To honor his contributions to the scientific community, this event focused on inferring the parameters of geometric structures within images or scenes which is one of the key aspects in computer vision. The topics particularly addressed by this workshop include general optimization of such problems and accurate parameter estimation in the presence of noisy data. The workshop intended to bring together researchers from these fields, encourage new ideas, discussions and theoretical or practical contributions.
Topics of interest include the following subjects from computer vision, but are not limited to:
geometric modeling of the imaging process and 3D reconstruction
the geometry of 3D objects or scenes, and their projection into images
camera motion, moving objects, and dynamic scenes
invariances in images
inference of parameters of geometric structures in images, videos, or 3D scenes
estimation in the presence of noise
dependences in visual cue integration
model selection and testing
geometric or statistical methods for segmentation, analysis, and understanding
geometric or statistical methods for image, video and data segmentation
shape analysis and shape fitting
learning for object detection, recognition, or tracking
geometric or statistical theories and computer vision
Paper submission deadline: August 20th, 2013 (June 15th 29th, 2013, for dual submission via the main PSIVT conference).
Rebuttal period : September 13th - 16th16th - 18th, 2013.
Paper acceptance notification: September 20th, 2013.
Camera-ready copy due: September 25th, 2013.
Workshop day: October 29th, 2013.
Following the review process of the main conference PSIVT 2013, all papers were subject to a double-blind review process which was carried out by at least two experienced researchers in the field, also including a brief rebuttal at the end of the decision process. Accepted papers will be included in the PSIVT 2013 proceedings of the workshops published by Springer-Verlag in the Lecture Notes in Computer Science collection.