• Journal of Electrical Engineering and information Science
• /
• v.2 no.5
• /
• pp.79-88
• /
• 1997

This paper introduces a new energy function, as maximum a posteriori(MAP) estimate of binocular disparity, that can deal with both random dot stereo-gram(RDS) and natural scenes. The energy function uses phase-magnitude as features to detect only the shift for a pair of corrupted conjugate images. Also we adopted Fleet singularity that effectively detects unstable areas of image plant and thus eliminates in advance error-prone stereo mathcing. The multi-scale concept is applied to the multi laser architecture that can search the solutions systematically from coarse to fine details and thereby avoids drastically the local minima. Using mean field approximation, we obtained a compact representation that is suitable for fast computation. In this manner, the energy function satisfies major natural constraints and requirements for implementing parallel relaxation. As an experiment, the proposed algorithm is applied to RDS and natural stereo images. As a result we will see that it reveals good performance in terms of recognition errors, parallel implementation, and noise characteristics.

• Proceedings of the Korean Society of Broadcast Engineers Conference
• /
• 1999.06a
• /
• pp.35.2-42
• /
• 1999

When we see a binary black and white image, it appears. to our visual sense, to become clearer because of a pseudo halftone. This is because when we don't notice of all the details of the image, instead we see from a more global standpoint. We presented a theory and experimental results for layered model which extended external world, retina and brain of the two dimensional visual model. This paper propose the objective evaluation to coincide with the subjective evaluation of the human in ordered to evaluate the relative merits of the various modulation method. We obtain experimentally the restored images and the measure of approximation of the density four division and ordered dither method. The measure of approximation present s the objective evaluation scale to coincide with the subjective evaluation of the two modulation images.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.16 no.4
• /
• pp.1146-1165
• /
• 2022

A huge amount of data in the form of videos and images is being produced owning to advancements in sensor technology. Use of low performance commodity hardware coupled with resource heavy image processing and analyzing approaches to infer and extract actionable insights from this data poses a bottleneck for timely decision making. Current approach of GPU assisted and cloud-based architecture video analysis techniques give significant performance gain, but its usage is constrained by financial considerations and extremely complex architecture level details. In this paper we propose a data pipeline system that uses open-source tools such as Apache Spark, Kafka and OpenCV running over commodity hardware for video stream processing and image processing in a distributed environment. Experimental results show that our proposed approach eliminates the need of GPU based hardware and cloud computing infrastructure to achieve efficient video steam processing for face detection with increased throughput, scalability and better performance.

• The Journal of Korea Robotics Society
• /
• v.17 no.3
• /
• pp.314-321
• /
• 2022

Depth information used in SLAM and visual odometry is essential in robotics. Depth information often obtained from sensors or learned by networks. While learning-based methods have gained popularity, they are mostly limited to RGB images. However, the limitation of RGB images occurs in visually derailed environments. Thermal cameras are in the spotlight as a way to solve these problems. Unlike RGB images, thermal images reliably perceive the environment regardless of the illumination variance but show lacking contrast and texture. This low contrast in the thermal image prohibits an algorithm from effectively learning the underlying scene details. To tackle these challenges, we propose multi-channel remapping for contrast. Our method allows a learning-based depth prediction model to have an accurate depth prediction even in low light conditions. We validate the feasibility and show that our multi-channel remapping method outperforms the existing methods both visually and quantitatively over our dataset.

• Proceedings of the Optical Society of Korea Conference
• /
• 1991.06a
• /
• pp.1-1
• /
• 1991

The fabrication of computer components requires a great variety of optical equipment. The patterning of integrated circuits is performed either on step-and-repeat cameras, scanning systems or step-and-repeat systems. The image forming optics used in these machines is quite difficult to design and fabricate. In addtion several layers of patterns must be precisely superposed, and also the illuminators have to provide the final irradiance in the image plane constant to within 1%. Other uses of specialized optical equipment are mass production of chip packages, inspection scanners and laser ablation cameras for polymers. The details of some of these systems will be described with particular ephasis on different optical structures and the use of excimer lasers as light sources.

• Journal of information and communication convergence engineering
• /
• v.21 no.2
• /
• pp.152-158
• /
• 2023

In recent years, as computer-generated imagery has been applied to more industries, realistic facial animation is one of the important research topics. The current solution for realistic facial animation is to create realistic rendered 3D characters, but the 3D characters created by traditional methods are always different from the actual characters and require high cost in terms of staff and time. Deepfake technology can achieve the effect of realistic faces and replicate facial animation. The facial details and animations are automatically done by the computer after the AI model is trained, and the AI model can be reused, thus reducing the human and time costs of realistic face animation. In addition, this study summarizes the way human face information is captured and proposes a new workflow for video to image conversion and demonstrates that the new work scheme can obtain higher quality images and exchange effects by evaluating the quality of No Reference Image Quality Assessment.

