposed retargeting algorithm is based on the methods of shift-map and importance filtering, and the main technical contribution of this paper is a successful extension of these earlier techniques to 3D images. We have evaluated the proposed method extensively, and the results demonstrate the efficiency of the proposed method as well as its potential for producing high-quality outputs. In particular, comparing with the state-of-the-art, the proposed method has a considerably shorter running time, and at the same time, it produces the retargeted 3D images that are more agreeable and pleasing for viewing. © 2013 Springer-Verlag.

关键词： Stereo image processing

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Performance enhancement of map-reduce framework on GPU

Performance enhancement of map-reduce framework on GPU

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11th IASTED International conference on Parallel and Distributed Computing and Networks, PDCN 2013

作者： Parakh, Arun Kumar Balakrishnan, Meenakshi Paul, Kolin Department of Computer Science and Engineering Indian Institute of Technology Delhi Hauz Khas New Delhi India

ISBN: (纸本)9780889869431

the objective of this work is to get benefit of advancement in GPU technologies in the state of art software framework. We have analyzed the existing map-reduce (MR) framework and modify the same for new GPU architectures. We have identified some significant possibilities for improvement. these improvements are mainly in the context of the different GPU architectures, which were introduced after the development of the MR framework. Our experiments show an average of 2.5x speedup of MR framework on these architectures. Cache reconfiguration is also investigated in this work. We have achieved performance benefit ranging from 10% to 200% for various cache sizes. Based on the above analysis, three techniques have been developed for the performance enhancement of MR framework. First, we exploited the concept of principle of locality by code restructure. We have saved over 32%cache miss per thread. Second, we have reduced the number of comparisons per thread in group phase. Our optimized group phase gives an average of 1.5x speed up. In third optimization, we have performed delayed writing during mapperCount function and make this function as cache sensitive. this reduces significant cache misses and improves the execution time by 10% to 25% for this function.

关键词： graphics processing unit

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An Improved Scale Invariant Feature Transform Algorithm Based on Weighted Principal Component Analysis for image Matching

An Improved Scale Invariant Feature Transform Algorithm Base...

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2012 IEEE 11th International conference on Signal processing(ICSP 2012)

作者： Qianxi Guo Huiyuan Wang Yongwei Zheng School of Information Science and Engineering Shandong University

ISBN: (纸本)9781467321969

Since first proposed, SIFT (Scale Invariant Feature Transform) has attracted great attention in the field of computer vision because of many of its advantages. In the paper, we propose a novel SIFT algorithm based on Weighted-PCA. Besides, in order to improve the matching accuracy, we redefine the distance measurement in the matching process. the experimental results show that the proposed method is more effective than existing ones under image rotation, scale transformation and noise degradation.

关键词： Scale Invariant Feature Transform, Weight Principal Component Analysis, images Matching

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Note:On Modeling Techniques in Active Contours

Note:On Modeling Techniques in Active Contours

引用

2012 IEEE 11th International conference on Signal processing(ICSP 2012)

作者： Hongyu Lu Youming Yu Shanglian Bao Department of Computer Science Beijing Institute of Petrochemical Technology School of Physics Peking University

ISBN: (纸本)9781467321969

For active contours, modeling techniques are represented by simulation and visualization of the objectives to their counterparts in physics, geometrics and graphics, etc. the goal of adopting this concept is to address several major difficulties in active contours for segmentation, both theoretically and practically. Based on this technology, in theory, by interpreting the equations with physical meaning, it proves that each term in Geometric Active Contours (GAC) and Snakes is correspondent and has similar function. this approach can also illustrate their differences. In practice, the obstacle of multi-object segmentation by Snakes can be overcome visually through simulating the inflation of the balloon in a closed space. the precision of the edge based GAC is not satisfied. By imitating the light propagating in the isotropic substance, this trouble is easily solved. Utilization of the electrostatic field and heat diffusion principles can establish a fusion scheme to create an image force field, which guarantees both the accuracy and the speed of the shape recovery process. In conclusion, the modeling technique transfers one question to its analogy and fast the procedures of solving some problems. the applications show vast prospects of this technology in image analysis.

关键词： modeling, snakes geometric active contours image force electrostatic field heat diffusion level sets

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Free Viewpoint Action Recognition based on Self-similarities

Free Viewpoint Action Recognition based on Self-similarities

引用

2012 IEEE 11th International conference on Signal processing(ICSP 2012)

作者： Jiao Wang Changhong Chen Xiuchang Zhu Jiangsu Provincial Key Lab of Image Processing and Image Communication Nanjing University of Posts and Telecommunications

ISBN: (纸本)9781467321969

Action recognition is an important topic in computer vision and most current work focuses on view-dependent representations. In this paper, we develop a novel free viewpoint action recognition based on Self-similarity matrix (SSM), which tends to be stable across views. We choose Local Self-similarity (LSS) descriptor as our low-level feature, then SSM is calculated by computing the similarity between any pair of frame features. Each video sequence is represented using a diagonal descriptor vector extracted from the SSM. Support Vector Machines (SVM) is employed for classification. the encouraging experimental results on the public IXMAS multi-view data set demonstrate effectiveness of the proposed method.

关键词： local self-similarity descriptor self-similarity matrix diagonal feature action recognition view independent

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Accelerating Adaptive Directional Lifting Based Wavelet Decomposition on GPU Using CUDA

Accelerating Adaptive Directional Lifting Based Wavelet Deco...

