检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

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

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

85 篇 会议
5 篇 期刊文献

馆藏范围

90 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

86 篇 工学
- 81 篇 计算机科学与技术...
- 30 篇 电气工程
- 19 篇 机械工程
- 2 篇 信息与通信工程
- 2 篇 控制科学与工程
- 1 篇 电子科学与技术（可...
- 1 篇 软件工程
3 篇 医学
- 3 篇 临床医学
1 篇 理学
- 1 篇 数学
- 1 篇 统计学（可授理学、...

主题

17 篇 computer vision
15 篇 face recognition
6 篇 pattern recognit...
5 篇 computer archite...
5 篇 feature extracti...
5 篇 detectors
5 篇 training
3 篇 object detection
3 篇 videotapes
3 篇 visualization
3 篇 object recogniti...
3 篇 recurrent neural...
3 篇 images
2 篇 conferences
2 篇 recognition (psy...
2 篇 pyramid
2 篇 deep neural netw...
2 篇 iterative method...
2 篇 trajectories
2 篇 convolution

机构

4 篇 univ chinese aca...
3 篇 chinese acad sci...
2 篇 chinese acad sci...
2 篇 bogazici univ de...
2 篇 univ maryland co...
2 篇 univ paris sacla...
2 篇 noblis reston va...
2 篇 univ calif san d...
2 篇 michigan state u...
1 篇 cornell tech ny ...
1 篇 ecse department ...
1 篇 asilla
1 篇 univ calif river...
1 篇 tsinghua univ sc...
1 篇 univ politecn ca...
1 篇 state res inst a...
1 篇 natl inst adv in...
1 篇 inaoe puebla
1 篇 univ elect sci &...
1 篇 tsinghua univ tn...

作者

3 篇 li stan z.
2 篇 escalera sergio
2 篇 guyon isabelle
2 篇 miller tim
2 篇 wang liang
2 篇 huang yan
2 篇 trivedi mohan m.
2 篇 wang wei
2 篇 kalka nathan d.
2 篇 ji qiang
2 篇 jain anil k.
2 篇 wu yue
2 篇 salah albert ali
2 篇 lei zhen
2 篇 boult terrance e...
2 篇 mahoor mohammad ...
2 篇 allen kristen c.
1 篇 zhou xi
1 篇 thielke matthew
1 篇 yao-hung hubert ...

语言

89 篇 英文
1 篇 日文

检索条件"任意字段=29th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016"

共 90 条记录，以下是31-40 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

Hardware-Efficient Guided Image Filtering For Multi-Label Problem 30

Hardware-Efficient Guided Image Filtering For Multi-Label Pr...

引用

30th ieee/CVF conference on computer vision and pattern recognition (cvpr)

作者： Dai, Longquan Yuan, Mengke Li, Zechao Zhang, Xiaopeng Tang, Jinhui Nanjing Univ Sci & Technol Sch Comp Sci & Engn Nanjing Jiangsu Peoples R China Chinese Acad Sci Inst Automat Natl Lab Pattern Recognit Beijing Peoples R China

ISBN: (纸本)9781538604571

the Guided Filter (GF) is well-known for its linear complexity. However, when filtering an image with an n-channel guidance, GF needs to invert an nxn matrix for each pixel. To the best of our knowledge existing matrix inverse algorithms are inefficient on current hardwares. this shortcoming limits applications of multichannel guidance in computation intensive system such as multi-label system. We need a new GF-like filter that can perform fast multichannel image guided filtering. Since the optimal linear complexity of GF cannot be minimized further, the only way thus is to bring all potentialities of current parallel computing hardwares into full play. In this paper we propose a hardware-efficient Guided Filter (HGF), which solves the efficiency problem of multichannel guided image filtering and yields competent results when applying it to multi-label problems with synthesized polynomial multichannel guidance. Specifically, in order to boost the filtering performance, HGF takes a new matrix inverse algorithm which only involves two hardware-efficient operations: element-wise arithmetic calculations and box filtering. In order to break the linear model restriction, HGF synthesizes a polynomial multichannel guidance to introduce nonlinearity. Benefiting from our polynomial guidance and hardware-efficient matrix inverse algorithm, HGF not only is more sensitive to the underlying structure of guidance but also achieves the fastest computing speed. Due to these merits, HGF obtains state-of-the-art results in terms of accuracy and efficiency in the computation intensive multi-label systems.

关键词： image filtering Guidance Interleukin-6 SOS1 gene HGF gene Hepatocyte Growth Factor Filtration Inverse matrix Filters arithmetic Economic Resources linear complexity

来源：评论

学校读者我要写书评

暂无评论

Heterogeneous Face recognition using Inter-Session Variability Modelling 29

Heterogeneous Face Recognition using Inter-Session Variabili...

