Institute Homepage
Institute Homepage
EN
Sign In
Forschung
Forschung
Forschung
Übersicht
Publikationen
Abteilungen
Empirische Inferenz
Haptische Intelligenz
Perzeptive Systeme
Physische Intelligenz
Robotik-Materialien
Soziale Grundlagen der Informatik
Forschungsgruppen
Algorithms and Society
Biomimetic Materials and Machines
Deep Models and Optimization
Human Aspects of Machine Learning
Learning and Dynamical Systems
Organizational Leadership and Diversity
Robotic Composites and Compositions
Robust Machine Learning
Safety- and Efficiency-Aligned Learning
Über uns
Über uns
Personen
Wissenschaft
Personenverzeichnis
Alumni-Netzwerk
Kontakt
Management
Kontakt
Anreise
Our Institute
Unser Institut
Campus-Überblick
Campuseinrichtungen
Code of Conduct
Anlaufstellen für Institutsangehörige
Unsere Geschichte
100/10-jähriges Jubiläum
Karriere
Karriere
Karriere
Karriere
Offene Stellen
Überblick über Promotionsprogramme
Doctoral Programs Overview
International Max Planck Research School for Intelligent Systems
Max Planck ETH Center for Learning Systems
ELLIS PhD Program
Karriere
Praktika
Planck Academy
Service
Service
Service-Einrichtungen
Unsere Services
Verwaltung
Scientific Coordination Office
IT Services
Welcome Service
Zentrale Wissenschaftliche Einrichtungen
Überblick
Materials
Medical Systems
Optics and Sensing Laboratory
Robotics
Scientific Computing
Software Workshop
Werkstätten
Workshop Overview
Fine Mechanical Workshop
Glass Workshop
Central Mechanical Workshop
Mechatronics Workshop
Campus Services
Campuseinrichtungen
Bibliothek
Max Planck House Tübingen
Impact
Impact
Impact
Unser Impact
Diversität
Nachhaltigkeit
Entrepreneurship & Innovation
Kooperationen
Unsere Partner
Promotionsprogramme
Initiativen und Partner
Cyber Valley
European Laboratory for Learning and Intelligent Systems
ELLIS Institute Tübingen
Tübingen AI Center
Personen
Aktuelles
Events
Forschung
Forschung
Forschung
Übersicht
Publikationen
Abteilungen
Empirische Inferenz
Haptische Intelligenz
Perzeptive Systeme
Physische Intelligenz
Robotik-Materialien
Soziale Grundlagen der Informatik
Forschungsgruppen
Algorithms and Society
Biomimetic Materials and Machines
Deep Models and Optimization
Human Aspects of Machine Learning
Learning and Dynamical Systems
Organizational Leadership and Diversity
Robotic Composites and Compositions
Robust Machine Learning
Safety- and Efficiency-Aligned Learning
Über uns
Über uns
Personen
Wissenschaft
Personenverzeichnis
Alumni-Netzwerk
Kontakt
Management
Kontakt
Anreise
Our Institute
Unser Institut
Campus-Überblick
Campuseinrichtungen
Code of Conduct
Anlaufstellen für Institutsangehörige
Unsere Geschichte
100/10-jähriges Jubiläum
Karriere
Karriere
Karriere
Karriere
Offene Stellen
Überblick über Promotionsprogramme
Doctoral Programs Overview
International Max Planck Research School for Intelligent Systems
Max Planck ETH Center for Learning Systems
ELLIS PhD Program
Karriere
Praktika
Planck Academy
Service
Service
Service-Einrichtungen
Unsere Services
Verwaltung
Scientific Coordination Office
IT Services
Welcome Service
Zentrale Wissenschaftliche Einrichtungen
Überblick
Materials
Medical Systems
Optics and Sensing Laboratory
Robotics
Scientific Computing
Software Workshop
Werkstätten
Workshop Overview
Fine Mechanical Workshop
Glass Workshop
Central Mechanical Workshop
Mechatronics Workshop
Campus Services
Campuseinrichtungen
Bibliothek
Max Planck House Tübingen
Impact
Impact
Impact
Unser Impact
Diversität
Nachhaltigkeit
Entrepreneurship & Innovation
Kooperationen
Unsere Partner
Promotionsprogramme
Initiativen und Partner
Cyber Valley
European Laboratory for Learning and Intelligent Systems
ELLIS Institute Tübingen
Tübingen AI Center
Personen
Aktuelles
Events
Back
Perzeptive Systeme
IS Colloquium
Biography
20 March 2014 at 11:15 - 12:30 | Max Planck House Lecture Hall
Multi-View Perception of Dynamic Scenes
ORGANIZERS
Perzeptive Systeme
Gerard Pons-Moll
Affiliated Researcher
The INRIA MORPHEO research team is working on the perception of moving shapes using multiple camera systems. Such systems allows to recover dense information on shapes and their motions using visual cues. This opens avenues for research investigations on how to model, understand and animate real dynamic shapes using several videos. In this talk I will more particularly focus on recent activities in the team on two fundamental components of the multi-view perception of dynamic scenes that are: (i) the recovery of time-consistent shape models or shape tracking and (ii) the segmentation of objects in multiple views and over time.
Speaker Biography
Edmond Boyer (INRIA Grenoble Rhône-Alpes)
Weitere Informationen
Diese Website verwendet Cookies, um sicherzustellen, dass Sie die bestmögliche Nutzererfahrung erhalten.
Mehr erfahren
.
Accept