Call for Papers
Probabilistic Models in Computer Vision
Special Issue of Image and Vision Computing
The Journal of Image and Vision Computing (http://www.elsevier.com/locate/imavis) invites contributions for a Special Issue on Probabilistic Models in Computer Vision. Full papers should be sent to the address below and are due by 1st December 2001. The journal's web site contains guidelines for authors.
Following the recent one-day British Machine Vision Association Symposium in association with the RSS Statistical Image Analysis and Processing Study Group on Probabilistic Models in Vision and Signal Processing this special issue will attempt to capture the main objective of the day which was to explore the common ground between the two communities.
Possible topics may include (but are not limited to):
- Bayesian Estimation
- Image Sequences and Tracking
- State Space and Hidden Markov Models
- Particle Filtering and Smoothing
Such approaches are being applied to a large number of interesting real-world problems in computer vision, such as medical prognosis, tracking, motion estimation and generation, communications, blind deconvolution, statistical model diagnostic tools, automatic control, navigation and neural network training.
High quality, previously unpublished papers are solicited. Four copies of the complete manuscript should be sent to Richard Bowden at the address below before December 1st 2001. Please also email either pdf or ps version of your manuscript to email@example.com. Expressions of interest should be made asap.
Center for Vision, Speech and Signal Processing,
University of Surrey
Guildford, Surrey GU2 5XH, UK
email : firstname.lastname@example.org
Enquires before July 23rd 2001 should be sent to
email : email@example.com