• International Journal of Computer Science & Network Security
• /
• 제22권11호
• /
• pp.71-76
• /
• 2022

The article aims to consider the role of computer technologies in contemporary jewelry art. The importance of computer programming, 3D-modeling and 3D-printing for the process of jewelry creating, its advertising and sales is emphasized. Both the positive features of the possibility of using computer technologies in jewelry and their shortcomings are considered. The process of changing the nature of jewelry design after the start of the use of digital technologies is highlighted. The issue of changing the perception and evaluation of a work of jewelry art, the creation of which uses mechanization, has been updated.

• 한국동물학회지
• /
• 제39권1호
• /
• pp.26-35
• /
• 1996

쥐의 외측 망상핵으로부터 소뇌충부 제6엽 내의 각 소엽으로 신경 경로를 WGA-HRP를 이용한 역행수송법을 써서 조사하였다. 표지된 신경세포는 양측의 외측 망상핵에 모두 존재하였으나, 동축의 경우에 편중되어 있었다. 동측 또는 대측의 외측 망상핵의 큰 세포구획(magnocellular division)에서 국소순적으로 배열이 관찰되었는데, a소엽에서 c소엽으로의 투사가 동측의 큰 세포구획에서 등쪽에서 배쪽으로 분포양상을 보였으며, 대측의 큰세포구획에서는 다소 머리측에서 꼬리측 절편으로의 분포 양상을 보였다. 그 외 동측 또는 대측의 작은세포구획(parvocellular division) 및 삼차밑구획(subtrigeminal division)에서의 표지된 신경세포의 수는 극히 적었다. 한편 외측 망상핵으로부터 소뇌층부의 제6엽 a소엽/b소엽으로서의 투사에 관한 컴퓨터를 이용한 삼차원 재구성은 각 경우에 있어서 상당량의 투사의 중첩이 존재함을 보여주고 있다.

• 대한의용생체공학회:의공학회지
• /
• 제28권6호
• /
• pp.786-790
• /
• 2007

Up to now, surgeons have operated while peering at images which visualize the medical state of the patient such as MRI or CT images. On the other hand, direct-projected augmented reality technology liberates surgeons from the inconvenience by directly projecting medical information onto the patient's body. However surgeons still feel inconvenient when they mark surgical targets for planning an operation because they use an ink pen which is difficult to modify or delete and is also likely to be unsanitary. In this paper, we resolve these problems by proposing an interactive user interface based on direct-projected augmented reality technology and its validity is shown in experimental results.

• 한국컴퓨터그래픽스학회논문지
• /
• 제27권5호
• /
• pp.25-32
• /
• 2021

직접 볼륨 렌더링은 볼륨 표면의 연산 없이 2차원 공간에 투영하여 렌더링 한다. 직접 볼륨 렌더링에서 전이함수(TF)는 볼륨에 색상과 투명도와 같은 광원 특성을 할당하는데 활용된다. 하지만 초보자가 TF를 조작하여 볼륨데이터를 파악하고 색상을 할당하기까지 오랜 시간이 필요합니다. 본 논문에서는 직관적인 볼륨 렌더링을 위해 인터넷에서 수집한 이미지를 사용하여 TF에 볼륨의 색상을 매핑하는 접근 방식을 제안한다. 또한 우리는 K-means 클러스터링을 활용한 색상 추출 방법을 토의한다.

• Journal of Multimedia Information System
• /
• 제4권4호
• /
• pp.289-294
• /
• 2017

In this paper, we implement to make the character content with the floating hologram. The floating hologram is the one of hologram techniques for projecting the 2D image to represent the 3D image in the air using the glass panel. The floating hologram technique is easy to apply and is used in exhibitions, corporate events, and advertising events. This paper uses both the depth information and the unreal engine for the floating hologram. Simulation results show that this method can make the character content to follow the movement of the user in the real time by capturing the depth video.

