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orientation code matching for robust object search

IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS 2001年第8期E84D卷 999-1006页

作者： Ullah, F Kaneko, S Igarashi, S Hokkaido Univ Sapporo Hokkaido 0608628 Japan

A new method for object search is proposed. Conventional template matching schemes tend to fail in presence of irregularities and ill-conditions like background variations, illumination fluctuations resulting from shadowing or highlighting etc. The proposed scheme is robust against such irregularities in the real world scenes since it is based on matching gradient information around each pixel, computed in the form of orientation codes, rather than the gray levels directly. A probabilistic model for robust matching is given and verified by real image data. Experimental results for real world scenes demonstrate the effectiveness of the proposed method for object search in the presence of different potential causes of mismatches.

关键词： object search matching robustness orientation code object tracking

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A Novel orientation code for Face Recognition

A Novel Orientation Code for Face Recognition

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Conference on Visual Information Processing XX

作者： Zheng, Yufeng Alcorn State Univ Alcorn State MS 39096 USA

ISBN: (纸本)9780819486301

A novel orientation code is proposed for face recognition applications in this paper. Gabor wavelet transform is a common tool for orientation analysis in a 2D image;whereas Hamming distance is an efficient distance measurement for multiple classifications such as face identification. Specifically, at each frequency band, an index number representing the strongest orientational response is selected, and then encoded in binary format to favor the Hamming distance calculation. Multiple-band orientation codes are then organized into a face pattern byte (FPB) by using order statistics. With the FPB, Hamming distances are calculated and compared to achieve face identification. The FPB has the dimensionality of 8 bits per pixel and its performance will be compared to that of FPW (face pattern word, 32 bits per pixel). The dimensionality of FPB can be further reduced down to 4 bits per pixel, called face pattern nibble (FPN). Experimental results with visible and thermal face databases show that the proposed orientation code for face recognition is very promising in contrast with classical methods such as PCA.

关键词： orientation code Face pattern byte (FPB) Face pattern word (FPW) Face recognition Gabor wavelet transform Hamming distance (HD)

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Using orientation code matching for robust landmark definition and verification

Using orientation code matching for robust landmark definiti...

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Conference on Machine Vision and Its Optomechatronic Applications

作者： Takauji, H Kaneko, S Tanaka, T Hokkaido Univ Grad Sch Eng Kita Ku Sapporo Hokkaido Japan

ISBN: (纸本)0819455563

This paper aims to propose a new scheme for robust tagging for landmark definition in unknown circumstance using some qualitative evaluations based on orientation code representation and matching which has been proposed for robust image registration even in the presence of change in illumination and occlusion. Necessary characteristics for effective tags: richness, similarity, and uniqueness, are considered in order to design an algorithm for tag extraction. These qualitative considerations can be utilized to design simple and robust algorithm for tag definition in combination with the robust image registration algorithm.

关键词： tag extraction unknown circumstance robustness orientation code entropy

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Palmprint Recognition Based on Statistical Local Binary orientation code

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Journal of Electronic Science and Technology 2010年第3期8卷 230-236页

作者： Mei-Ru Mu Qiu-Qi Ruan the Institute of Information Science Beijing Jiaotong University Beijing 100044 China

A novel coding based method named as local binary orientation code （LBOcode） for palmprint recognition is proposed. The palmprint image is firstly convolved with a bank of Gabor filters, and then the orientation information is attained with a winner-take-all rule. Subsequently, the resulting orientation mapping array is operated by uniform local binary pattern. Accordingly, LBOcode image is achieved which contains palmprint orientation information in pixel level. Further we divide the LBOcode image into several equal-size and nonoverlapping regions, and extract the statistical code histogram from each region independently, which builds a global description of palmprint in regional level. In matching stage, the matching score between two palmprints is achieved by calculating the two spatial enhanced histograms＇ dissimilarity, which brings the benefit of computational simplicity. Experimental results demonstrate that the proposed method achieves more promising recognition performance compared with that of several state-of-the-art methods.

