Direct use of the hand as an input device is an attractive method for providing natural human–
computer interaction (HCI). Currently, the only technology that satisfies the advanced …

This work addresses a novel and challenging problem of estimating the full 3D hand shape
and pose from a single RGB image. Most current methods in 3D hand analysis from …

Hand pose estimation from single depth images is an essential topic in computer vision and
human computer interaction. Despite recent advancements in this area promoted by …

Direct use of the hand as an input device is an attractive method for providing natural human-
computer interaction (HCI). Currently, the only technology that satisfies the advanced …

With the development of ubiquitous computing, current user interaction approaches with
keyboard, mouse and pen are not sufficient. Due to the limitation of these devices the …

This paper proposes a two level approach to solve the problem of real-time vision-based
hand gesture classification. The lower level of the approach implements the posture …

In many applications of graphical models arising in computer vision, the hidden variables of
interest are most naturally specified by continuous, non-Gaussian distributions. There exist …

An image segmentation system is proposed for the segmentation of color image based on
neural networks. In order to measure the color difference properly, image colors are …

Continuous quantities are ubiquitous in models of real-world phenomena, but are
surprisingly difficult to reason about automatically. Probabilistic graphical models such as …

Most e-learning environments which utilize user feedback or profiles, collect such
information based on questionnaires, resulting very often in incomplete answers, and …