Energy minimization methods have become an established computational paradigm in computer vision and pattern recognition.
EMMCVPR is a regular bi-annual conference dedicated to advancing the state of the art in this field.
This year marks the 20th anniversary of the foundation of the conference series, with the inaugural meeting having taken place in Venice in 1997, and we will celebrate it by bringing it back to Venice.
The conference will be co-located with ICCV 2017, the International Conference on Computer Vision.
As with the previous editions, the proceedings will be published by Springer in the Lecture Notes in Computer Science (LNCS) series. The scientific program will include the presentation of invited plenary talks and contributed research papers.
Technische Universität München
Universidade de Lisboa
University of York
University of Venice
University of Florida
INRIA , Sophia Antipolis
All papers (not exceeding 14 pages, including references) must be submitted electronically at the EasyChair conference website. All submissions will be subject to a rigorous peer-review process. Non-anonymous submissions are allowed. Accepted papers will appear in the conference proceedings, which will be published in Springer’s Lecture Notes in Computer Science (LNCS) series after the conference. In preparing your paper use Springer's Latex2e document style, see Information for LNCS Authors.