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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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Performance prediction for vocabulary-supported image retrieval

Performance prediction for vocabulary-supported image retrie...

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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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Analyzing non-negative matrix factorization for image classification

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

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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?

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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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Towards a wearable inertial sensor network

Towards a wearable inertial sensor network

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2003 IEE Eurowearable

作者： K. Van Laerhoven N. Kern H.W. Gellersen B. Schiele Computing Department Lancaster University Lancaster UK Perceptual Computing and Computer Vision Group ETH-Zurich Zurich Switzerland

Wearable inertial sensors have become an inexpensive option to measure the movements and positions of a person. Other techniques that use environmental sensors such as ultrasound trackers or vision-based methods need full line of sight or a local setup, and it is complicated to access this data from a wearable computer's perspective. However, a body-centric approach where sensor data is acquired and processed locally, has a need for appropriate algorithms that have to operate under restricted resources. The objective of this paper is to give an overview of algorithms that abstract inertial data from body-worn sensors, illustrated using data from state-of-the-art wearable multi-accelerometer prototypes.

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

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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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3D object recognition from range images using local feature histograms

3D object recognition from range images using local feature ...

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Conference on computer vision and Pattern Recognition (CVPR)

作者： G. Hetzel B. Leibe P. Levi B. Schiele University of Stuttgart Stuttgart Germany Perceptual Computing and Computer Vision Group ETH Zurich Zurich Switzerland

ISBN: (纸本)0769512720

The paper explores a view-based approach to recognize free-form objects in range images. We are using a set of local features that are easy to calculate and robust to partial occlusions. By combining those features in a multidimensional histogram, we can obtain highly discriminant classifiers without the need for segmentation. Recognition is performed using either histogram matching or a probabilistic recognition algorithm. We compare the performance of both methods in the presence of occlusions and test the system on a database of almost 2000 full-sphere views of 30 free-form objects. The system achieves a recognition accuracy above 93% on ideal images, and of 89% with 20% occlusion.

关键词： Object recognition Histograms Image segmentation Shape Image recognition Robustness computer vision Testing Image databases Spatial databases

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Less contact: heart-rate detection without even touching the user

Less contact: heart-rate detection without even touching the...

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International Symposium on Wearable computers

作者： F. Michahelles R. Wicki B. Schiele Perceptual Computing and Computer Vision Group ETH Zurich Switzerland Multimodal Interactive Systems Technical University of Darmstadt Germany

Heart-rate sensing is very important. Whereas there are different methods and commercial products available, they all have a common drawback: the user has to mount some piece of sensor to his body. This paper provides a case study on how micro-impulse radar (MIR) can be used to sense heart-rate in a contact-free manner. With a sequence of tests the robustness of radar to different placements and even distances from the subject is shown. Since MIR is also cheap and power-efficient this paper suggests heart-rate sensing through radar as a promising approach.

关键词： Heart rate detection Radar Heart rate computer vision Aging Medical services Ubiquitous computing Pervasive computing Wearable computers Wrist

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Analyzing non-negative matrix factorization for image classification

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

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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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Mobile ad hoc communication issues in ubiquitous computing - The smart-its experimentation platforms

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2003年 2775卷 213-218页

作者： Schmidt, Albrecht Siegemund, Frank Beigl, Michael Antifakos, Stavros Michahelles, Florian Gellersen, Hans-W. Media Informatics Group University of Munich Germany Distributed Systems Group ETH Zurich Switzerland TecO University of Karlsruhe Germany Perceptual Computing and Computer Vision Group ETH Zurich Switzerland Computing Department Lancaster University United Kingdom

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