• Journal of the Korea Computer Graphics Society
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• v.13 no.3
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• pp.1-6
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• 2007

Anticipation effect has been used as a traditional skill to enhance the dynamic motion of the traditional 2D animation. Basically, anticipation means the action of opposite direction which performs before the real action step. In this paper, we propose the perception-based video anticipation method to guide a user's visual attention to the important region. Using the image based attention map, we calculate the visual attention region and then combine this map with temporal saliency of video. We apply the anticipation effect in these saliency regions using the blur kernel. Using our method, we can generate the dynamic video motion which has attentive guidance.

• Smart Media Journal
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• v.3 no.3
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• pp.26-35
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• 2014

The statistical graphics is a design field focusing on the user perception aspects for the correct information delivery and the effective understanding, with the use of the quantitative data through the information analysis, extraction, visualization process. The statistical graphics with the big data composition factor is termed as the statistical big data graphics. In the statistical graphics the visual factors are used to reduce the errors in the perception part and to successfully deliver the information. However, in the statistical big data graphics the visual factors of the enormous data are causing the cognitive discouragements. The purpose of this study is to extract the cognitive discouragement factors from the big data statistical graphics, categorizing the types of the statistical big data graphics as 'network type', 'segment type', and 'mixed type', based on their compositional shapes, and explored the characteristics according to them. Especially, based on the visual main factors in the statistical big data graphics, We extracted the cognitive discouragement factors that appear in the high visualization as the four categories: 'multi-dimensional cases', 'various color', 'information overlap', and 'legibility of the writing'.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.9 no.4
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• pp.129-138
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• 2009

Character graphic design of TV screen, the major visual element, has become greatly important in its roles to help viewers understand visual information better and to enhance the qualities of the program. This research is to figure our a way of changing and improving the attributes of TV captions and graphics such as fonts, size, and caption speed appropriate to bigger and better qualified TV screen. Based on two Delphi surveys of graphics experts along with the theoretical studies, this article analyzes the relevance of visual perception to various visual elements of TV screen, and proposes a better plan in visual effects for various media under OSMU (One Source Multi Use).

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.188-191
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• 2002

This paper concerns 3-D graphical modeling and simulation techniques for design and control of automated equipment for construction and facility maintenance. A case study on the use of 3-D graphics techniques for developing a power plant maintenance robot is presented. By simulating equipment operation within the 3-D geometry models of the work environment the environment design was improved. The 3-D graphical models of the equipment and the work environment were further utilized for the control of the robot from a remote distance. By presenting the real-time updated equipment configuration and the work environment to the operator, the graphical model-based equipment control system helped the operator overcome the problems associated with spatial perception. The collision between the robot and the plant structures was also avoided based the real-time analysis of the dynamically updated graphical models.

• Journal of the Korea Computer Graphics Society
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• v.11 no.4
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• pp.28-33
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• 2005

군중 장면의 실시간 처리를 위해서는 기하 처리 부분 뿐만 아니라 모션 처리 부분까지 다단계 표현 기법 연구가 필요하다. 우리는 모션 처리 부분에서 사용되는 운동학 연산 간소화를 위해, 선택적 주의와 최적화 기법을 통한 모션 다단계 기법을 제안한다. 선택적 주의 기법으로 잘 알려진 가우시안 거리 기법을 응용하여, 우리는 한 모션에서 각 관절의 중요도를 수치화할 수 있다. 또한 운동학 연산에서 제외된 관절에 의해 손상된 각 단계의 모션에 대하여, 비선형 최적화 기법을 통해 최대한 손상을 막은 모션으로 수정할 수 있다. 우리는 제안한 다단계 표현 기법을 통해 표현된 모션의 어색한 정도를 설문조사를 통해 객관적으로 검토하였고, 피실험 자들이 관절각이 어느 정도 적은 상태를 유지하는 모션에 대해서는 다단계 표현 기법을 통한 군중 장면과 원본 군중 장면의 차이점을 파악하지 못했음을 발견하였다. 또한 제안한 기법을 사용하여 군중 장면을 렌더링하면 전체 처리 시간이 약 16% 정도, 운동한 연산 시간이 약 70% 절감됨을 알 수 있었다.