关键词： Gabor filter local binary pattern orientation code palmprint recognition.

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Robust defect detection in 2D images printed on 3D micro-textured surfaces by multiple paired pixel consistency in orientation codes

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IET IMAGE PROCESSING 2020年第14期14卷 3373-3384页

作者： Xiang, Sheng Liang, Dong Kaneko, Shun'ichi Asano, Hirokazu Hokkaido Univ Grad Sch Informat Sci & Technol Sapporo Hokkaido 0600814 Japan Nanjing Univ Aeronut & Astronaut Coll Comp Sci & Technol Nanjing 211106 Peoples R China Kamakura Koki Co Ltd Warabi 3350002 Japan

Defect detection is now an active research area for production quality assurance. Traditional visual inspection systems are developed by human beings, which is a time-consuming, labour-intensive, and highly error-prone process, and are therefore unreliable. To overcome these problems, the authors proposed a new method for detecting defects when printing on a 3D micro-textured surface. They utilise an orientation code as the basis to resist the fluctuations in illumination. Based on the consistency of the pixel pairs, they developed a model called multiple paired pixel consistency to represent the statistical relationship between each pixel pair in defect-free images. Finally, based on this model, they designed a defect detection method. Even with different defect sizes, illumination conditions, noise intensities, and other characteristics, the performance of the proposed algorithm is extremely stable and highly accurate, and the recall, precision, and F-measure in most of the results can reach 0.85,0.93, and 0.9, respectively. In addition, the defect detection rate can reach almost 100%. This demonstrates that the authors' approach can achieve state-of-the-art accuracy in real industrial applications.

关键词： computer vision quality control automatic optical inspection production engineering computing statistical analysis image texture quality assurance feature extraction defect detection rate defect sizes defect-free images pixel pair error-prone process labour-intensive production quality assurance orientation code multiple paired pixel consistency 3D microtextured surface robust defect detection

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Using orientation codes for rotation-invariant template matching

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PATTERN RECOGNITION 2004年第2期37卷 201-209页

作者： Ullah, F Kaneko, S Hokkaido Univ Grad Sch Engn Kita Ku Sapporo Hokkaido 0608628 Japan

A new method for rotation-invariant template matching in gray scale images is proposed. It is based on the utilization of gradient information in the form of orientation codes as the feature for approximating the rotation angle as well as for matching. orientation codes-based matching is robust for searching objects in cluttered environments even in the cases of illumination fluctuations resulting from shadowing or highlighting, etc. We use a two-stage framework for realizing the rotation-invariant template matching;in the first stage, histograms of orientation codes are employed for approximating the rotation angle of the object and then in the second stage, matching is performed by rotating the object template by the estimated angle. Matching in the second stage is performed only for the positions which have higher similarity results in the first stage, thereby pruning out insignificant locations to speed up the search. Experiments with real world scenes demonstrate the rotation- and brightness invariance of the proposed method for performing object search. (C) 2003 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.

关键词： orientation code rotation invariance object search matching

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Robust Printing Defect Detection on 3D Textured Surfaces by Multiple Paired Pixel Consistency of orientation codes 12

Robust Printing Defect Detection on 3D Textured Surfaces by ...

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12th France-Japan and 10th Europe-Asia Congress on Mechatronics

作者： Xiang, Sheng Yan, Yaping Asano, Hirokazu Kaneko, Shun'ichi Hokkaido Univ Grad Sch Informat Sci & Technol Sapporo Hokkaido 0600814 Japan Huawei Technol Japan KK Yokohama Kanagawa 2210056 Japan

ISBN: (纸本)9781538629826

A new method for defect detection in 3D textured (SHIBO) surface is proposed. In the presence of 3D textured surfaces, and/or illumination change such as shadowing or highlighting, many conventional ways for visual inspection have been proved as of some troubles. For such purposes, it is proposed to utilize the orientation code based consistence of multiple pixel pairs to detect defects on character which is printed on 3D textured surface. This algorithm consists of two stages, they are training stage and detecting stage. Training stage is for making defect-free model based on multiple paired pixel consistency. Detecting stage is to identify whether the target pixel match its model. Experimental results for real products image demonstrate the effectiveness of the proposed method for defect inspection and location.

