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Scale Invariant Features and Polar Descriptors in Omnidirectional Imaging

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FREAK: Fast Retina Keypoint

Pierre Vandergheynst, Alexandre Massoud Alahi, Raphaël Ortiz

A large number of vision applications rely on matching keypoints across images. The last decade featured an arms-race towards faster and more robust keypoints and association algorithms: Scale Invariant Feature Transform (SIFT), Speed-up Robust Feature (SU ...

Ieee2012

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In this paper we apply boosting to learn complex non-linear local visual feature representations, drawing inspiration from its successful application to visual object detection. The main goal of local feature descriptors is to distinctively repre- sent a s ...

2012

Efficient Large Scale Multi-View Stereo for Ultra High Resolution Image Sets

Pascal Fua, Christoph Strecha, Engin Tola

We present a new approach for large scale multi-view stereo matching, which is designed to operate on ultra high resolution image sets and efficiently compute dense 3D point clouds. We show that, by using a robust descriptor for matching purposes and high ...

Springer Verlag2012

Multimodal Cue Detection Engine for Orchestrated Entertainment

Petr Motlicek, Danil Korchagin

In this paper, we describe a low delay real-time multimodal cue detection engine for a living room environment. The system is designed to be used in open, unconstrained environments to allow multiple people to enter, interact and leave the observable world ...

2012

Model-based Behavioural Tracking and Scale Invariant Features in Omnidirectional Matching

Javier Cruz Mota

Two classical but crucial and unsolved problems in Computer Vision are treated in this thesis: tracking and matching. The first part of the thesis deals with tracking, studying two of its main difficulties: object representation model drift and total occlu ...

EPFL2011

Rotational Features Extraction for Ridge Detection

Michaël Unser, Pascal Fua, François Fleuret, François Aguet, Germán González Serrano, Fethallah Benmansour

State-of-the-art approaches to detecting ridge-like structures in images rely on filters designed to respond to locally linear intensity features. While these approaches may be optimal for ridges whose appearance is close to being ideal, their performance ...

Institute of Electrical and Electronics Engineers2011

Object Duplicate Detection

Péter Vajda

With the technological evolution of digital acquisition and storage technologies, millions of images and video sequences are captured every day and shared in online services. One way of exploring this huge volume of images and videos is through searching a ...

EPFL2011

Multispectral Interest Points for RGB-NIR Image Registration

Sabine Süsstrunk, Matthew Brown, Damien Firmenich

This paper explores the use of joint colour and near-infrared (NIR) information for feature based matching and image registration. In particular, we investigate multispectral generalisations of two popular interest point detectors (Harris and difference of ...

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

3D Objects Localization Using Fuzzy Approach and Hierarchical Belief Propagation: Application at Level Crossings

Jacques Jacot, Alain Dufaux

Technological solutions for obstacle-detection systems have been proposed to prevent accidents in safety-transport applications. In order to avoid the limits of these proposed technologies, an obstacle-detection system utilizing stereo cameras is proposed ...

Hindawi Publishing Corporation2011

Sample and Pixel Weighting Strategies for Robust Incremental Visual Tracking

Michel Bierlaire, Jean-Philippe Thiran, Javier Cruz Mota

In this paper we introduce the Incremental Temporally Weighted Principal Component Analysis (ITWPCA) algorithm, based on SVD update, and the Incremental Temporally Weighted Visual Tracking with Spatial Penalty (ITWVTSP) algorithm for robust visual tracking ...

2011