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Localizing Polygonal Objects in Man-Made Environments

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Multiscale Centerline Extraction Based on Regression and Projection onto the Set of Elongated Structures

Amos Sironi

Automatically extracting linear structures from images is a fundamental low-level vision problem with numerous applications in different domains. Centerline detection and radial estimation are the first crucial steps in most Computer Vision pipelines aimin ...

EPFL2016

Multiscale Centerline Detection

Pascal Fua, Engin Türetken, Vincent Lepetit, Amos Sironi

Finding the centerline and estimating the radius of linear structures is a critical first step in many applications, ranging from road delineation in 2D aerial images to modeling blood vessels, lung bronchi, and dendritic arbors in 3D biomedical image stac ...

Institute of Electrical and Electronics Engineers2016

Building Scene Models by Completing and Hallucinating Depth and Semantics

Mathieu Salzmann

Building 3D scene models has been a longstanding goal of computer vision. The great progress in depth sensors brings us one step closer to achieving this in a single shot. However, depth sensors still produce imperfect measurements that are sparse and cont ...

Springer Int Publishing Ag2016

Do We Need Binary Features for 3D Reconstruction?

Pascal Fua, Xinchao Wang, Zhiye Wang, Bin Fan

Binary features have been incrementally popular in the past few years due to their low memory footprints and the efficient computation of Hamming distance between binary descriptors. They have been shown with promising results on some real time application ...

2016

Annihilation-driven Localised Image Edge Models

Martin Vetterli, Thierry Blu, Hanjie Pan

We propose a novel edge detection algorithm with sub-pixel accuracy based on annihilation of signals with finite rate of innovation. We show that the Fourier domain annihilation equations can be interpreted as spatial domain multiplications. From this new ...

IEEE2015

Real-time landing place assessment in man-made environments

Pascal Fua, Vincent Lepetit, Christos Marios Christoudias, Xiaolu Sun

We propose a novel approach to the real-time landing site detection and assessment in unconstrained man-made environments using passive sensors. Because this task must be performed in a few seconds or less, existing methods are often limited to simple loca ...

Springer Verlag2014

Coupled Structure-from-Motion and 3D Symmetry Detection for Urban Facades

Mark Pauly, Duygu Ceylan

Repeated structures are ubiquitous in urban facades. Such repetitions lead to ambiguity in establishing correspondences across sets of unordered images. A decoupled structure-from-motion reconstruction followed by symmetry detection often produces errors: ...

Association for Computing Machinery2014

Leveraging Colour Segmentation for Upper-Body Detection

Jean-Marc Odobez

This paper presents an upper-body detection algorithm that extends classical shape-based detectors through the use of additional semantic colour segmentation cues. More precisely, candidate upper-body image patches produced by a base detector are soft-segm ...

2014

Keypoint Recognition using Random Forests and Random Ferns

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. We introduce an approach that takes advantage of this fact by formulating wide-baseline matching ...

Springer2013

Multiple Object Tracking via Prediction and Filtering with a Sobolev-Type Metric on Curves

Maria Colombo

The problem of multi-target tracking of deforming objects in video sequences arises in many situations in image processing and computer vision. Many algorithms based on finite dimensional particle filters have been proposed. Recently, particle filters for ...

Springer Berlin Heidelberg2012