Header
  • Bernd Jähne - Welcome & Introduction
    •
  • Michel Ollivier - Welcome Note from TIAMA, Gold Sponsor of the forum
    •
  • Arnaud Mestivier - Machine Vision is changing, lighting adapts and innovates
    •
  • Sébastien Frasse-Sombet - European-Made Infrared Image Sensors for Machine Vision Applications
    •
  • André Frooehly - New developments in radar imaging with applications to high resolution surface reconstruction
    •
  • Peter Seitz - The future of image sensing - More intelligence or more sensing?
    •
  • Davide Migliore - Using time in event-based vision for advanced machine perception
    •
  • Dominik Walter - Quantum Ghost Imaging for Remote Sensing
    •
  • Doris Antensteiner - Single image multi-spectral photometric stereo unsing a split u-shaped CNN
    •
  • Johannes Meyer - Material Defect Detection in Transparent Objects by SNR-optimized Image Fusion
    •
  • Matteo Poggi - Single camera Stereo Robot (SiSteR)
    •
  • Samo Šela - In-Line Deep-Learning Approach for Surface-Defect Detection
    •
  • Christian Wolf - Learning high-level reasoning in and from images
    •
  • Stefan Duffner - Towards low-complexity computer vision with deep neural network compression
    •
  • Matteo Poggi - Real-time self-adaptive deep stereo
    •
  • Jean-Eric Michallet - French Evening I: The ecosystem of digital technologies in Auvergne-Rhône-Alpes
    •
  • Christian Wolf - French Evening II: Activities of LIRIS
    •
  • François Simoens - French Evening III: CEA-TECH - Speeding up innovation for industry
    •
  • Steffen Sauer - Simulation-based Assistance for Manual Optical Inspection Tasks
    •
  • Chiara Fend - Reinforcement Learning for Accurate Object Detection on Supermarket Shelves
    •
  • Bernd Jähne - Integrating Optical Components into Vision Systems by an Open Communication Interface — EMVA’s new OOCI Standard
    •
  • Jens Döge - A Vision System-on-Chip with Multi-Stage Compressing Readout
    •
  • Gregory Duchene - Improving vision systems efficiency through integral optical system design
    •
  • Glenn-Iv Plaine - Corning Varioptic Lenses
    •
  • Peter O'Brien - Packaging and assembly challenges for integrated photonics - development of manufacturing solutions for communications, medical and security markets
    •
  • François Simoens - The convergence of photonics and electronics: an opportunity for machine vision
    •
  • Alexis Debray - Technology Transitions in the Machine Vision Industry
    •
  • Bernd Jähne - Announcement of Location and Focal Topic of the 5th European Machine Vision Forum / Farewell
    •
  • The convergence of photonics and electronics: an opportunity for machine vision
    •
  • Huge innovation potential of photonics
    •
  • 4 mayor technological trends to support the evolution of photonics throughout the 21st century
    •
  • Toolbox Trend 1: Phototonics moves towards CMOS-type design an FAB
    •
  • Toolbox Trend 2: Wafer-scaled integration technologies with denser interconnection between photonic and CMOS chip
    •
  • Toolbox Trend 3: Chip/Wafer levelintgration of optical functions
    •
  • Toolbox Trend 3: Example of optical element suppression
    •
  • Toolbox trend 4: Embedded processing & co-design photonics & electronics technology-software
    •
  • Tollbox Trend 4: Embedded processing in photonics, from imagers to vision chips
    •
  • Toolbox trend 4: Embedded processing in photonics, example INIR sensor with built-in 1st level image processing
    •
  • Toolbox trend 4: Embedded processing in photonics, example of smart retina using 3D stacking
    •
  • Toolbox trend 4: Example of co-design photonics & electronics technology, software for LIDAR
    •
  • Toolbox Trend 4: Example co-design technology-software for LIDAR Leti´s guideline towards miniaturized, low cost & smart LIDAR
    •
  • Summary: 4 major technological trends to support the evolution of photonics throughout the 21st century
    •
  • Perspectives: Major impacts of the convergence of photonics and electronics within 3 to 5 years
    •
  • Perspectives: Intelligent photonics sensors & systems with intelligence at the edge
    •
  • Takeaways
    •