引用

29th ieee conference on computer vision and pattern recognition (cvpr)

作者： Pereira, Tiago de Freitas Marcel, Sebastien IDIAP Res Inst Martigny Switzerland

ISBN: (纸本)9781509014378

the task of Heterogeneous Face recognition consists inmatch face images that were sensed in different modalities, such as sketches to photographs, thermal images to photographs or near infrared to photographs. In this preliminary work we introduce a novel and generic approach based on Inter-session Variability Modelling to handle this task. the experimental evaluation conducted with two different image modalities showed an average rank-1 identification rates of 96.93% and 72.39% for the CUHK-CUFS (Sketches) and CASIA NIR-VIS 2.0 (Near infra-red) respectively. this work is totally reproducible and all the source code for this approach is made publicly available.

关键词： Face recognition

来源：评论

学校读者我要写书评

暂无评论

A Scalable High-Performance Hardware Architecture for Real-Time Stereo vision by Semi-Global Matching 29

A Scalable High-Performance Hardware Architecture for Real-T...

引用

29th ieee conference on computer vision and pattern recognition (cvpr)

作者： Hofmann, Jaco Korinth, Jens Koch, Andreas Tech Univ Darmstadt Embedded Syst & Applicat Grp ESA Darmstadt Germany

ISBN: (纸本)9781509014378

Perceiving distance from two camera images, a task called stereo vision, is fundamental for many applications in robotics or automation. However, algorithms that compute this information at high accuracy have a high computational complexity. One such algorithm, Semi Global Matching (SGM), performs well in many stereo vision benchmarks, while maintaining a manageable computational complexity. Nevertheless, CPU and GPU implementations of this algorithm often fail to achieve real-time processing of camera images, especially in power-constrained embedded environments. this work presents a novel architecture to calculate disparities through SGM. the proposed architecture is highly scalable and applicable for low-power embedded as well as high-performance multi-camera high-resolution applications.

关键词： Stereo vision

来源：评论

学校读者我要写书评

暂无评论

Soft-margin learning for multiple feature-kernel combinations with Domain Adaptation, for recognition in surveillance face datasets 29

Soft-margin learning for multiple feature-kernel combination...

引用

29th ieee conference on computer vision and pattern recognition (cvpr)

作者： Banerjee, Samik Das, Sukhendu IIT Madras Madras 600036 Tamil Nadu India

ISBN: (纸本)9781509014378

Face recognition (FR) is the most preferred mode for biometric-based surveillance, due to its passive nature of detecting subjects, amongst all different types of biometric traits. FR under surveillance scenario does not give satisfactory performance due to low contrast, noise and poor illumination conditions on probes, as compared to the training samples. A state-of-the-art technology, Deep Learning, even fails to perform well in these scenarios. We propose a novel soft-margin based learning method for multiple feature-kernel combinations, followed by feature transformed using Domain Adaptation, which outperforms many recent state-of-the-art techniques, when tested using three real-world surveillance face datasets.

关键词： Face recognition

来源：评论

学校读者我要写书评

暂无评论

Embedded Computing Framework for vision-based Real-time Surround threat Analysis and Driver Assistance 29

Embedded Computing Framework for Vision-based Real-time Surr...

引用

29th ieee conference on computer vision and pattern recognition (cvpr)

作者： Lu, Frankie Lee, Sean Satzoda, Ravi Kumar Trivedi, Mohan Univ Calif San Diego San Diego CA 92103 USA

ISBN: (纸本)9781509014378

In this paper, we present a distributed embedded vision system that enables surround scene analysis and vehicle threat estimation. the proposed system analyzes the surroundings of the ego-vehicle using four cameras, each connected to a separate embedded processor. Each processor runs a set of optimized vision-based techniques to detect surrounding vehicles, so that the entire system operates at real-time speeds. this setup has been demonstrated on multiple vehicle testbeds with high levels of robustness under real-world driving conditions and is scalable to additional cameras. Finally, we present a detailed evaluation which shows over 95% accuracy and operation at nearly 15 frames per second.

关键词： Vehicles

来源：评论

学校读者我要写书评

暂无评论

Deep Tattoo recognition 29

Deep Tattoo Recognition

引用

29th ieee conference on computer vision and pattern recognition (cvpr)

作者： Di, Xing Patel, Vishal M. Rutgers State Univ Dept Elect & Comp Engn 508 CoRE94 Brett Rd Piscataway NJ 08854 USA

ISBN: (纸本)9781509014378

Tattoo is a soft biometric that indicates discriminative characteristics of a person such as beliefs and personalities. Automatic detection and recognition of tattoo images is a difficult problem. We present deep convolutional neural network-based methods for automatic matching of tattoo images based on the AlexNet and Siamese networks. Furthermore, we show that rather than using a simple contrastive loss function, triplet loss function can significantly improve the performance of a tattoo matching system. Extensive experiments on a recently introduced Tatt-C dataset show that our method is able to capture the meaningful structure of tattoos and performs significantly better than many competitive tattoo recognition algorithms.

