检索结果-内蒙古大学图书馆

作者： Bo, Liefeng Lai, Kevin Ren, Xiaofeng Fox, Dieter University of Washington United States Computer Vision Lab University of Central Florida Orlando FL United States Intel Labs Seattle United States

ISBN: (纸本)9781457703942

Kernel descriptors [1] provide a unified way to generate rich visual feature sets by turning pixel attributes into patch-level features, and yield impressive results on many object recognition tasks. However, best results with kernel descriptors are achieved using efficient match kernels in conjunction with nonlinear SVMs, which makes it impractical for large-scale problems. In this paper, we propose hierarchical kernel descriptors that apply kernel descriptors recursively to form image-level features and thus provide a conceptually simple and consistent way to generate image-level features from pixel attributes. More importantly, hierarchical kernel descriptors allow linear SVMs to yield state-of-the-art accuracy while being scalable to large datasets. They can also be naturally extended to extract features over depth images. We evaluate hierarchical kernel descriptors both on the CIFAR10 dataset and the new RGB-D Object Dataset consisting of segmented RGB and depth images of 300 everyday objects. © 2011 IEEE.

关键词： Object recognition

来源：评论

学校读者我要写书评

暂无评论

A Munkres Particle Swarm optimization algorithm for point pattern matching

A Munkres Particle Swarm optimization algorithm for point pa...

引用

2011 International Conference on Human Health and Biomedical Engineering, HHBE 2011

作者： Zhou, You Wei, Wei Yu, Chong Sun, Ying Xing, Chong Shen, Wei Shi, Xiaohu College of Computer Science and Technology Jilin University Changchun 130012 China

ISBN: (纸本)9781612847269

Particle Swarm Optimization combines with Munkres algorithm is proposed for Point pattern Matching in three dimensions. Point pattern Matching is a fundamental aspect of many fields in computer vision and pattern recognition. The point pattern matching technique could be described as finding an optimal transformation for one point pattern to the other under some measures. The proposed algorithm can be used to perform reliable matching between two different views of an object or scene. A new formula is proposed and used as a reasonable fitness function. The advantages of Munkres and Particle Swarm optimization are used and combined together in this paper. The simulated results show that the new algorithm is very effective. © 2011 IEEE.

关键词： Particle swarm optimization (PSO)

来源：评论

学校读者我要写书评

暂无评论

Analysis of sensor fingerprint for source camera identification

引用

ELECTRONICS LETTERS 2011年第25期47卷 1366-U83页

作者： Conotter, V. Boato, G. Univ Trento Dept Informat Engn & Comp Sci I-38123 Trento Italy

In the field of digital image forensics, image source identification aims at establishing a link between an image and the device that generated it. All digital pictures taken by the same device are overlaid by a specific pattern, which is a unique and intrinsic fingerprint of the acquisition device. Such a fingerprint can be estimated as the difference between the content and its denoised version, obtained via denoising filter processing. Proposed is a performance comparison of different filters for source identification purposes.

关键词： sensor fingerprint analysis image source identification image sensors cameras digital pictures Image sensors source camera identification denoising filter processing fingerprint identification acquisition device digital image forensics computer vision and image processing techniques Image recognition

来源：评论

学校读者我要写书评

暂无评论

Study on interaction behaviors of micro-autonomous vehicles

Study on interaction behaviors of micro-autonomous vehicles

引用

International Workshop on Assurance in Distributed Systems and Networks

作者： Li, Deyi Wang, Xiaodong He, Wen Guo, Mu Zhang, Tianlei Dept. Computer Science and Technology Tsinghua University Bejing China

ISBN: (纸本)9780769543499

Autonomous vehicles are very hot research area which advance artificial intelligent, pattern recognition, computer vision, sensor fusion and control theory. In the paper we demonstrate a kind of micro-autonomous vehicle, describing hardware and software architectures, perception system and control method-cloud control. Our goal is study interaction behaviors between autonomous vehicles and how to take appropriate measure to avoid driving conditions hazardous. We propose a new control alogrithm-cloud control algorithm and experiments show cloud control algorithm has good performance and flexibility.

关键词： pattern recognition

来源：评论

学校读者我要写书评

暂无评论

Linear-nonlinear neuronal model for shape from shading

引用

pattern recognition LETTERS 2011年第9期32卷 1223-1239页

作者： Torreao, Jose R. A. Fernandes, Joao L. Univ Fed Fluminense Inst Comp BR-24210240 Niteroi RJ Brazil

The goal of shape from shading (SFS) is to recover a relative depth map from the variations of image intensity associated to changes in surface shape. There have been very few attempts at developing biologically plausible solutions to this problem, and a sound neurophysiological basis is still missing. Here we present a biologically inspired approach to SFS, formulated in terms of the well-known linear-nonlinear model of neuronal responses. Without resorting to the image irradiance equation, which is at the heart of the traditional SFS algorithms, we submit the input image to a linear filter followed by nonlinear transformations modelled on the tuning curves of the disparity-selective binocular neurons. This yields plausible shape estimates, without requiring information regarding surface reflectance or illumination. (C) 2011 Elsevier B.V. All rights reserved.

关键词： Biological vision computer vision Linear-nonlinear model Shape from shading

来源：评论

学校读者我要写书评

暂无评论

A Shortest Path Approach for Vibrating Line Detection and Tracking

引用

5th Iberian Conference on pattern recognition and Image Analysis (IbPRIA)

作者： Carvalho, Pedro Pinheiro, Miguel Cardoso, Jaime S. Corte-Real, Luis Univ Porto INESC Porto Fac Engn P-4200465 Oporto Portugal

ISBN: (纸本)9783642212567;9783642212574

This paper describes an approach based on the shortest path method for the detection and tracking of vibrating lines. The detection and tracking of vibrating structures, such as lines and cables, is of great importance in areas such as civil engineering, but the specificities of these scenarios make it a hard problem to tackle. We propose a two-step approach consisting of line detection and subsequent tracking. The automatic detection of the lines avoids manual initialization - a typical problem of these scenarios - and favors tracking. The additional information provided by the line detection enables the improvement of existing algorithms and extends their application to a larger set of scenarios.

