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检索条件"任意字段=MIPPR 2007: Pattern Recognition and Computer Vision"
966 条 记 录,以下是851-860 订阅
排序:
A Geometry-Based Local Descriptor for Range Data
A Geometry-Based Local Descriptor for Range Data
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Proceedings of the Digital Image Computing: Technqiues and Applications (DICTA)
作者: Fredrik Viksten Klas Nordberg Image Coding Group Department of Electrical Engineering Linköping university Sweden Computer Vision Laboratory Department of Electrical Engineering Linköping university Sweden
We present a novel local descriptor for range data that can describe one or more planes or lines in a local region. It is possible to recover the geometry of the described local region and extract the size, position a... 详细信息
来源: 评论
Energy-Based Models in Document recognition and computer vision
Energy-Based Models in Document Recognition and Computer Vis...
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International Conference on Document Analysis and recognition
作者: Y. LeCun S. Chopra M. Ranzato F.-J. Huang The Courant Institute of Mathematical Sciences New York University USA
The machine learning and pattern recognition communities are facing two challenges: solving the normalization problem, and solving the deep learning problem. The normalization problem is related to the difficulty of t... 详细信息
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A simple tracking approach for line extraction
A simple tracking approach for line extraction
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International Conference on Wavelet Analysis and pattern recognition (ICWAPR)
作者: Liang Chen Lei Guo Ya-Ping Wang Shi-Wei Gao Yong Yu College of Automation Northwest Polytechnical University Xi'an Shaanxi China
Line extraction plays an important role in many applications as mid-level feature description; the problem is how to get accurate location of line effectively. In this paper, the extraction is simplified by edge track... 详细信息
来源: 评论
Object Localisation Using Generative Probability Model for Spatial Constellation and Local Image Features
Object Localisation Using Generative Probability Model for S...
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International Conference on computer vision (ICCV)
作者: J.-K. Kamarainen M. Hamouz J. Kittler P. Paalanen J. Ilonen A. Drobchenko Centre for Vision Speech and Signal Processing (CVSSP) University of Surrey UK Machine Vision and Pattern Recognition Research Group Lappeenranta University of Technology Finland
In this paper we apply state-of-the-art approach to object detection and localisation by incorporating local descriptors and their spatial configuration into a generative probability model. In contrast to the recent s... 详细信息
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Facial Template Synthesis based on SIFT Features
Facial Template Synthesis based on SIFT Features
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IEEE Workshop on Automatic Identification Advanced Technologies
作者: Ajita Rattani D. R. Kisku Andrea Lagorio Massimo Tistarelli Department of Computer Science and Engineering Indian Institute of Technology Kanpur Kanpur India Computer Vision Laboratory University of Sassari Alghero Italy
This paper proposes a procedure for facial template synthesis based on features extracted from multiple facial instances with varying pose. The proposed system extracts the rotation, scale and translation invariant SI... 详细信息
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The Relationship Between Kernel and Classifier Fusion in Kernel-Based Multi-Modal pattern recognition: An Experimental Study
The Relationship Between Kernel and Classifier Fusion in Ker...
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International Conference on Machine Learning and Cybernetics (ICMLC)
作者: David Windridge Vadim Mottl Alexander Tatarchuk Andrey Eliseyev Centre for Vision Speech and Signal Processing University of Surrey Guildford UK Computing Center Russian Academy of Science Moscow Russia Moscow Institute of Physics and Technology Moscow Russia
Two distinct principles of multi-modal kernel-based pattern recognition, kernel and classifier fusion, are demonstrated to share common underlying characteristics via the use of a novel kernel-based technique for comb... 详细信息
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A Discriminative Framework for Object recognition
A Discriminative Framework for Object Recognition
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International Conference on Mechatronics (ICM)
作者: Hongwei Li Jian Cheng Hanqing Lu National Laboratory Pattern Recognition Institute of Automation Chinese Academy and Sciences Beijing China
In this paper, we present a discriminative approach to learn and recognize the object classes from unsegmented cluttered scenes in a scale invariant manner. A multiscale algorithm for the selection of salient regions ... 详细信息
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A System for Off-Line Oriya Handwritten Character recognition Using Curvature Feature
A System for Off-Line Oriya Handwritten Character Recognitio...
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International Conference on Information Technology (ICIT)
作者: U. Pal T. Wakabayashi F. Kimura Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India Graduate School of Engineering Mie University Tsu Mie Japan
In this paper we present a system towards the recognition of off-line Oriya handwritten characters. Since most of the Oriya characters have curve-like stroke, we use curvature feature for the recognition purpose. To g... 详细信息
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Object Extraction by Spatio-Temporal Assembling
Object Extraction by Spatio-Temporal Assembling
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IEEE International Conference on Image Processing
作者: Xiaoke Qin Liang Tang Jie Zhou China Hewlett Packard Laboratories China
Among various algorithms for vision-based traffic monitoring, spatio-temporal (ST) slice analysis is attractive by computing over a larger temporal scale. However, it is unsuitable for further pattern recognition, sin... 详细信息
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Rotation Invariant Shape Contexts based on Feature-space Fourier Transformation
Rotation Invariant Shape Contexts based on Feature-space Fou...
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International Conference on Image and Graphics (ICIG)
作者: Su Yang Yuanyuan Wang Department of Computer Science and Engineering Fudan University Shanghai China Department of Electronic Engineering Fudan University Shanghai China
We propose a new pixel-level shape descriptor. First, shape contexts are computed. Then, 2D FFT is performed on each 2D histogram from shape contexts. Such a scheme solves the rotation-invariance problem of shape cont... 详细信息
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