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检索条件"机构=Perceptual Computing and Computer Vision Group"

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How many classifiers do I need?

How many classifiers do I need?

引用

作者： Schiele, Bernt Perceptual Computing and Computer Vision Group Computer Science Department ETH Zurich

Combining multiple classifiers promises to increase performance and robustness of a classification task. Currently however, the understanding which combination scheme should be used and the ability to quantify the expected benefit is inadequate. This paper attempts to quantify the performance and robustness gain for different combination schemes and for two classifier types. The results of the paper indicate that the combination of a small number of classifiers may already result in a substantial performance gain. Also, the increase in robustness can be substantial by combining an adequate number of classifiers. © 2002 IEEE.

关键词： Pattern recognition

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Beyond positionl awareness

Beyond positionl awareness

引用

作者： Antifakos, Stavros Schiele, Bernt Perceptual Computing and Computer Vision Group ETH Zurich CH08092 Zurich Switzerland

Location models are merely based on positional information. Using wireless sensor networks, however, allows us to extract information which can be related to different levels of semantic proximity of different devices. Based on this observation, the paper proposes a semantic proximity hierarchy based on a wireless sensor network. In this paper, we argue that the proposed proximity hierarchy adds a new and complementary dimension to pure positional location information. The paper discusses the proposed hierarchy, gives application examples and some preliminary experimental results. © Springer-Verlag London Ltd 2002.

关键词： Wireless sensor networks

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Bridging the gap between virtual and physical games using wearable sensors

Bridging the gap between virtual and physical games using we...

引用

International Symposium on Wearable computers

作者： S. Antifakos B. Schiele ETH Zurich Perceptual Computing and Computer Vision Group Switzerland

We believe that game playing in the real world finds such large appreciation because it is based on interaction between people in a physical environment. In this paper we present an example of how the gap between virtual and physical games can be bridged using sensing technology from a wearable computer. Unmasking Mister X is a game we propose, which incorporates sensor data from all the players. It is a first step in enhancing real world games with wearable computers and sensing technology.

关键词： Wearable sensors Wearable computers computer vision Physics computing Pervasive computing Bridges Displays Legged locomotion computer networks Virtual environment

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Analyzing non-negative matrix factorization for image classification

Analyzing non-negative matrix factorization for image classi...

引用

作者： Guillamet, David Schiele, Bernt Vitrià, Jordi Compter Vision Center Dept. Informàtica Universitat Autònoma de Barcelona 08193 Bellaterra Barcelona Spain Perceptual Computing and Computer Vision Group ETH Zurich CH-8092 Zurich Switzerland

The Non-negative Matrix Factorization technique (NMF) has been recently proposed for dimensionality reduction. NMF is capable to produce a region- or part-based representation of objects and images. This paper experimentally compares NMF to Principal Component Analysis (PCA) in the context of image patch classification. A first finding is that the two techniques are complementary and that their respective performance is correlated to the with-in class scatter. This paper also analyses different techniques to combine these complementary methods. In the first combination scheme the best technique for each class is chosen and the results are merged. The second combination scheme builds a hierarchy of classifiers where again for each classification task the best technique is chosen. Additionally, incorporation of the classification results of neighboring image patches further improves the overall results. © 2002 IEEE.

关键词： Image analysis

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How many classifiers do I need?

How many classifiers do I need?

引用

International Conference on Pattern Recognition

作者： B. Schiele Computer Science Department ETHETH Zurich Perceptual Computing and Computer Vision Group Zurich Switzerland

Combining multiple classifiers promises to increase performance and robustness of a classification task. Currently, the understanding which combination scheme should be used and the ability to quantify the expected benefit is inadequate. This paper attempts to quantify the performance and robustness gain for different combination schemes and for two classifier types. The results indicate that the combination of a small number of classifiers may already result in a substantial performance gain. Also, the increase in robustness can be substantial by combining an adequate number of classifiers.

关键词： Voting computer vision Performance gain Equations Probability computer science Pattern recognition Noise robustness

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Analyzing non-negative matrix factorization for image classification

Analyzing non-negative matrix factorization for image classi...