关键词： Deep neural networks

来源：评论

学校读者我要写书评

暂无评论

Hidden Hands: Tracking Hands with an Occlusion Aware Tracker 29

Hidden Hands: Tracking Hands with an Occlusion Aware Tracker

引用

29th ieee conference on computer vision and pattern recognition (cvpr)

作者： Rangesh, Akshay Ohn-Bar, Eshed Trivedi, Mohan M. Univ Calif San Diego Comp Vis & Robot Res Lab La Jolla CA 92093 USA

ISBN: (纸本)9781509014378

this work presents an occlusion aware hand tracker to reliably track both hands of a person using a monocular RGB camera. To demonstrate its robustness, we evaluate the tracker on a challenging, occlusion-ridden naturalistic driving dataset, where hand motions of a driver are to be captured reliably. the proposed framework additionally encodes and learns tracklets corresponding to complex (yet frequently occurring) hand interactions offline, and makes an informed choice during data association. this provides positional information of the left and right hands with no intrusion (through complete or partial occlusions) over long, unconstrained video sequences in an online manner. the tracks thus obtained may find use in domains such as human activity analysis, gesture recognition, and higher-level semantic categorization.

关键词： Palmprint recognition

来源：评论

学校读者我要写书评

暂无评论

Seeing the Forest from the Trees: A Holistic Approach to Near-infrared Heterogeneous Face recognition 29

Seeing the Forest from the Trees: A Holistic Approach to Nea...

引用

29th ieee conference on computer vision and pattern recognition (cvpr)

作者： Reale, Christopher Nasrabadi, Nasser M. Kwon, Heesung Chellappa, Rama US Army Res Lab Adelphi MD 20783 USA Univ Maryland College Pk MD 20742 USA West Virginia Univ Morgantown WV 26506 USA

ISBN: (纸本)9781509014378

Heterogeneous face recognition is the problem of identifying a person from a face image acquired with a non-traditional sensor by matching it to a visible gallery. Most approaches to this problem involve modeling the relationship between corresponding images from the visible and sensing domains. this is typically done at the patch level and/or with shallow models with the aim to prevent over-fitting. In this work, rather than modeling local patches or using a simple model, we propose to use a complex, deep model to learn the relationship between the entirety of cross-modal face images. We describe a deep convolutional neural network based method that leverages a large visible image face dataset to prevent overfitting. We present experimental results on two benchmark datasets showing its effectiveness.

关键词： Face recognition

来源：评论

学校读者我要写书评

暂无评论

Kernel ELM and CNN based Facial Age Estimation 29

Kernel ELM and CNN based Facial Age Estimation

引用

29th ieee conference on computer vision and pattern recognition (cvpr)

作者： Gurpinar, Furkan Kaya, Heysem Dibeklioglu, Hamdi Salah, Albert Ali Bogazici Univ Program Computat Sci & Engn Istanbul Turkey Namik Kemal Univ Dept Comp Engn Tekirdag Turkey Delft Univ Technol Pattern Recognit & Bioinformat Grp Delft Netherlands Bogazici Univ Dept Comp Engn Istanbul Turkey

ISBN: (纸本)9781509014378

e propose a two-level system for apparent age estimation from facial images. Our system first classifies samples into overlapping age groups. Within each group, the apparent age is estimated with local regressors, whose outputs are then fused for the final estimate. We use a deformable parts model based face detector, and features from a pre-trained deep convolutional network. Kernel extreme learning machines are used for classification. We evaluate our system on the ChaLearn Looking at People 2016 - Apparent Age Estimation challenge dataset, and report 0.3740 normal score on the sequestered test set.

关键词： Learning systems

来源：评论

学校读者我要写书评

暂无评论

Facial expression recognition in the wild using improved dense trajectories and Fisher vector encoding 29

Facial expression recognition in the wild using improved den...

引用

29th ieee conference on computer vision and pattern recognition (cvpr)

作者： Afshar, Sadaf Salah, Albert Ali Bogazici Univ Computat Sci & Engn Program Istanbul Turkey Bogazici Univ Dept Comp Engn Istanbul Turkey

ISBN: (纸本)9781509014378

Improved dense trajectory features have been successfully used in video-based action recognition problems, but their application to face processing is more challenging. In this paper, we propose a novel system that deals with the problem of emotion recognition in real-world videos, using improved dense trajectory, LGBP-TOP, and geometric features. In the proposed system, we detect the face and facial landmarks from each frame of a video using a combination of two recent approaches, and register faces by means of Procrustes analysis. the improved dense trajectory and geometric features are encoded using Fisher vectors and classification is achieved by extreme learning machines. We evaluate our method on the extended Cohn-Kanade (CK+) and EmotiW 2015 Challenge databases. We obtain state-of-the-art results in both databases.

关键词： Trajectories

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共9页 << < 1 2 3 4 5 6 7 8 9 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

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：