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Randomized Trees for Real-Time Keypoint Recognition

Publications associées (34)

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Classification with class-independent quality information for biometric verification

Krzysztof Kryszczuk

Biometric identity verification systems frequently face the challenges of non-controlled conditions of data acquisition. Under such conditions biometric signals may suffer from quality degradation due to extraneous, identity-independent factors. It has bee ...

EPFL2008

Mobile museum guide based on fast SIFT recognition

Effrosyni Kokiopoulou, Boris Ruf

This article explores the feasibility of a market-ready, mo- bile pattern recognition system based on the latest findings in the field of object recognition and currently available hardware and network technology. More precisely, an innovative, mobile muse ...

Springer2008

A multimodal pattern recognition framework for speaker detection

Patricia Besson

Speaker detection is an important component of a speech-based user interface. Audiovisual speaker detection, speech and speaker recognition or speech synthesis for example find multiple applications in human-computer interaction, multimedia content indexin ...

EPFL2007

Mixtures of Boosted Classifiers for Frontal Face Detection

Jean-Philippe Thiran, Vlad Popovici, Julien Meynet

This paper describes a new approach to automatic frontal face detection which employs Gaussian filters as local image descriptors. We then show how the paradigm of classifier combination can be used for building a face detector that outperforms the current ...

2007

Fast Keypoint Recognition in Ten Lines of Code

Pascal Fua, Vincent Lepetit, Mustafa Özuysal

While feature point recognition is a key component of modern approaches to object detection, existing approaches require computationally expensive patch preprocessing to handle perspective distortion. In this paper, we show that formulating the problem in ...

IEEE Xplore2007

A Thousand Words in a Scene

Daniel Gatica-Perez, Jean-Marc Odobez, Pedro Manuel Da Silva Quelhas

This paper presents a novel approach for visual scene modeling and classification, investigating the combined use of text modeling methods and local invariant features. Our work attempts to elucidate (1) whether a text-like \emph{bag-of-visterms} represent ...

2007

Anisotropic Gaussian Filters for Face Class Modeling

Jean-Philippe Thiran, Vlad Popovici, Julien Meynet

In this paper we propose a new approach to automatic human face detection which employs anisotropic Gaussian filters as local image descriptors. We then show how the paradigm of classifier combination can be used for building a face detector that outperfor ...

IEEE2006

Keypoint Recognition using Randomized Trees

Pascal Fua, Vincent Lepetit

In many 3--D object-detection and pose-estimation problems, run-time performance is of critical importance. However, there usually is time to train the system, which we will show to be very useful. Assuming that several registered images of the target obje ...

2006

A Thousand Words in a Scene

Daniel Gatica-Perez, Jean-Marc Odobez, Pedro Manuel Da Silva Quelhas

IDIAP2005

Towards Recognizing Feature Points using Classification Trees

Pascal Fua, Vincent Lepetit

In earlier work~\cite{Lepetit04b}, we proposed to treat wide baseline matching of feature points as a classification problem and proposed an implementation based on K-means and nearest neighbor classification. We showed that this method is both reliable an ...

2004