Publications by Pau Gargallo

Thesis

Contributions to the Bayesian Approach to Multi-View Stereo
Pau Gargallo
PhD Thesis, INPG, Grenoble, February, 2008
pdf, defense slides, videos: balls full term, balls interior term, balls horizon term, temple, dino, break dance.

Publications

CrowdDriven: A New Challenging Dataset for Outdoor Visual Localization
Ara Jafarzadeh, Manuel López Antequera, Pau Gargallo, Yubin Kuang, Carl Toft, Fredrik Kahl and Torsten Sattler
in Proc. IEEE/CVF International Conference on Computer Vision (ICCV 21), October 2021
paper

Mapillary Planet-Scale Depth Dataset
Manuel López Antequera, Pau Gargallo, Markus Hofinger, Samuel Rota Bulò, Yubin Kuang and Peter Kontschieder
in Proc. European Conference on Computer Vision (ECCV 20), August 2020
paper

Mapillary Street-Level Sequences: A Dataset for Lifelong Place Recognition
Frederik Warburg, Søren Hauberg, Manuel López Antequera, Pau Gargallo, Yubin Kuang and Javier Civera
in Proc. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 20), June 2020
paper

Deep Single Image Camera Calibration with Radial Distortion
Manuel López Antequera, Roger Marí, Pau Gargallo, Yubin Kuang, Javier Gonzalez-Jimenez and Gloria Haro
in Proc. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 19), Long Beach, USA, June 2019
paper

Stereoscopic image inpainting using scene geometry
Alexandre Hervieu, Nicolas Papadakis, Aurélie Bugeau, Pau Gargallo and Vicent Caselles
in Proc. IEEE International Conference on Multimedia and Expo (ICME 11), Barcelona, 2011
pdf, bib

Virtual camera synthesis for soccer game replays
Nicolas Papadakis, Antonio Baeza, Xavier Armangué, Ignasi Rius, Aurélie Bugeau, Olivier D'Hondt, Pau Gargallo, Vicent Caselles and Sergi Sagàs
in Proc. Conference on Visual Media Production (CVMP 10), London, UK, November 2010
doi, bib, extended journal version (pdf), videos: bullet time 1, bullet time 2, dolly 1, dolly 2

A narrow band method for the convex formulation of discrete multi-label problems
Antonio Baeza, Vicent Caselles, Pau Gargallo and Nicolas Papadakis
SIAM Multiscale Modeling and Simulation, Volume 8, Number 5, Pages 2048--2078, 2010
doi

Stereoscopic image inpainting: distinct depth maps and images inpainting
Alexandre Hervieu, Nicolas Papadakis, Aurélie Bugeau, Pau Gargallo and Vicent Caselles
in Proc. International Conference on Pattern Recognition (ICPR 10), Istanbul, Turkey, August 2010
pdf

Polyconvexification of the multi-label optical flow problem
Nicolas Papadakis, Antonio Baeza, Pau Gargallo and Vicent Caselles
in Proc. International Conference on Image Processing (ICIP 2010), Hong Kong, China, September 2010
doi

Coherent Video Inpainting through Kalman Smoothing along Trajectories
Aurélie Bugeau, Pau Gargallo, Olivier D'Hondt, Alexandre Hervieu, Nicolas Papadakis and Vicent Caselles
in Proc. Vision, Modeling and Visualization Workshop (VMV2010), Siegen, Germany, November 2010
pdf

3D and Appearance Modeling from Images
Peter Sturm, Amaël Delaunoy, Pau Gargallo, Emmanuel Prados and Kuk-Jin Yoon
in Proc. 14th Iberoamerican Congress on Pattern Recognition, Guadalajara, Mexico, Volume 5856, November 2009
pdf

Minimizing the Multi-view Stereo Reprojection Error for Triangular Surface Meshes
Amaël Delaunoy, Emmanuel Prados, Pau Gargallo, Jean-Philippe Pons and Peter Sturm
in Proc. 19th British Machine Vision Conference (BMVC 08), Leeds, UK, September 2008
Awarded with the CRS Industrial Prize
pdf

An Occupancy--Depth Generative Model of Multi-View Images
Pau Gargallo, Peter Sturm and Sergi Pujades
in Proc. Asian Conference on Computer Vision, Tokyo, Japan, November 2007
pdf

Conic fitting using the geometric distance
Peter Sturm, Pau Gargallo
in Proc. Asian Conference on Computer Vision, Tokyo, Japan, November 2007
pdf

Minimizing the Reprojection Error in Surface Reconstruction from Images
Pau Gargallo, Emmanuel Prados and Peter Sturm
in Proc. International Conference on Computer Vision, Rio de Janeiro, Brazil, October 2007
pdf

Toward Global and Model based Multiview Stereo Methods for Shape and Reflectance Estimation
Kuk-Jin Yoon, Amaël Delaunoy, Pau Gargallo and Peter Sturm
in Proceedings of the First International Workshop on Photometric Analysis For Computer Vision, Rio de Janeiro, Brazil, October 2007
pdf

Shape and Reflectance Recovery using Multiple Images with Known Illumination Conditions
Kuk-Jin Yoon, Emmanuel Prados, Peter Sturm, Amaël Delaunoy and Pau Gargallo
INRIA Research Report, 2007
hal

General Specular Surface Triangulation
Thomas Bonfort, Peter Sturm and Pau Gargallo
in Proc. Asian Conference on Computer Vision, Hyderabad, India, January 2006
pdf, bibtex, videos 1, 2

Bayesian 3D Modeling from Images using Multiple Depth Maps
Pau Gargallo and Peter Sturm
in Proc. Conference on Computer Vision and Pattern Recognition, San Diego, USA, June 2005
pdf, bibtex, presentation, video

Photorealistic 3D Reconstruction from Handheld Cameras
Tomas Rodriguez, Peter Sturm, Pau Gargallo, Nicolas Guilbert, Anders Heyden, José Manuel Menendez and José Ignacio Ronda
Machine Vision and Applications, Volume 16, Number 4, Pages 246--257, September 2005
doi

French Conferences

Stéréo multi-vues: erreur de reprojection et maillages triangulaires
Amaël Delaunoy, Emmanuel Prados, Pau Gargallo, Jean-Philippe Pons and Peter Sturm
Actes des Journées ORASIS, Trégastel, France, June 2009

Minimiser l'erreur de reprojection en reconstruction de surfaces basée images
Pau Gargallo, Emmanuel Prados and Peter Sturm
Actes du 16e congrès francophone AFRIF-AFIA Reconnaissance des Formes et Intelligence Artificielle (RFIA 08), Amiens, France, January 2008

Modélisation à partir d'images en utilisant plusieurs cartes de profondeur
Pau Gargallo and Peter Sturm
Actes des Journées ORASIS, Fournols, France, May 2005
(Traduction honteusement illisible de l'article en anglais. Si vous voulez vraiment le lire : pdf, bibtex)

Patents

Methods for analysis of an image and a method for generating a dataset of images for training a machine-learned model
Yubin Kuang, Pau Gargallo, Manuel López Antequera, Roger Marí Molas and Jan Erik Solem
US Patent Application 17/439,355, June 2022
patent

Software

OpenSfM, an open source Structure from Motion library
Pau Gargallo, Yann Noutary, Yubin Kuang and contributors, 2016
github