Publications related to Computing correspondences in geometric data sets

Caustic Art

The computation of caustics created by reflection or refraction of light is a well-studied problem in computer graphics. This paper investigates the inverse problem: Given a greyscale intensity image, find the shape of a surface that will cast a caustic th ...

2012

Beyond Bits: Reconstructing Images from Local Binary Descriptors

Pierre Vandergheynst, Alexandre Massoud Alahi, Emmanuel D'Angelo

Local Binary Descriptors (LBDs) are good at matching image parts, but how much information is actually carried? Surprisingly, this question is usually ignored and replaced by a comparison of matching performances. In this paper, we directly address it by t ...

2012

Gradient Response Maps for Real-Time Detection of Textureless Objects

Pascal Fua, Vincent Lepetit, Slobodan Ilic

We present a method for real-time 3D object instance detection that does not require a time-consuming training stage, and can handle untextured objects. At its core, our approach is a novel image representation for template matching designed to be robust t ...

Institute of Electrical and Electronics Engineers2012

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

Geodesic Active Fields - A Geometric Framework for Image Registration

Jean-Philippe Thiran, Xavier Bresson, Dominique Zosso

In this paper we present a novel geometric framework called geodesic active fields for general image registration. In image registration, one looks for the underlying deformation field that best maps one image onto another. This is a classic ill-posed inve ...

Institute of Electrical and Electronics Engineers2011

Active Deformation Fields: Dense Deformation Field Estimation for Atlas-based Segmentation using the Active Contour Framework

Jean-Philippe Thiran, Meritxell Bach Cuadra, Xavier Bresson, Valérie Duay, Subrahmanyam Venkata Ravi Mohana Sai Gorthi

This paper presents a new and original variational framework for atlas-based segmentation. The proposed framework integrates both the active contour framework, and the dense deformation fields of optical flow framework. This framework is quite general and ...

Elsevier2011

Real-time textured volume reconstruction using virtual and real video cameras

Daniel Thalmann, Stéphane Gobron, Junghyun Ahn, Clément Marx

Reconstructing objects in three dimensions (3D) has always been one of the primary tasks in the domain of computer graphics (CG). Succeeding in this task in real-time, including texture reconstruction, and with very low-cost hardware is the challenge prese ...

2010

An optimal first-order solver for the TV-$L_1$ optical flow problem

Pierre Vandergheynst, Gilles Puy, Emmanuel D'Angelo

In this study, we address the problem of computing efficiently a dense optical flow between two images under a total variation (TV) regularization and an

L_1

norm data fidelity constraint using a variational method. We build upon Nesterov's framework for ...

2010

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

Mental vision

Achille Peternier

Despite the wide amount of computer graphics frameworks and solutions available for virtual reality, it is still difficult to find a perfect one fitting at the same time the many constraints of research and educational contexts. Advanced functionalities an ...

EPFL2009

Computing correspondences in geometric data sets

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Caustic Art

Beyond Bits: Reconstructing Images from Local Binary Descriptors

Gradient Response Maps for Real-Time Detection of Textureless Objects

Geodesic Active Fields

Geodesic Active Fields - A Geometric Framework for Image Registration

Active Deformation Fields: Dense Deformation Field Estimation for Atlas-based Segmentation using the Active Contour Framework

Real-time textured volume reconstruction using virtual and real video cameras

An optimal first-order solver for the TV-$L_1$ optical flow problem

Geometric Registration for Deformable Shapes

Mental vision

Real-time textured volume reconstruction using virtual and real video cameras

Mental vision

Caustic Art

Gradient Response Maps for Real-Time Detection of Textureless Objects

Geodesic Active Fields - A Geometric Framework for Image Registration

Geodesic Active Fields

An optimal first-order solver for the TV-$L_1$ optical flow problem

Geometric Registration for Deformable Shapes

Beyond Bits: Reconstructing Images from Local Binary Descriptors

Active Deformation Fields: Dense Deformation Field Estimation for Atlas-based Segmentation using the Active Contour Framework