关键词： defect detection multiple paired pixel consistency orientation code 3D textured surface

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An Online System of Multispectral Palmprint Verification

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IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 2010年第2期59卷 480-490页

作者： Zhang, David Guo, Zhenhua Lu, Guangming Zhang, Lei Zuo, Wangmeng Hong Kong Polytech Univ Biometr Res Ctr Dept Comp Kowloon Hong Kong Peoples R China Harbin Inst Technol Shenzhen Grad Sch Biocomp Res Ctr Shenzhen 518055 Peoples R China Harbin Inst Technol Sch Comp Sci & Technol Biocomp Res Ctr Harbin 150001 Peoples R China

Palmprint is a unique and reliable biometric characteristic with high usability. With the increasing demand of highly accurate and robust palmprint authentication system, multispectral imaging has been employed to acquire more discriminative information and increase the antispoof capability of palmprint. This paper presents an online multispectral palmprint system that could meet the requirement of real-time application. A data acquisition device is designed to capture the palmprint images under Blue, Green, Red, and near-infrared (NIR) illuminations in less than 1s. A large multispectral palmprint database is then established to investigate the recognition performance of each spectral band. Our experimental results show that the Red channel achieves the best result, whereas the Blue and Green channels have comparable performance but are slightly inferior to the NIR channel. After analyzing the extracted features from different bands, we propose a score level fusion scheme to integrate the multispectral information. The palmprint verification experiments demonstrated the superiority of multispectral fusion to each single spectrum, which results in both higher verification accuracy and antispoofing capability.

关键词： Biometrics multispectral orientation code palmprint verification score level fusion

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A unified distance measurement for orientation coding in palmprint verification

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NEUROCOMPUTING 2010年第4-6期73卷 944-950页

作者： Guo, Zhenhua Zuo, Wangmeng Zhang, Lei Zhang, David Hong Kong Polytech Univ Biometr Res Ctr Hong Kong Hong Kong Peoples R China Harbin Inst Technol Sch Comp Sci & Technol Harbin Peoples R China

orientation coding based palmprint verification methods, such as competitive code, palmprint orientation code and robust line orientation code, are state-of-the-art verification algorithms with fast matching speeds. orientation code makes use of two types of distance measure, SUM_XOR (angular distance) and OR_XOR (Hamming distance), yet little is known about the similarities and differences between these two distance measures. in this paper, we propose a unified distance measure, of which both SUM_XCR and OR_XOR can be regarded as special cases, and provide some principles for determining the parameters of the unified distance. Experimental results show that, using the same feature extraction and coding methods, the unified distance measure gets lower equal error rates than the original distance measures. (C) 2009 Elsevier B.V. All rights reserved.

关键词： Biometrics Palmprint verification orientation code Hamming distance Angular distance

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Robust tagging in strange circumstance

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ELECTRICAL ENGINEERING IN JAPAN 2006年第4期156卷 22-32页

作者： Takauji, Hidenori Kaneko, Shun'ichi Tanaka, Takayuki Hokkaido Univ Grad Sch Informat Sci & Technol Sapporo Hokkaido 060 Japan

This paper aims to propose a new scheme for robust tagging for landmark definition in unknown circumstance using some qualitative evaluations based on orientation code representation and matching, which has been proposed for robust image registration even in the presence of changes in illumination and occlusion. The necessary characteristics for effective tags include richness, similarity, and uniqueness, and are considered in order to design an algorithm for tag detection. These qualitative considerations can be utilized to design a simple and robust algorithm for tag definitions in combination with the robust image registration algorithm. (C) 2006 Wiley Periodicals, Inc.

关键词： tag generation strange circumstances robustness orientation code entropy

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