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检索条件"机构=Computer Vision for Human Computer Interaction"

共 30 条记录，以下是21-30 订阅

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Kinect unbiased

Kinect unbiased

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作者： Martinez, Manuel Stiefelhagen, Rainer Computer Vision for Human-Computer Interaction Lab Vincenz-Priessnitz-Str. 3 Karlsruhe76131 Germany

ISBN: (纸本)9781479957514

Since its release, Kinect has been the de facto standard for low-cost RGB-D sensors. An infrared laser ray shot through an holographic diffraction grating projects a fixed dot pattern which is captured using an infrared camera. The pseudorandom pattern ensures that a simple block matching algorithm suffices to provide reliable depth estimates, allowing a cost-effective implementation. In this paper, we analyze the software limitations of Kinect's method, which allows us to propose algorithms that provide better precision. First, we analyze the dot pattern: we measure its pincushion distortion and its effect on the dot density, which is smaller towards the edges of the image. Then, we analyze the behavior of Block Matching algorithms, we show how Kinect's Block Matching implementation is;in general;limited by the dot density of the pattern, and a significant spatial bias is introduced as a result. We propose an efficient approach to estimate the disparity of each dot, allowing us to produce a point cloud with better spatial resolution than Block Matching algorithms. © 2014 IEEE.

关键词： Cost effectiveness

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Exploiting colour information for better scene text recognition 25

Exploiting colour information for better scene text recognit...

引用

25th British Machine vision Conference, BMVC 2014

作者： Fraz, Muhammad Sarfraz, M. Saquib Edirisinghe, Eran A. Department of Computer Science Loughborough University Loughborough United Kingdom Computer Vision for Human Computer Interaction Lab. Karlsruhe Institute of Technology Karlsruhe Germany

This paper presents an approach to text recognition in natural scene images. The main contribution of this paper is the efficient exploitation of colour information for the identification of text regions in the presence of surrounding noise. We propose a pipeline of image processing operations involving the bilateral regression for the identification of characters in the images. A pre-processing step has been proposed to increase the performance of bilateral regression based character identification. The proposed method segments the characters so well that a combination of an off the shelf feature representation and classification technique achieves state-of-the-art character recognition performance. The capability of the framework is further extended for word recognition where a basic string matching criterion is applied to match recognized strings against a lexicon to eliminate errors that occur due to inaccuracies in character classification. We performed extensive experiments to evaluate our method on challenging datasets (Chars74K, ICDAR03, ICDAR11 and SVT) and results show that the proposed method superseded the existing state-of-the-art techniques. © 2014. The copyright of this document resides with its authors.

关键词： Image processing

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Total cluster: A person agnostic clustering method for broadcast videos 14

Total cluster: A person agnostic clustering method for broad...

引用

9th Indian Conference on computer vision, Graphics and Image Processing, ICVGIP 2014

作者： Tapaswi, Makarand Parkhi, Omkar M. Rahtu, Esa Sommerlade, Eric Stiefelhagen, Rainer Zisserman, Andrew Computer Vision for Human Computer Interaction Karlsruhe Institute of Technology Germany Visual Geometry Group Department of Engineering Science University of Oxford United Kingdom Center for Machine Vision Research University of Oulu Finland

ISBN: (纸本)1595930361

The goal of this paper is unsupervised face clustering in edited video material - where face tracks arising from different people are assigned to separate clusters, with one cluster for each person. In particular we explore the extent to which faces can be clustered automatically without making an error. This is a very challenging problem given the variation in pose, lighting and expressions that can occur, and the similarities between different people. The novelty we bring is three fold: first, we show that a form of weak supervision is available from the editing structure of the material - the shots, threads and scenes that are standard in edited video;second, we show that by first clustering within scenes the number of face tracks can be significantly reduced with almost no errors;third, we propose an extension of the clustering method to entire episodes using exemplar SVMs based on the negative training data automatically harvested from the editing structure. The method is demonstrated on multiple episodes from two very different TV series, Scrubs and Buffy. For both series it is shown that we move towards our goal, and also outperform a number of baselines from previous works. Copyright is held by the authors.

关键词： Cluster analysis

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Manifold Alignment for Person Independent Appearance-Based Gaze Estimation

Manifold Alignment for Person Independent Appearance-Based G...

引用

International Conference on Pattern Recognition

作者： Timo Schneider Boris Schauerte Rainer Stiefelhagen Computer Vision for Human Computer Interaction Lab Karlsruhe Institute of Technology Germany

We show that dually supervised manifold embedding can improve the performance of machine learning based person-independent and thus calibration-free gaze estimation. For this purpose, we perform a manifold embedding for each person in the training dataset and then learn a linear transformation that aligns the individual, person-dependent manifolds. We evaluate the effect of manifold alignment on the recently presented Columbia dataset, where we analyze the influence on 6 regression methods and 8 feature variants. Using manifold alignment, we are able to improve the person-independent gaze estimation performance by up to 31.2 % compared to the best approach without manifold alignment.

关键词： Manifolds Estimation Training Principal component analysis Vectors Head Discrete cosine transforms

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KINECT UNBIASED

KINECT UNBIASED

引用

IEEE International Conference on Image Processing

作者： Manuel Martinez Rainer Stiefelhagen Karlsruhe Institute of Technology Institute for Anthropomatics and Robotics (IAR) Computer Vision for Human-Computer Interaction Lab

ISBN: (纸本)9781479957521

Since its release, Kinect has been the de facto standard for low-cost RGB-D sensors. An infrared laser ray shot through an holographic diffraction grating projects a fixed dot pattern which is captured using an infrared camera. The pseudo-random pattern ensures that a simple block matching algorithm suffices to provide reliable depth estimates, allowing a cost-effective implementation. In this paper, we analyze the software limitations of Kinect's method, which allows us to propose algorithms that provide better precision. First, we analyze the dot pattern: we measure its pincushion distortion and its effect on the dot density, which is smaller towards the edges of the image. Then, we analyze the behavior of Block Matching algorithms, we show how Kinect's Block Matching implementation is;in general;limited by the dot density of the pattern, and a significant spatial bias is introduced as a result. We propose an efficient approach to estimate the disparity of each dot, allowing us to produce a point cloud with better spatial resolution than Block Matching algorithms.