• The Journal of the Korea Contents Association
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• v.11 no.6
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• pp.106-115
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• 2011

In this paper, we evaluate the effectiveness of previous shading algorithms in depicting shape of 3d objects. We perform a study in which people are shown an image of one of ten 3D objects shaded with one of eight styles and asked to orient a gauge to coincide with the surface normal at many positions on the object's surface. The normal estimates are compared with each other and with ground truth data provided by a registered 3D surface model to analyze accuracy and precision. Our experiments suggest that people interpret certain shape differently depending on shading of 3d object. This paper offers substantial evidence that current computer graphics shading algorithms can effectively depict shape of 3d objects where the algorithms have the properties of lots of tone steps and uniformly distributed tone steps. This type of analysis can guide the future development of new CG shading algorithms in computer graphics for the purpose of shape perception.

• Journal of the Korea Computer Graphics Society
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• v.26 no.2
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• pp.1-9
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• 2020

In this paper, we propose haptic interfaces based on force feedback to provide a physical painting experience to virtual reality users. Through this system, the user can create surface-based painting holding a haptic stylus, while utilizing both visual feedback from the worn HMD and haptic feedback during painting. In particular, the haptic interfaces simulate the physical interaction between painting brush and painting, which can help to improve the spatial perception of users and compensate for visual feedback. This can reduce laborious drawing works to repeatedly paint strokes and therefore yield a better painting performance. As a result, users can experience more effective and realistic VR painting with this system.

• Journal of the Korea Computer Graphics Society
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• v.14 no.2
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• pp.1-8
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• 2008

This paper presents a design of a situation training system supporting mixed-reality for the developmental disabled. The training scenario is developed for the disabled to improve the sense of sight and perception. The user sticks a virtual pin into a hole in the working board according to the direction and the appropriate feedback is delivered based on the FSM(Finite State Machine). In order to improve the reality and the training effect, the user's hand is inserted in the virtual training environments and the tactile sensation is provided using the haptic device.

• Journal of Information Processing Systems
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• v.14 no.6
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• pp.1445-1456
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• 2018

Environment perception and three-dimensional (3D) reconstruction tasks are used to provide unmanned ground vehicle (UGV) with driving awareness interfaces. The speed of obstacle segmentation and surrounding terrain reconstruction crucially influences decision making in UGVs. To increase the processing speed of environment information analysis, we develop a CPU-GPU hybrid system of automatic environment perception and 3D terrain reconstruction based on the integration of multiple sensors. The system consists of three functional modules, namely, multi-sensor data collection and pre-processing, environment perception, and 3D reconstruction. To integrate individual datasets collected from different sensors, the pre-processing function registers the sensed LiDAR (light detection and ranging) point clouds, video sequences, and motion information into a global terrain model after filtering redundant and noise data according to the redundancy removal principle. In the environment perception module, the registered discrete points are clustered into ground surface and individual objects by using a ground segmentation method and a connected component labeling algorithm. The estimated ground surface and non-ground objects indicate the terrain to be traversed and obstacles in the environment, thus creating driving awareness. The 3D reconstruction module calibrates the projection matrix between the mounted LiDAR and cameras to map the local point clouds onto the captured video images. Texture meshes and color particle models are used to reconstruct the ground surface and objects of the 3D terrain model, respectively. To accelerate the proposed system, we apply the GPU parallel computation method to implement the applied computer graphics and image processing algorithms in parallel.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.01a
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• pp.695-698
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• 2009

Three-dimensional (3D) shape recognition and distance recognition methods utilizing monocular camera systems have been required for field of virtual-reality, computer graphics, measurement technology and robot technology. There have been many studies regarding 3D shape and distance recognition based on geometric and optical information, and it is now possible to accurately measure the geometric information of an object at short range distances. However, these methods cannot currently be applied to long range objects. In the field of virtual-reality, all visual objects must be presented at widely varying ranges, even though some objects will be hazed over. In order to achieve distance recognition from a landscape image, we focused on the use of aerial perspective to simulate a type of depth perception and investigated the relationship between distance and color perception. The applicability of our proposed method was demonstrated in experimental results.