关键词： computer vision vibrating lines detection tracking

来源：评论

学校读者我要写书评

暂无评论

An algorithm of planar coded pattern recognition for camera calibration

An algorithm of planar coded pattern recognition for camera ...

引用

International Conference on Image and Graphics

作者： Wang, Yuzhou Wang, Guoping Graphics Lab of EECS Peking University Beijing China

ISBN: (纸本)9780769545417

We propose an algorithm for finding out the single or multiple camera calibration planar coded patterns from an image with a complicate background, and provide a kind of patterns design for multi-pattern calibration accordingly. Until recently, the camera calibration planar pattern recognition methods proposed are mainly the recognition of the calibration pattern from images with a single pattern and a simple background. Our approach expands the scope of application of object reconstruction in two aspects. The first is that the reconstruction can be operated in a natural environment instead of an arranged scene. The second is that the large objects, or objects immovable, can be reconstructed conveniently and accurately. We begin by contour detecting with geometric constraints in the given image. Then we build the contours' adjacent relations by generating planar points set Delaunay triangular subdivision. Thirdly, we obtain the correspondence between image contours and pattern elements based on the Delaunay net, pattern geometric constraints and perspective projection invariants. We demonstrate the validity of our approach by providing recognition results on real scene images. © 2011 IEEE.

关键词： computer vision

来源：评论

学校读者我要写书评

暂无评论

SVM Based Classification of Traffic Signs for Realtime Embedded Platform

SVM Based Classification of Traffic Signs for Realtime Embed...

引用

1st International Conference on Advances in Computing and Communications

作者： Kumaraswamy, Rajeev Prabhu, Lekhesh V. Suchithra, K. Pai, P. S. Sreejith Network Syst & Technol Pvt Ltd Trivandrum Kerala India

ISBN: (纸本)9783642227257

A vision based traffic sign recognition system collects information about road signs and helps the driver to make timely decisions, making driving safer and easier. This paper deals with the real-time detection and recognition of traffic signs from video sequences using colour information. Support vector machine based classification is employed for the detection and recognition of traffic signs. The algorithms implemented are tested in a real time embedded environment. The algorithms are trainable to detect and recognize important prohibitory and warning signs from video captured in real-time.

关键词： traffic sign recognition support vector machine pattern classification realtime embedded system

来源：评论

学校读者我要写书评

暂无评论

Horror Image recognition Based on Emotional Attention

Horror Image Recognition Based on Emotional Attention

引用

10th Asian Conference on computer vision (ACCV)

作者： Li, Bing Hui, Weiming Xiong, Weihua Wu, Ou Li, Wei Chinese Acad Sci Natl Lab Pattern Recognit Inst Automat Beijing Peoples R China OmniVis Technol Sunnyvale CA USA

ISBN: (纸本)9783642193088

Along with the ever-growing Web, people benefit more and more from sharing information. Meanwhile, the harmful and illegal content, such as pornography, violence, horror etc., permeates the Web. Horror images, whose threat to children's health is no less than that from pornographic content, are nowadays neglected by existing Web filtering tools. This paper focuses on horror image recognition, which may further be applied to Web horror content filtering. The contributions of this paper are two-fold. First, the emotional attention mechanism is introduced into our work to detect emotional salient region in an image. And a top-down emotional saliency computation model is initially proposed based on color emotion and color harmony theories. Second, we present an Attention based Bag-of-Words (ABoW) framework for image's emotion representation by combining the emotional saliency computation model and the Bag-of-Words model. Based on ABoW, a horror image recognition algorithm is given out. The experimental results on diverse real images collected from internet show that the proposed emotional saliency model and horror image recognition algorithm are effective.

关键词： Image recognition

来源：评论

学校读者我要写书评

暂无评论

How to Generate Spoofed Irises From an Iris Code Template

引用

IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY 2011年第2期6卷 385-395页

作者： Venugopalan, Shreyas Savvides, Marios Carnegie Mellon Univ Cylab Biometr Ctr Pittsburgh PA 15213 USA

Biometrics has gained a lot of attention over recent years as a way to identify individuals. Of all biometrics-based techniques, the iris-pattern-based systems have recently shown very high accuracies in verifying an individual's identity. The premise here is that iris patterns are unique across people. Only the iris bit code template specific to an individual need be stored for future identity verification. It is generally accepted that this iris bit code is unidentifiable data. However, in this work, we explore methods to generate alternate iris textures for a given person for the purpose of bypassing a system based on this iris bit code. We show that, if this spoof texture is presented to an iris recognition system, it will generate the same score response as that of the original iris texture. Hence, this approach can bypass filter-based feature extraction systems (such as Daugman style systems) without using the actual texture of the target iris that we want to spoof, by obtaining a hamming distance match score that falls within the authentic score range. This approach assumes we know the feature extraction mechanism of the iris matching scheme. We embed features within a person's natural iris texture to spoof another person's iris. A very convincing preliminary investigation into how one can get by any iris recognition system by synthesizing various levels of "natural" looking irises is presented here and we hope to use this knowledge to build countermeasures into the feature extraction scheme of the recognition module.

关键词： Access control biometrics computer vision digital signal processing forgery iris recognition

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：