This paper proposes a learnt data-driven approach for accurate, real-time tracking of facial features using only intensity information. Constraints such as a-priori shape models o...
Eng-Jon Ong, Yuxuan Lan, Barry Theobald, Richard H...
Traditional binary hypothesis testing relies on the precise knowledge of the probability density of an observed random vector conditioned on each hypothesis. However, for many app...
This paper presents a method of image processing used in a mono-vision system in order to study semiotic gestures. We present a robust method to track the hands and face of a perso...
The paper introduces a robust spelling correction technique to deal with ill-formed input strings, including unknown parts of unknown length. In contrast to previous works, we deri...
Manuel Vilares Ferro, Juan Otero Pombo, Jesú...
In this paper we discuss some aspects related to the practical assessment of the quality of a grasp by a robotic hand on objects of unknown shape, based on sensorial feedback from...
Domenico Prattichizzo, John Kenneth Salisbury Jr.,...