MORPHEO - 2019 - Annual activity report

MORPHEO

MORPHEO - 2019

Project-Team Morpheo

Team, Visitors, External Collaborators

Overall Objectives

Research Program

Shape and Appearance Modeling
Dynamic Shape Vision
Inside Shape Vision
Shape Animation

Application Domains

4D modeling
Shape Analysis
Human Motion Analysis
Virtual and Augmented Reality

Highlights of the Year

New Software and Platforms

Lucy Viewer
Shape Tracking
QuickCSG V2
CVTGenerator
Adaptive mesh texture

New Results

Surface Motion Capture Animation Synthesis
CBCT of a Moving Sample from X-rays and Multiple Videos
Learning and Tracking the 3D Body Shape of Freely Moving Infants from RGB-D sequences
The Virtual Caliper: Rapid Creation of Metrically Accurate Avatars from 3D Measurements
Adaptive Mesh Texture for Multi-View Appearance Modeling
Contact Preserving Shape Transfer for Motion Retargeting
A Decoupled 3D Facial Shape Model by Adversarial Training
Non-parametric 3D Human Shape Estimation from Single Images
Probabilistic Reconstruction Networks

Bilateral Contracts and Grants with Industry

Bilateral Contracts with Industry

Partnerships and Cooperations

Regional Initiatives
National Initiatives
International Research Visitors

Dissemination

Promoting Scientific Activities
Teaching - Supervision - Juries
Popularization

Bibliography

Major publications
Publications of the year

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Section: Highlights of the Year

Highlights of the Year

Awards

Best Paper Award:

[15]

R. Klokov, J. Verbeek, E. Boyer.

Probabilistic Reconstruction Networks for 3D Shape Inference from a Single Image, in: BMVC 2019 - British Machine Vision Conference, Cardiff, United Kingdom, September 2019, pp. 1-15, https://arxiv.org/abs/1908.07475 - Awarded with Best Science Paper Honourable Mention Award at BMVC'19..

https://hal.inria.fr/hal-02268466

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