Two-dimensional maximum area array (m-array) is a typical pseudo-random array with speciflc window property - all sub-windows are globally unique. M-array constructed by Formula-Method-Based encoding algorithm feature...
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Two-dimensional maximum area array (m-array) is a typical pseudo-random array with speciflc window property - all sub-windows are globally unique. M-array constructed by Formula-Method-Based encoding algorithm features a big difference between the number of rows and columns. EnumerationMethod-Based encoding algorithm only constructs small-size m-array with high computational complexity and low success rate. Based on the characteristics of Galois Fields, a new method of m-array construction based on non-zero maps theory is proposed and the theoretical proof is presented. Given symbols p and sub-window size m fl n as input, m-array with a large array size and close numbers of rows and columns is constructed by dividing and splicing m-sequence. Comparing with existing methods, the advantages of the algorithm include larger array size, more balanced number of rows and columns, and lower computational complexity. If needed, the method in this paper is flexible enough that the number of rows and columns of m-array can also be adjusted within a certain range, meaning that m-array with speciflc rows and columns ratio can be constructed.
Folding a sequence into a multidimensional box is a well-known method which is used as a multidimensional coding technique. The operation of folding is generalized in a way that the sequence can be folded into various...
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Folding a sequence into a multidimensional box is a well-known method which is used as a multidimensional coding technique. The operation of folding is generalized in a way that the sequence can be folded into various shapes and not just a box. The novel definition of folding is based on a lattice tiling for the given shape and a direction in the D-dimensional integer grid. Necessary and sufficient conditions that a lattice tiling for combined with a direction define a folding of a sequence into are derived. The immediate and most impressive applications are some new lower bounds on the number of dots in two-dimensional synchronization patterns. Asymptotically optimal such patterns were known only for rectangular shapes. We show asymptotically optimal such patterns for a large family of hexagons. This is also generalized for multidimensional synchronization patterns. The best known patterns, in terms of dots, for circles and other polygons are also given. The technique and its application for two-dimensional synchronization patterns, raises some interesting problems in discrete geometry. We will also discuss these problems. It is also shown how folding can be used to construct multidimensional error-correcting codes. Finally, by using the new definition of folding, new types of multidimensional pseudo-random arrays with various shapes are generated.
In this paper, a new method for calibration of the structured light system is presented. Three code words, i.e. red green and blue squares, are used to create the M-array pattern image. Then the color calibration is c...
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ISBN:
(纸本)9783642108167
In this paper, a new method for calibration of the structured light system is presented. Three code words, i.e. red green and blue squares, are used to create the M-array pattern image. Then the color calibration is conducted to deal with the color crosstalk. The color correction can make the decoding process more robust. After that, the camera is calibrated and the 3D corresponding points are also computed using the calibrated camera. Finally, the projector calibration is carried out. The experiment results on our structured light system show that our method is correct and precise.
A new projecting pattern is designed based on the principle of pseudo-random coding in this paper, and its decoding method is also studied according to Mathematical Morphology. Here, we initiate a new way which makes ...
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ISBN:
(纸本)9780819480866
A new projecting pattern is designed based on the principle of pseudo-random coding in this paper, and its decoding method is also studied according to Mathematical Morphology. Here, we initiate a new way which makes the feature points of two adjacent windows to validate with each other. By this way, we not only assure the validity of the matching result, but also resolve the problems of shadowing when the coded structured light is projected into the surface of the complex 3D scene, and overlapping of some parts of coding picture because of the different shooting angles of the camera, which results in the matching error of the feature points. The results of the experiments prove that the method has the advantages of simplicity and high speed. Through this approach, we can realize the automatic extracting and matching of the feature points with high accuracy.
作者:
Chen HuiMa ShiweiShanghai Univ
Sch Mechatron Engn & Automat Shanghai Key Lab Power Stn Automat Technol Shanghai 200072 Peoples R China
A novel method of corner detection for multicolor pseudo-random encoded image is proposed. With this method, the unique window characteristics of pseudo-random array pattern is extended to multicolor images, and by us...
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A novel method of corner detection for multicolor pseudo-random encoded image is proposed. With this method, the unique window characteristics of pseudo-random array pattern is extended to multicolor images, and by using quadratic curve fitting to pixel gray level around the feature point and solving its extreme value, the sub-pixel location of corner in multicolor pseudo-random code can be implemented.
A new two-dimensional modulation scheme for holographic data storage, or complementary code-word block modulation (CCBM), and its decoding algorithm have been developed and evaluated. The CCBM constructs a pseudo-rand...
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A new two-dimensional modulation scheme for holographic data storage, or complementary code-word block modulation (CCBM), and its decoding algorithm have been developed and evaluated. The CCBM constructs a pseudo-random array which provides a relatively uniform intensity distribution in the recording plane, leading to favorable SNR and BER performance.
A novel method of corner detection for multicolor pseudo-random encoded image is *** this method,the unique window characteristics of pseudo-random array pattern is extended to multicolor images,and by using quadratic...
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A novel method of corner detection for multicolor pseudo-random encoded image is *** this method,the unique window characteristics of pseudo-random array pattern is extended to multicolor images,and by using quadratic curve fitting to pixel gray level around the feature point and solving its extreme value,the sub-pixel location of corner in multicolor pseudo-random code can be implemented.
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