The image patches learned by recent works are usually only bar-like or Gabor-like patterns. However those simple patterns are not meaningful enough to capture higher level information. In this study, we try to learn m...
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The image patches learned by recent works are usually only bar-like or Gabor-like patterns. However those simple patterns are not meaningful enough to capture higher level information. In this study, we try to learn more complex image patterns from unaligned images. We propose Scale And Shift Invariant Sparse Coding (SASISC), which aligns basis patches at proper locations and scales to reconstruct the whole image. The experiment results on unaligned images show that SASISC can explain the images much better than the original sparse coding, and can extract more complex image patterns.
On behalf of the Organizing Committee, it is our great pleasure to welcome you to the 2011 IEEE International Conference on Multimedia and Expo (ICME 2011). ICME is sponsored by four IEEE societies: Signal Processing,...
On behalf of the Organizing Committee, it is our great pleasure to welcome you to the 2011 IEEE International Conference on Multimedia and Expo (ICME 2011). ICME is sponsored by four IEEE societies: Signal Processing, Circuits and systems, Computer and Communications. It is the premier forum for the presentation of the latest advances in multimedia technologies, systems, and applications from both the research and development perspectives. ICME 2011 is the twelve in the series that has been held annually since 2000, after New York, Tokyo, Lausanne, Baltimore, Taipei, Amsterdam, Toronto, Beijing, Hannover, New York City and Singapore. We are glad that from July 11 th to 15 th , 2011 Barcelona will be the home of the latest research in multimedia technologies.
In order to inspect the cold rolling strip main surface defects in while product line running normally and control manufacturing process more efficiently, a novel cold rolling strip surface defect on-line inspection s...
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Spectrum based water quality analyzer for comprehensive organic pollution index evaluating is a kind of green measurements with prosperous futures. Due to the low estimation precision of single-spectrum based analyzer...
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This paper describes an approach for extracting words, textlines and text blocks by analyzing the spatial configuration of connected domain and word contour rectangles on a given document image. The basic idea is that...
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In this paper, a novel method for robotic belt grinding based on support vector machine and particle swarm optimization algorithm is presented. Firstly, the dynamic model of the robotic belt grinding process is built ...
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In order to inspect the cold rolling strip main surface defects in while product line running normally and control manufacturing process more efficiently, a novel cold rolling strip surface defect on-line inspection s...
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ISBN:
(纸本)9781424479689
In order to inspect the cold rolling strip main surface defects in while product line running normally and control manufacturing process more efficiently, a novel cold rolling strip surface defect on-line inspection system is designed. Modularization design idea is adopted, the whole system is made up of light source module, image collection module, defect image processing module and server module. For making sure real-time characteristics of the system, high-speed linear CCD camera and relational high-speed fiber image collection card, high-speed FPGA image processing card designed by ourselves are adopted in hardware, RT-Linux real-time operation system is adopted in software. Aiming at low contrast and high noise of defect image, homomorphic filtering algorithm based on PDE is proposed for image preprocess; considering of the exist of defect image transition region, image segmentation algorithm based fuzzy-set and information entropy theory is adopted to accomplish defect abstraction. Based on these, kinds of features of defect are extracted, the defect classification based on fuzzy support vector machine is designed and classification experiment is finished, better classification effect is obtained.
The performance of a model, which is trained with offline data, is highly relied on the conditions in which the system is working. When the working conditions change, the prediction accuracy of the model will be reduc...
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A nonlinear output feedback controller is developed for an Underactuated manipulator in this paper. The PPR planar Underactuated manipulator consists of two active joints and one passive joint. The dynamic constraint ...
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The sampling storage method which used in the current data stream could not respond data tendency effectively. For the problem, this paper presents a new processing method based on curve fitting. A weighted least-squa...
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