The diversification of the development in humancomputer interaction provides users more and more interactive experience which is totally different than usual. As one of the sense organs that serve as a proxy for human attention and intention, we can give users better interaction closer to their need by observing the change of the eyes. This paper proposes a low-cost system, using a non-infrared...

Extract of facial feature points has become an important issue in many applications, such as face recognition, expression recognition, and face detection. A method of facial feature extraction-based and corner detection is presented in this paper. In this method develop a technique for extracting the facial features from a color image captured by the online webcam, under normal lighting conditi...

The novel STEVE (i.e., Space-Time-Enclosing Volume Extraction) algorithm is described here for the very first time. It generates iso-valued hypersurfaces that may be implicitly contained in four-dimensional (4D) data sets, such as temporal sequences of three-dimensional images from time-varying computed tomography. Any final hypersurface that will be generated by STEVE is guaranteed to be free ...

We introduce a novel, fully unsupervised method to extract keywords from meeting speech in real-time. Our approach represents text as a word co-occurrence network and leverages the k-core graph decomposition algorithm and properties of submodular functions. We outperform multiple baselines in a real-time scenario emulated from the AMI and ICSI meeting corpora. Evaluation is conducted against bo...

The constantly growing size of datasets over the past two decades has put new requirements on the space and time efficiency of isosurface extraction methods. We present a novel approach to fast isosurface extraction, which significantly shortens the preprocessing time and lowers the space requirements. A new computationally inexpensive technique is proposed for transformation of the original vo...

We define the basic problem of subgrammar extraction for head-driven phrase structure grammars (HPSG) in the following way: Given a large HPSG grammarG and a set of wordsW , find a small subgrammar of G that accepts the same set of sentences fromW asG, and for each of them produces the same parse trees. The set of words W is obtained from a piece of text. Additionally, we assume that this opera...

1077-3142/$ see front matter Crown Copyright 2 doi:10.1016/j.cviu.2011.11.002 ⇑ Corresponding author. Address: Room 725, Cen University, Beijing 100084, China. Fax: +86 10 62788 E-mail address: [email protected] (Q. D This paper presents a random-walk-based feature extraction method called commute time guided transformation (CTG) in the graph embedding framework. The paper contributes...

Considerable research attention has been given to close-range videometric systems for vision-based, three-dimensional object measurement over recent years. These systems have to demonstrate high speed, high accuracy capability and high flexibility to compete as a three-dimensional coordinate measurement tool. Especially in industries where instant feedback is required, such as production line o...

sugar, which can be extracted from sugar cane and sugar beet, is one of the most important ingredients of food. conducting more research to increase the extraction efficiency of sugar is necessary due to high production of sugar beet and its numerous processing units in northern khorasan province. in this research, the effect of temperature, time and the frequency of ultrasonic waves on mechani...

In this paper, we propose some new tools to allow machine learning classiiers to cope with time series data. We rst argue that many time-series classiication problems can be solved by detecting and combining local properties or patterns in time series. Then, a technique is proposed to nd patterns which are useful for classiication. These patterns are combined to build interpretable classiicatio...