关键词： Kinect RGB-D Pattern Bias

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Development of a child-oriented social robot for safe and interactive physical interaction

Development of a child-oriented social robot for safe and in...

引用

2010 IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： Xiaoning Ma Francis Quek Social Robotics Laboratory Interactive and Digital Institute National University of Singapore Singapore Vision Interfaces and Systems Laboratory Center of Human Computer Interaction Virginia Polytechnic Institute and State University Blacksburg VA USA

As an important approach to ensure safety and naturalness, compliant motion is already implemented in large-size robots, but it is still an undeveloped area in child-oriented robots as it calls for a lightweight and compact solution compared with large-size robots. In this paper, we proposed the design of a social robot which aims at conducting safe and playful human-Robot interaction (HRI), especially with children. We built a teddy bear robot prototype based on hybrid passive-active compliant system which consists of flexible joints as passive part and compliant motion controller as active part. The compliant controller detects external perturbation through motor state variables, therefore force and torque sensors could be omitted to keep overall system compact. Experiments conducted in typical HRI scenarios showed that the hybrid passive-active compliant system enabled our robot to conduct safer and more interactive physical interaction compared with robot under traditional control method.

关键词： Robot sensing systems Torque Joints Equations Mathematical model humans

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A simple, usable and robust solution for pen-based interaction on projection displays

A simple, usable and robust solution for pen-based interacti...

引用

1st International Workshop on Pen-Based Learning Technologies, PLT 2007

作者： Iannizzotto, Giancarlo Rosa, Francesco La VisiLab Computer Vision and Human-Computer Interaction Lab. Faculty of Engineering University of Messina C.da Di Dio 98166 Messina Italy

ISBN: (纸本)0769529429

In this paper we describe a pen-based user interface for easy and natural user interaction with a wall projection display. VisualPen is a vision-based system for real-time detection and tracking of a pen that completely replaces mouse and keyboard. The low computational complexity of its algorithms renders it easy to implement with low-cost, lowpower embedded hardware, thus allowing portability and integrability. The architecture of the system is described, and experimental results are presented and commented.

关键词： User interfaces

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A simple, usable and robust solution for pen-based interaction on projection displays

A simple, usable and robust solution for pen-based interacti...

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International Workshop on Pen-Based Learning Technologies, PLT

作者： Giancarlo Iannizzotto Francesco La Rosa VisiLab Computer Vision and Human-Computer Interaction Laboratory Engineering University of Messina Messina Italy

In this paper we describe a pen-based user interface for easy and natural user interaction with a wall projection display. VisualPen is a vision-based system for real-time detection and tracking of a pen that completely replaces mouse and keyboard. The low computational complexity of its algorithms renders it easy to implement with low-cost, low-power embedded hardware, thus allowing portability and integrability. The architecture of the system is described, and experimental results are presented and commented.

关键词： Robustness Displays User interfaces Real time systems Mice Keyboards Computational complexity Rendering (computer graphics) Hardware computer architecture

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A collaborative approach for human-centered driver assistance systems

A collaborative approach for human-centered driver assistanc...

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International Conference on Intelligent Transportation

作者： J.C. McCall O. Achler M.M. Trivedi J.-B. Haue P. Fastrez D. Forster J.D. Hollan E. Boer Computer Vision and Robotics Research Laboratory Distributed Cognition and Human Computer Interaction Laboratory University of California San Diego USA ERB Consulting and Cal-IT University of California San Diego La Jolla CA USA

This paper describes an interdisciplinary research collaboration to design a human-centered driver assistance system. Driving behavior is captured using a novel intelligent vehicle test bed. The synchronized capture o... 详细信息

关键词： Collaboration Vehicle driving Cognition Streaming media Laboratories Intelligent vehicles Intelligent systems System testing Data analysis Video compression

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Independent component analysis in a facial local residue space

Independent component analysis in a facial local residue spa...

引用

Conference on computer vision and Pattern Recognition (CVPR)

作者： Tae-Kyun Kim Hyunwoo Kim Wonjun Hwang Seok-Cheol Kee J. Kittler Centre for Vision Speech and Signal Processing University of Surrey UK Human Computer Interaction Laboratory Samsung Advanced Institute of Technology South Korea

In this paper, we propose an ICA (Independent Component Analysis) based face recognition algorithm, which is robust to illumination and pose variation. Generally, it is well known that the first few eigenfaces represent illumination variation rather than identity. Most PCA (Principal Component Analysis)-based methods have overcome illumination variation by discarding the projection to a few leading eigenfaces. The space spanned after removing a few leading eigenfaces is called the "residual face space". We found that ICA in the residual face space provides more efficient encoding in terms of redundancy reduction and robustness to pose variation as well as illumination variation, owing to its ability to represent non-Gaussian statistics. Moreover, a face image is separated into several facial components, local spaces, and each local space is represented by the ICA bases (independent components) of its corresponding residual space. The statistical models of face images in local spaces are relatively simple and facilitate classification by a linear encoding. Various experimental results show that the accuracy of face recognition is significantly improved by the proposed method under large illumination and pose variations.

关键词： Independent component analysis Principal component analysis Face recognition Lighting Statistics Image databases Face detection Space technology Speech analysis Signal processing algorithms

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