Publications associées à Point-set registration

Joint Statistical Analysis of Images and Keywords with Applications in Semantic Image Enhancement

Sabine Süsstrunk, Albrecht Johannes Lindner, Appu Shaji

With the advent of social image-sharing communities, millions of images with associated semantic tags are now available online for free and allow us to exploit this abundant data in new ways. We present a fast non-parametric statistical framework designed ...

2012

Geometric Registration for Deformable Shapes

Mark Pauly, Hao Li

This tutorial overviews recent exciting and rapidly evolving research on registration and correspondence finding across multiple deforming shapes. We address the basic techniques of three main topic areas: <br>Pair-wise local optimization methods &l ...

The Eurographics Association2010

Fast Structure from Motion for Planar Image Sequences

Pierre Vandergheynst, Luigi Bagnato, Andreas Weishaupt

Dense three-dimensional reconstruction of a scene from images is a challenging task. Usually, it is achieved by finding correspondences in successive images and computing the distance by means of epipolar geometry. In this paper, we propose a variational f ...

2010

Simultaneous Point Matching and 3D Deformable Surface Reconstruction

Pascal Fua, Appu Shaji, Aydin Varol

It has been shown that the 3D shape of a deformable surface in an image can be recovered by establishing correspondences between that image and a reference one in which the shape is known. These matches can then be used to set-up a convex optimization prob ...

Ieee Computer Soc Press, Customer Service Center, Po Box 3014, 10662 Los Vaqueros Circle, Los Alamitos, Ca 90720-1264 Usa2010

Affordable SLAM through the Co-Design of Hardware and Methodology

Francesco Mondada, Hannes Bleuler, Paolo Germano, Michael Bonani, Stéphane Magnenat, Philippe Rétornaz, Valentin Longchamp

SLAM is a prominent feature for autonomous robots operating in undefined environments. Applications areas such as consumer robotics appliances would clearly benefit from low-cost and compact SLAM implementations. The SLAM research community has developed s ...

IEEE Press2010

Tracking and Structure from Motion

Pierre Vandergheynst, Luigi Bagnato, Emmanuel D'Angelo, Andreas Weishaupt

Dense three-dimensional reconstruction of a scene from images is a very challenging task. In the structure from motion approach one of the key points is to compute depth maps which contain the distance of objects in the scene to a moving camera. Usually, t ...

2010

Simultaneous Pose, Correspondence and Non-Rigid Shape

Pascal Fua, Jonas Olof Martin Östlund

Recent works have shown that 3D shape of non-rigid surfaces can be accurately retrieved from a single im- age given a set of 3D-to-2D correspondences between that image and another one for which the shape is known. However, existing approaches assume that ...

2010

Template-Free Monocular Reconstruction of Deformable Surfaces

Pascal Fua, Mathieu Salzmann, Engin Tola, Aydin Varol

It has recently been shown that deformable 3D surfaces could be recovered from single video streams. However, existing techniques either require a reference view in which the shape of the surface is known a priori, which often may not be available, or requ ...

2009

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Point-set registration

Joint Statistical Analysis of Images and Keywords with Applications in Semantic Image Enhancement

Vision-Based Scene Understanding with Sparsity Promoting Priors

Geometric Registration for Deformable Shapes

Exploring Ambiguities for Monocular Non-Rigid Shape Estimation

Fast Structure from Motion for Planar Image Sequences

Simultaneous Point Matching and 3D Deformable Surface Reconstruction

Affordable SLAM through the Co-Design of Hardware and Methodology

Tracking and Structure from Motion

Simultaneous Pose, Correspondence and Non-Rigid Shape

Template-Free Monocular Reconstruction of Deformable Surfaces

Graph Chatbot

Chattez avec Graph Search

Fast Structure from Motion for Planar Image Sequences

Simultaneous Point Matching and 3D Deformable Surface Reconstruction

Template-Free Monocular Reconstruction of Deformable Surfaces

Joint Statistical Analysis of Images and Keywords with Applications in Semantic Image Enhancement

Vision-Based Scene Understanding with Sparsity Promoting Priors

Exploring Ambiguities for Monocular Non-Rigid Shape Estimation

Affordable SLAM through the Co-Design of Hardware and Methodology

Geometric Registration for Deformable Shapes

Tracking and Structure from Motion

Simultaneous Pose, Correspondence and Non-Rigid Shape