WCCI 2016

WCCI 2016 Special Session on Machine Learning Methods applied to Vision and Robotics (MLMVR)

WCCI 2016 Special Session on Machine Learning Methods applied to Vision and Robotics (MLMVR)

News:

Important dates:

  • January 15, 2016: Submission of papers
  • March 15, 2016: Papers acceptance notification
  • April 15, 2016: Submission of final papers
  • July 25-29: 2016 WCCI Conference

Sponsors:

Aims

Over the last decades there has been an increasing interest in using machine learning methods combined with computer vision techniques to create autonomous systems that solve vision problems in different fields. This special session is designed to serve researchers and developers to publish original, innovative and state-of-the art algorithms and architectures for real time applications in the areas of computer vision, image processing, biometrics, virtual and augmented reality, neural networks, intelligent interfaces and biomimetic object-vision recognition..

This special session provides a platform for academics, developers, and industry-related researchers belonging to the vast communities of *Neural Networks*, *Computational Intelligence*, *Machine Learning*, *Biometrics*, *Vision systems*, and *Robotics *, to discuss, share experience and explore traditional and new areas of the computer vision and machine learning combined to solve a range of problems. The objective of the workshop is to integrate the growing international community of researchers working on the application of Machine Learning Methods in Vision and Robotics to a fruitful discussion on the evolution and the benefits of this technology to the society.

After the success of the special sessions organized for IJCNN 2013-2015 and WCCI 2014, we are pleased to organize a new special session in the same line in conjunction with WCCI 2016.


The Special Session topics can be identified by, but are not limited to, the following subjects: :

  • Artificial Vision
  • Video tracking
  • 3D Scene reconstruction
  • 3D Tracking in Virtual Reality
    • Volume visualization
  • Computational Intelligence
  • Machine Learning
  • Intelligent Interfaces (User-friendly Man Machine Interface)
  • Self-adaptation and self-organisational systems
  • Multi-camera and RGB-D camera systems
  • Robust computer vision algorithms (operation under variable conditions, object tracking, behaviour analysis and learning, scene segmentation)
  • Multi-modal Human Pose Recovery and Behavior Analysis
  • Gesture and posture analysis and recognition
  • Biometric Identification and Recognition
  • Extraction of Biometric Features (fingerprint, iris, face, voice, palm, gait)
  • Surveillance systems
  • Robotics vision
  • Hardware implementation and algorithms acceleration (GPUs, FPGA,s,.)
MLMVR . 8 July 2015