Morph an image to resemble a painting in the style of the great masters

A group of researchers at the University of Tubingen, Germany, have developed an algorithm that can morph an image to resemble a painting in the style of the great masters. Technically called “deep learning” algorithms, they are already in use by companies such as Google for image recognition and other applications.

“The system uses neural representations to separate and recombine content and style of arbitrary images, providing a neural algorithm for the creation of artistic images,” the researchers wrote in their paper. “Here we introduce an artificial system based on a Deep Neural Network that creates artistic images of high perceptual quality.”

A photograph of apartments by a river in Tubingen, Germany was processed to be stylistically similar to various paintings, including J.M. Turner’s “The Wreck of a Transport Ship,” Van Gogh’s “The Starry Night,” and Edvard Munch’s “The Scream.”

http://www.boredpanda.com/computer-deep-learning-algorithm-painting-masters/

More info: arxiv.org | PDF | Twitter (h/t: epochtimes)

ICPRS-2016

20-22 April 2016, Talca, Chile

The International Conference on Pattern Recognition Systems (ICPRS) is a development from the successful Chilean Conference on Pattern 
Recognition that reached its 5th edition in 2014. It is organised by the Chilean Association of Pattern Recognition, ACHiRP (affiliated to the IAPR) and is sponsored by the Vision and Imaging Professional Network of the (UK) Institution of Engineering and Technology (IET) who will publish its proceedings (of accepted papers in English where at least one author registers and presents the work at the conference). Papers deemed to be of the required standard and presented at the conference, will be indexed by INSPEC and, through it, IEEE Xplore.  All paper submissions will be submitted via Conftool to be peer-reviewed by an international panel of experts. Excellent papers will be invited to submit extended versions for consideration in IET research journals (Computer Vision, Image Processing, Biometrics). For more information see http://www.icprs.org or contact info@icprs.org

Call for Papers
Interested authors are invited to  submit papers describing novel and previously unpublished results on topics including, but not limited to:
 Artificial Intelligence Techniques in Pattern Recognition
 Bioinformatics Clustering
 Computer Vision
 Data Mining
 Document Processing and Recognition
 Face Recognition
 Fuzzy and Hybrid Techniques in PR
 High Performance Computing for Pattern Recognition
 Image Processing and Analysis
 Kernel Machines
 Mathematical Morphology
 Mathematical Theory of Pattern Recognition
 Natural Language Processing and Recognition
 Neural Networks for Pattern Recognition
 Pattern Recognition Principles
 Real Applications of Pattern Recognition
 Robotics
 Remote Sensing
 Shape and Texture Analysis
 Signal Processing and Analysis
 Statistical Pattern Recognition
 Syntactical and Structural Pattern Recognition
 Voice and Speech Recognition

Key Dates
       Paper Submission Deadline:    13th January 2016  (camera ready, max. 6 pages)
       Notification of acceptance:    21st  February 2016
       Camera-ready papers:    5th  March 2016

Organised by the Chilean Association of Pattern Recognition (affiliated to the IAPR)
Co-sponsored by the IET's Vision and Imaging Professional Network