The present Master Thesis describes a new Pose Estimation method based on Convolutional Neural Networks (CNN). This method divides the three-dimensional space in several regions and, given an input image, returns the ...

Traditional shape from silhouette methods compute the 3D shape as the intersection of the back-projected silhouettes in the 3D space, the so called visual hull. However, silhouettes that have been obtained with background ...

This paper presents a methodology for obtaining a 3D reconstruction of a dynamic scene in multi-camera settings. Our target is to derive a compact representation of the 3D scene which is effective and accurate, whatever ...

Different methods for radiographic image contrast enhancement are studied, implemented and compared. The efficiency of the techniques in improving image contrast is then evaluated both on a subjective evaluation from ...

Local invariant feature extraction methods are widely used for image-features matching. There exist a number of approaches aimed at the refinement of the matches between image-features. It is a common strategy among these ...

The study of the colonic volume is a procedure with strong relevance to gastroenterologists. Depending on the clinical protocols, the volume analysis has to be performed on MRI of the unprepared colon without contrast ...

[ANGLÈS] Neuroimaging techniques allow us to, processing Magnetic Resonance Imaging signals, understand the brain in a way we ever could image. With the tractorgaphy neuroimaging technique, we can extract the white-matter ...

The name ACCHER comes from the abbreviations of the project's name (Automation of Consumption Control of Household Energy Resources). This project is carried out in collaboration with Everis (Company dedicated to consulting), ...

The objective of this paper is the automatic recognition of human actions in video sequences. The use of spatio-temporal features for action recognition has become very popular in recent literature Instead of extracting ...