A Collaborative Filtering Approach to Real-Time Hand Pose Estimation: Supplementary Material

Predictive Tracking in Vision-based Hand Pose Estimation using Unscented Kalman Filter and Multi-viewpoint Cameras

One of the major challenges in human-robot interaction is how to enable the use of unrestricted hand motion as a tool for communication. The direct use of hand as an input tool enables the user to connect to systems more naturally, allowing them to become an integral part of our daily lives. A vision-based approach, using cameras to capture data, supports non-contact and unrestricted movement o...

Robust Hand Pose Estimation during the Interaction with an Unknown Object - Supplementary Material

Change Point Estimation of the Stationary State in Auto Regressive Moving Average Models, Using Maximum Likelihood Estimation and Singular Value Decomposition-based Filtering

In this paper, for the first time, the subject of change point estimation has been utilized in the stationary state of auto regressive moving average (ARMA) (1, 1). In the monitoring phase, in case the features of the question pursue a time series, i.e., ARMA(1,1), on the basis of the maximum likelihood technique, an approach will be developed for the estimation of the stationary state’s change...

Intelligent Approach for Attracting Churning Customers in Banking Industry Based on Collaborative Filtering

During the last years, increased competition among banks has caused many developments in banking experiences and technology, while leading to even more churning customers due to their desire of having the best services. Therefore, it is an extremely significant issue for the banks to identify churning customers and attract them to the banking system again. In order to tackle this issue, this pa...

Camera Pose Estimation in Unknown Environments using a Sequence of Wide-Baseline Monocular Images

In this paper, a feature-based technique for the camera pose estimation in a sequence of wide-baseline images has been proposed. Camera pose estimation is an important issue in many computer vision and robotics applications, such as, augmented reality and visual SLAM. The proposed method can track captured images taken by hand-held camera in room-sized workspaces with maximum scene depth of 3-4...