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2012 IEEE 11th International conference on Signal processing(ICSP 2012)

作者： Chen Jiazhong Ju Zengwei Cao Hua Xia Tao Dai Yingying Wang Ning Xie Ping Qin Leihua College of Computer Science and Technology Huazhong University of Science and Technology China Mobile Hubei Branch WISDRI Engineering and Research Incorporation Limited

ISBN: (纸本)9781467321969

Because of high data dependency between ADL (adaptive directional lifting) steps, such as interpolation, directional prediction and update, the existing CUDA (Compute Unified Device Architecture) configuration method for traditional rectilinear transform is difficult to be used for ADL-based transform. this paper proposed a new configuration method so-called Slice for implementation of the ADL-based transforms on GPUs (graphics processing Units). Compared with the existing configuration for the conventional rectilinear lifting algorithm, the proposed method makes each step being handled by a different kernel both for horizontal and vertical passes to avoid unnecessary waiting time between threads. Meanwhile the interpolation and decomposition are executed in an interleaving manner on the pixel level. Moreover, the coalesced memory accesses are exploited to the greatest extent by reading and writing a slice of image data from or back to global memory. the results show that the Slice method overcomes the limitation of high data dependency between ADL steps, and achieves more than 10 times speedup compared to the optimized CPU implementation.

关键词： graphics processing Unit Adaptive Directional Lifting Compute Unified Device Architecture Discrete Wavelet Transform

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Control system of pain by expanding pupil patient

Control system of pain by expanding pupil patient

引用

11th International conference on Modern Problems of Radio Engineering, Telecommunications and computer Science, TCSET'2012

作者： Nagovicyn, Ostap Petrovska, Halyna Lviv Polytechnic National University S. Bandery Str. 12 Lviv 79013 Ukraine

Control system of pain by expanding pupil patient has been developed. the system works by recording the eye of the patient. image is transmitted to program of processing and analysis on personal computer. In case of p... 详细信息

ISBN: (纸本)9786176072089

关键词： computer vision

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proceedings - 7th indian conference on computer vision, graphics and image processing, ICVGIP 2010

Proceedings - 7th Indian Conference on Computer Vision, Grap...

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7th indian conference on computer vision, graphics and image processing, ICVGIP 2010

ISBN: (纸本)9781450300605

the proceedings contain 70 papers. the topics discussed include: the human action image and its application to motion recognition;human action recognition in video by 'meaningful' poses;human action recognition using a dynamic Bayesian action network with 2D part models;unsupervised discovery of activity correlations using latent topic models;optimal shot detection and recognition using Shiryaev-Roberts statistics;the human action image and its application to motion recognition;a novel technique for sketch to photo synthesis;implicit surface octrees for ray tracing point models;a multi-view extension of the ICP algorithm;a convex multi-view stereo formulation with robustness to occlusions and time-varying clutter;realtime motion segmentation based multibody visual slam;image based PTM synthesis for realistic rendering of low resolution 3D models;and reground-background separation on GPU using order based approaches.

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Effective and efficient image copy detection based on GPU

Effective and efficient image copy detection based on GPU

引用

11th European conference on computer vision, ECCV 2010

作者： Xie, Hongtao Gao, Ke Zhang, Yongdong Li, Jintao Liu, Yizhi Ren, Huamin Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China Institute of Information Engineering Chinese Academy of Sciences Beijing 100093 China

ISBN: (纸本)9783642357398

To improve the accuracy and efficiency of image copy detection, a novel system is proposed based on graphics processing Units (GPU). We combine two complementary local features, Harris-Laplace and SURF, to provide a compact representation of an image. By using complementary features, the image is better covered and the detection accuracy becomes less dependent on the actual image content. Moreover, ordinal measure (OM) is applied as semilocal spatial coherent verification. To improve time performance, the process of local features generation and OM calculating are implemented on the GPU through NVIDIA CUDA. Experiments show that our system achieves a 15% precision improvement over the baseline Hamming embedding approach. Compared to the CPU-based method, the GPU realization reaches up to a 30-40x speedup, having real-time performance. © 2012 Springer-Verlag.

关键词： graphics processing unit

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the SIMCA algorithm for processing ground penetrating radar data and its use in landmine detection

The SIMCA algorithm for processing ground penetrating radar ...

引用

2012 11th International conference on Information Science, Signal processing and their Applications, ISSPA 2012

作者： Sengodan, Anand Cockshott, W. Paul Computer Vision and Graphics Group School of Computing Science University of Glasgow Glasgow G12 8QQ United Kingdom

ISBN: (纸本)9781467303828

the main challenge of ground penetrating radar (GPR) based land mine detection is to have an accurate image analysis method that is capable of reducing false alarms. However an accurate image relies on having sufficient spatial resolution in the received signal. But because the diameter of an AP mine can be as low as 2cm and many soils have very high attenuations at frequencies above 3GHz, the accurate detection of landmines is accomplished using advanced algorithms. Using image reconstruction and by carrying out the system level analysis of the issues involved with recognition of landmines allows the landmine detection problem to be solved. the SIMCA ('SIMulated Correlation Algorithm') is a novel and accurate landmine detection tool that carries out correlation between a simulated GPR trace and a clutter1 removed original GPR trace. this correlation is performed using the MATLAB ® processing environment. the authors tried using convolution and correlation. But in this paper the correlated results are presented because they produced better results. Validation of the results from the algorithm was done by an expert GPR user and 4 other general users who predict the location of landmines. these predicted results are compared with the ground truth data. © 2012 IEEE.

关键词： Landmine detection

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