Image orientation detection using LBP-based features and logistic regression
In this work we present an algorithm for the automatic detection of the image orientation that relies on the image content as described by Local Binary Patterns (LBP).
In this work we present an algorithm for the automatic detection of the image orientation that relies on the image content as described by Local Binary Patterns (LBP).
A multi-touch tabletop system for browsing image databases, conceived for museums and art gallery exhibitions. The system exploits an innovative image browsing paradigm and image retrieval functionalities to perform natural and intuitive user interaction.
We consider the problem of how to automatically create pleasing photo collages: given a set of photos and a canvas area, we want to arrange the photos on the canvas in a pleasant unsupervised manner.