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With the rapid development of computer science, gesture recognition has been a highlight of research in the area of Human Computer Interaction (HCI). Generally speaking, gesture recognition can be divided into two types: static gesture recognition and dynamic gesture recognition. Under the background of the aging population, how to use the method of gesture recognition to help the elderly adapt to...
Human Computer Interaction (HCI) has been a popular research area during the last few years. Compared with the tradition HCI methods such as using a keyboard or mouse, people prefer to have their tasks done in a more natural way. As an essential form of non-verbal communication in daily life, gesture is a good choice to turn the ideas into reality. Although various recognition methods are proposed...
Automatic robotic drawing is a fantastic demo to show the combination of intelligence and robot technique. It requires automatic feature extraction, complex robot path planning and optimization, which can make many contributions in industrial manufacturing. In this paper, we propose a hybrid method by combining local binarization with global binarization to extract features. The extracted features...
In this paper, the method of orthogonal wavelet transform was used to decompose monolayer from fabric image. And the sub-images of horizontal and vertical direction are extracted to represent respectively the textures of fabric in warp and weft. Then, energy in warp and weft; variance, entropy and range of eigenvalue is calculated. And they were also compared to the normal control to determine whether...
This paper adopts optimal tree structure of wavelet transform algorithm. And extraction of sub-image characterization-frequency bands of intermediate frequency of fabric image texture. Calculating the value of entropy and energy is as characteristic quantity of defect detection. And they were also compared to characteristic value of the normal image for judging whether defect exists. Meanwhile, some...
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