引用

International Conference on Pattern Recognition

作者： D. Guillamet B. Schiele J. Vitria Computer Vision Center Department Informàtica Universitat Autònoma Barcelona Barcelona Spain Perceptual Computing and Computer Vision Group ETH Zurich Zurich Switzerland

关键词： Image analysis Image classification Principal component analysis computer vision Face detection Covariance matrix Performance analysis computer errors Object recognition Face recognition

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Towards robust multi-cue integration for visual tracking 2

引用

2nd International Workshop on computer vision Systems, ICVS 2001

作者： Spengler, Martin Schiele, Bernt Perceptual Computing and Computer Vision Group Computer Science Department ETH Zurich Switzerland

ISBN: (纸本)3540422854

Even though many of today's vision algorithms are very successful, they lack robustness since they are typically limited to a particular situation. In this paper we argue that the principles of sensor and model integration can increase the robustness of today's computer vision systems substantially. As an example multi-cue tracking of faces is discussed. The approach is based on the principles of self-organization of the integration mechanism and self-adaptation of the cue models during tracking. Experiments show that the robustness of simple models is leveraged significantly by sensor and model integration. © Springer-Verlag Berlin Heidelberg 2001.

关键词： Integration

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Integration of wireless gesture tracking, object tracking, and 3D reconstruction in the perceptive workbench 2

引用

2nd International Workshop on computer vision Systems, ICVS 2001

作者： Leibe, Bastian Minnen, David Weeks, Justin Starner, Thad Perceptual Computing and Computer Vision Group ETH Zurich Haldeneggsteig 4 ZurichCH-8092 Switzerland Contextual Computing Group GVU Center Georgia Institute of Technology Georgia

ISBN: (纸本)3540422854

The Perceptive Workbench endeavors to create a spontaneous and unimpeded interface between the physical and virtual worlds. Its vision-based methods for interaction constitute an alternative to wired input devices and tethered tracking. Objects are recognized and tracked when placed on the display surface. By using multiple infrared light sources, the object's 3D shape can be captured and inserted into the virtual interface. This ability permits spontaneity since either preloaded objects or those objects selected at run-time by the user can become physical icons. Integrated into the same vision-based interface is the ability to identify 3D hand position, pointing direction, and sweeping arm gestures. Such gestures can enhance selection, manipulation, and navigation tasks. In previous publications, the Perceptive Workbench has demonstrated its utility for a variety of applications, including augmented reality gaming and terrain navigation. This paper will focus on the implementation and performance aspects and will introduce recent enhancements to the system. © Springer-Verlag Berlin Heidelberg 2001.

关键词： Virtual reality

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Performance prediction for vocabulary-supported image retrieval

Performance prediction for vocabulary-supported image retrie...

引用

IEEE International Conference on Image Processing

作者： J. Vogel B. Schiele Perceptual Computing and Computer Vision Group ETH Zurich Switzerland

The majority of today's content based image retrieval systems rely on low-level image descriptors which limit their capability to support meaningful interactions with the users. Even though relevance feedback helps, most of the current interaction paradigms are far from the semantic representations which most people use to categorize and describe image content. Therefore we propose a concept called "vocabulary-supported image retrieval" which aims to enable the user to access an image database in a more natural way. In particular this paper develops a technique to predict the system's performance with respect to the user query. This allows the system to translate the user query into an internal query which may satisfy predefined criteria such as precision and recall rates. In addition, given the performance parameters of the system's sub-components, the feasibility and the success of the retrieval process can be evaluated beforehand and optimized dynamically online.

关键词： Image retrieval Feedback computer vision Content based retrieval Image databases Vocabulary Detectors Information retrieval Software libraries Availability

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Smart-its friends: A technique for users to easily establish connections between smart artefacts 1

引用

International Conference on Ubiquitous computing, Ubicomp 2001

作者： Holmquist, Lars Erik Mattern, Friedemann Schiele, Bernt Alahuhta, Petteri Beigl, Michael Gellersen, Hans-W. PLAY Research Studio Interactive Institute Gothenburg Sweden ETH Zurich Distributed Systems Group Zurich Switzerland ETH Zurich Perceptual Computing and Computer Vision Group Zurich Switzerland VTT Electronics Oulu Finland TecO University of Karlsruhe Germany Lancaster University Department of Computing Lancaster United Kingdom

ISBN: (数字)9783540454274

ISBN: (纸本)3540426140

Ubiquitous computing is associated with a vision of everything being connected to everything. However, for successful applications to emerge, it will not be the quantity but the quality and usefulness of connections that will matter. Our concern is how qualitative relations and more selective connections can be established between smart artefacts, and how users can retain control over artefact interconnection. We propose context proximity for selective artefact communication, using the context of artefacts for matchmaking. We further suggest to empower users with simple but effective means to impose the same context on a number of artefacts. To prove our point we have implemented Smart-Its Friends, small embedded devices that become connected when a user holds them together and shakes them. © Springer-Verlag Berlin Heidelberg 2001.

关键词： Ubiquitous computing

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