Chairperson: José García-Rodríguez -University of Alicante (Spain)
Co-Chairs:
Miguel Cazorla
- University of Alicante (Spain)
Jorge Azorín -
University of Alicante (Spain)
Abstract:
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.
The Special Session topics can be identified by, but are not limited to, the following subjects:
- Artificial Vision
- Video tracking
- 3D Scene reconstruction3D Tracking in Virtual Reality Environments
- Volume visualization
- Computational Intelligence
- 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)
- 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,...)
Full Call for Papers