• International Journal of Contents
• /
• 제14권4호
• /
• pp.24-29
• /
• 2018

EEG-based brain-computer interfaces has focused on explicitly expressed intentions to assist physically impaired patients. For EEG-based-computer interfaces to function effectively, it should be able to understand users' implicit information. Since it is hard to gather EEG signals of human brains, we do not have enough training data which are essential for proper classification performance of implicit intention. In this paper, we improve the subject independent classification of implicit intention through the generation of additional training data. In the first stage, we perform the PCA (principal component analysis) of training data in a bid to remove redundant components in the components within the input data. After the dimension reduction by PCA, we train ICA (independent component analysis) network whose outputs are statistically independent. We can get additional training data by adding Gaussian noises to ICA outputs and projecting them to input data domain. Through simulations with EEG data provided by CNSL, KAIST, we improve the classification performance from 65.05% to 66.69% with Gamma components. The proposed sample generation method can be applied to any machine learning problem with fewer samples.

• 한국멀티미디어학회논문지
• /
• 제21권5호
• /
• pp.626-637
• /
• 2018

Human exchanges information not only through words, but also through body gesture or hand gesture. And they can be used to build effective interfaces in mobile, virtual reality, and augmented reality. The past 2D gesture recognition research had information loss caused by projecting 3D information in 2D. Since the recognition of the gesture in 3D is higher than 2D space in terms of recognition range, the complexity of gesture recognition increases. In this paper, we proposed a real-time gesture recognition deep learning model and application in 3D space using deep learning technique. First, in order to recognize the gesture in the 3D space, the data collection is performed using the unity game engine to construct and acquire data. Second, input vector normalization for learning 3D gesture recognition model is processed based on deep learning. Thirdly, the SELU(Scaled Exponential Linear Unit) function is applied to the neural network's active function for faster learning and better recognition performance. The proposed system is expected to be applicable to various fields such as rehabilitation cares, game applications, and virtual reality.

• Journal of information and communication convergence engineering
• /
• 제2권2호
• /
• pp.123-127
• /
• 2004

The most popular technique for image retrieval in a heterogeneous collection of color images is the comparison of images based on their color histogram. The color histogram describes the distribution of colors in the color space of a color image. In the most image retrieval systems, the color histogram is used to compute similarities between the query image and all the images in a database. But, small changes in the resolution, scaling, and illumination may cause important modifications of the color histogram, and so two color images may be considered to be very different from each other even though they have completely related semantics. A new method of color feature representation based on the 3-dimensional RGB color map is proposed to improve the defects of the color histogram. The proposed method is based on the three 2-dimensional projection map evaluated by projecting the RGB color space on the RG, GB, and BR surfaces. The experimental results reveal that the proposed is less sensitive to small changes in the scene and that achieve higher retrieval performances than the traditional color histogram.

• 한국통신학회논문지
• /
• 제22권5호
• /
• pp.1107-1115
• /
• 1997

In this paper, we propose an error concealment method to recovre damaged block-based image coding schemes. Channel errors during transmission of image data such as bit errors or cell loss result in damaged image blocks in the reconstructed images. To recover damaged blocks is to estimate them using the correctly received or undamaged neighborhood information. In the proposed method, an overcomplete basis for a large block containing a damaged block at its center is introduced and damaged blocks are recovered by sequentially projecting the known neighborhood information onto the overcomplete basis function. Computer simulations show that the proposed algorithm outperforms the conventional method in subjectie recovery qualities as well as objective ones.

• Journal of information and communication convergence engineering
• /
• 제14권1호
• /
• pp.51-56
• /
• 2016

In this paper, we present a three-dimensional (3-D) automatic target recognition system based on optical integral imaging reconstruction. In integral imaging, elemental images of the reference and target 3-D objects are obtained through a lenslet array or a camera array. Then, reconstructed 3-D images at various reconstruction depths can be optically generated on the output plane by back-projecting these elemental images onto a display panel. 3-D automatic target recognition can be implemented using computational integral imaging reconstruction and digital nonlinear correlation filters. However, these methods require non-trivial computation time for reconstruction and recognition. Instead, we implement 3-D automatic target recognition using optical cross-correlation between the reconstructed 3-D reference and target images at the same reconstruction depth. Our method depends on an all-optical structure to realize a real-time 3-D automatic target recognition system. In addition, we use a nonlinear correlation filter to improve recognition performance. To prove our proposed method, we carry out the optical experiments and report recognition results.