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Results on Range Image Segmentation for Service Robots

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A Trajectory-based Calibration Method for Stochastic Motion Models

Alcherio Martinoli, Massimo Mastrangeli, Grégory Mermoud, Ezequiel Leonardo Di Mario

In this paper, we present a quantitative, trajectory-based method for calibrating stochastic motion models of water-floating robots. Our calibration method is based on the Correlated Random Walk (CRW) model, and consists in minimizing the Kolmogorov-Smirno ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2011

Max-pooling convolutional neural networks for vision-based hand gesture recognition

Automatic recognition of gestures using computer vision is important for many real-world applications such as sign language recognition and human-robot interaction (HRI). Our goal is a real-time hand gesture-based HRI interface for mobile robots. We use a ...

2011

Geodesic Active Fields

Dominique Zosso

Image registration is the concept of mapping homologous points in a pair of images. In other words, one is looking for an underlying deformation field that matches one image to a target image. The spectrum of applications of image registration is extremely ...

EPFL2011

A Multi Cue Discriminative Approach to Semantic Place Classification

Barbara Caputo, Marco Fornoni, Jesús Martínez Gómez

This paper describes the participation of Idiap-MULTI to the Robot Vision Task at imageCLEF 2010. Our approach was based on a discriminative classification algorithm using multiple cues. Specically, we used an SVM and combined up to four different histogra ...

2010

The Robot Vision Track at ImageCLEF 2010

Barbara Caputo, Marco Fornoni

This paper describes the robot vision track that has been proposed to the ImageCLEF 2010 participants. The track addressed the problem of visual place classification, with a special focus on generalization. Participants were asked to classify rooms and are ...

2010

Stereo Vision Matching using Characteristics Vectors

Jean-Philippe Thiran

Stereo vision is a usual method to obtain depth information from images. The problems encountered when applying the majority of well established algorithms to provide this information are due to the high computational load required. This occurs in both the ...

2010

Tactile Guidance for Policy Adaptation

Aude Billard, Eric Sauser, Brenna Dee Argall

Demonstration learning is a powerful and practical technique to develop robot behaviors. Even so, development remains a challenge and possible demonstration limitations, for example correspondence issues between the robot and demonstrator, can degrade poli ...

2010

SLIC Superpixels

Pascal Fua, Sabine Süsstrunk, Radhakrishna Achanta, Kevin Smith, Aurélien Lucchi, Appu Shaji

Superpixels are becoming increasingly popular for use in computer vision applications. However, there are few algorithms that output a desired number of regular, compact superpixels with a low computational overhead. We introduce a novel algorithm that clu ...

2010

Active Vision for Goal-Oriented Humanoid Robot Walking

Dario Floreano, Mototaka Suzuki

Complex visual tasks may be tackled with remarkably simple neural architectures generated by a co-evolutionary process of active vision and feature selection. This hypothesis has recently been tested in several robotic applications such as shape discrimina ...

Springer-Verlag2009

Dense deformation field estimation for atlas registration using the active contour framework

Valérie Duay

A key research area in computer vision is image segmentation. Image segmentation aims at extracting objects of interest in images or video sequences. These objects contain relevant information for a given application. For example, a video surveillance appl ...

EPFL2008