• The Research Journal of the Costume Culture
• /
• v.12 no.3
• /
• pp.441-454
• /
• 2004

This article aimed at semiotically analyzing and encoding the characteristics of Pop. Artistic style of a dress in the 2000's, and understanding social and cultural meaning to characteristics revealed at modern style of a dress. As research methods, Pop. Art factors were adjusted to non-individuality, openness, eroticism, parody through precedent research comparing and considering Pop. art, and 61 photos were selected, and they were analyzed into signifier and signified. It's analysis results are as follows. Non-individualistic image revealed modern style of a dress was intensively indicated at the pattern aspect of Pop. Art style of a dress, and any remarkable characteristics were not shown at the form aspect. Non-individuality was actively and progressively expressed due to the effect of the 2000's trends to pursue of frank desire, artistic and sensual life. For open image revealed at modern style of a dress, the characteristics were intensively highlighted at the details and accessories of style of a dress, and at the details and accessories of style of a dress, and at textile and pattern aspect, and notable signifier did not turn up. Pop. Artistic eroticism in the 2000's could be seen to unconditionally expose, or commercialize sex, but fashionably and gorgeously re-interpret it, which was found that the expression to women was changed in a free and emotionally-oriented way by the influence of feminism, expansion of feministic thought and optimism on New-millenium. At parody, simple and humorous parody rather than deep intended or heavy mattered one was seen, which means the effect of the 21st culture pursuing pleasure, fun and humor appeared as an positive parody phenomenon. It is found that the Pop. Art style of a dress in the 2000s shows up as a feministic, bright, cheerful Pop. Art in that it creates exaggerated harmony mixed with decorativeness ad functionalism, and pursue for frank desire and reflects optimistic trend of New Millenium seeking for fun and humor.

• The Journal of Korean Association of Computer Education
• /
• v.15 no.1
• /
• pp.55-64
• /
• 2012

The purpose of this study is to identify how realism of pedagogical agent can have impacts on persona effect and cognitive load factors. Eighty-two college students participated, and the independent variables of this study were the degree of image details and presence of gesture. The degree of image details were picture, illustration, and line-drawing. The $3{\times}2$ factorial design was applied. There was a significant interaction effect on the engaging of agent persona instrument. When the learners were under the condition of line-drawing agent without gesture, they showed the highest score on engaging of the agent persona instrument. Regarding the cognitive load factors, when learners under the condition of line-drawing showed the highest score of self-evaluation.

• Journal of Broadcast Engineering
• /
• v.13 no.5
• /
• pp.760-770
• /
• 2008

Though flash images are in general less noisy and present details better than no-flash images, they may sometimes be unnaturally saturated to white/gray-tone and have ridiculously strong shadows around the foreground objects due to the strong flashlight. In this paper, we propose a new algorithm to improve the color quality of the flash images by transfer of the color information of the same-scene no-flash images. The proposed algorithm preserves the vivid edges and the clean details of the flash image while transferring natural colors of the no-flash image, so that it makes the constructed images of the better subjective quality. The performance of the proposed algorithm is verified by experiment which applied to the two types of images with different noise levels.

• The Journal of the Korea Contents Association
• /
• v.7 no.2
• /
• pp.21-29
• /
• 2007

Anisotropic diffusion is one of the widely used techniques in the field of image segmentation. In the conventional anisotropic diffusion [1]-[6], usually 4-neighborhood directions are used: north, south, west and east, except the image diagonal directions, which results in the loss of image details and causes false contours. Existing methods for image segmentation using conventional anisotroplc diffusion can't preserve contour information, or noises with high gradients become more salient as the umber of times of the diffusion increases, resulting in over-segmentation when applied to watershed. In this paper, to overcome the shortcoming of the conventional anisotropic diffusion method, a new arusotropic diffusion method based on diagonal edges is proposed. And a method of watershed segmentation is applied to the proposed method. Experimental results show that the process time of the proposed method including diagonal edges over conventional methods can be up to 2 times faster and the Circle image quality improvement can be better up to $0.45{\sim}2.33(dB)$. Experiments also show that images are segmented very effectively without over segmentation.