SUNGMIN KIM - Academia.edu (original) (raw)

Papers by SUNGMIN KIM

Neurosurgery, 2010

The biplane fluoroscopy guided robot system (BFRS) was developed for surgical robotic systems, mi... more The biplane fluoroscopy guided robot system (BFRS) was developed for surgical robotic systems, minimally invasive surgeries, and cooperative robotic systems, as well as enhanced surgical planning and navigation with preoperative and intraoperative image data. To propose a novel surgical robot system for percutaneous pedicle screw insertion. The BFRS consists of an O-shaped biplane fluoroscope (O-arm), a surgical planning and operating system, and an assistive robot. Each part of the BFRS has a role in conducting percutaneous pedicle screw placements. To evaluate BFRS accuracy, each part was analyzed, and to assess the safety and feasibility of percutaneous pedicle screw insertions with the BFRS, cadaveric studies involving 14 levels in the thoracic and lumbar spine regions were conducted on 2 cadavers. Errors in each part of the system and within the entire system were evaluated. The accuracy of generating coordinates using O-arm images was 0.30±0.15 mm. The robot demonstrated a duplication value of 4.97 μm RMS and an accuracy of 0.358 mm RMS. Total system error was 1.38±0.21 mm. The results of the cadaveric studies show that inserted pedicular screws were adequately located within the spine with no unexpected malpositioning of the screws. The axial angle difference between planned and postoperative data was 2.45±2.56°, and the sagittal angle difference was 0.71±1.21°. The BFRS might be helpful in improving the accuracy of percutaneous pedicular screw insertion procedures. In the future, we will attempt to improve the accuracy and reliability of the BFRS and to determine new clinical applications for the BFRS.

IEEE Transactions on Biomedical Engineering, 2011

Fibers and Polymers, 2006

An integrated platform for garment drape simulation system has been developed. In this system, ga... more An integrated platform for garment drape simulation system has been developed. In this system, garment patterns from conventional two-dimensional CAD systems can be assembled into a three-dimensional garment on a parametrically resizable realistic human body model. A fast and robust particle-based physical calculation engine has been developed for garment shape generation. Then a series of geometric and graphical techniques were applied to create realistic impressions on simulated garments. This system can be used as the rapid prototyping tool for garments in the future quick-response system.

Fibers and Polymers, 2006

A study has been made on the quantification and evaluation of fabric pilling using two-dimensiona... more A study has been made on the quantification and evaluation of fabric pilling using two-dimensional and three-dimensional hybrid imaging methods. Two-dimensional imaging method was good for some samples while three-dimensional measurement method for others, according to the properties of their base fabric. Various image processing techniques as well as three-dimensional data processing algorithms were applied for the extraction of pills from measured data and a series of shape parameters have been defined for the objective evaluation of fabric pilling. An evaluation criterion that is compatible with the conventional evaluation method has been proposed by applying the new evaluation method to the current photographic standards.

International Journal of Pattern Recognition and Artificial Intelligence, 2007

This paper presents a full-body gesture database which contains 2D video data and 3D motion data ... more This paper presents a full-body gesture database which contains 2D video data and 3D motion data of 14 normal gestures, 10 abnormal gestures and 30 command gestures for 20 subjects. We call this database the Korea University Gesture (KUG) database. Using 3D ...

International Conference on Pattern Recognition, 2006

In this paper, we propose a method for human tracking using 3D human body model in a video sequen... more In this paper, we propose a method for human tracking using 3D human body model in a video sequence with a monocular moving camera. Tracking a human with unconstrained movement in moving monocular camera image sequence is extremely challenging. Our 3D human body model which is formed with articulation model of hierarchical tree structure can express all human's movement by parameters. We can obtain 3D human body model which has the most similar shape with input image through similarity matching. In order to predict the region and movement of human using 3D human body model in the obtained current frame, we use the particle filter which predicts the posterior distribution by the random probability variable based on Monte Carlo sampling. As a result, it can be possible to track robustly for human's motion and random movement of camera in the environment with moving camera. We can get the result of converging toward minimized error values using boundary distance between a predicted 3D human body model and an input image. In the result of experiment, the proposed method showed correct tracking result for complex background and various human movements

Fibers and Polymers, 2004

A parametric body model generation system has been developed. Using various mathematic and geomet... more A parametric body model generation system has been developed. Using various mathematic and geometric algorithms of this system, a three-dimensionally scanned human body can be converted into a resizable body model. Once a parametric body model is formed, its size and shape can be modified instantaneously by providing appropriate anthropometric data. To facilitate the subsequent pattern arrangement process for garment drape simulation, a bounding box generation algorithm has been developed in this study. Also the model can be converted into a set of parametric surfaces that it can also be used for three-dimensional garment pattern design system.

International Journal of Clothing Science and Technology, 2007

Design/methodology/approach The geometry of a garment is divided into fit zone and fashion zone... more Design/methodology/approach The geometry of a garment is divided into fit zone and fashion zone. The geometry of fit zone is prepared from 3D body scan data and can be resized parametrically. The fashion zone is modeled using various parameters characterizing the ...

Abstract: The goal of this work is to develop and test a robot-assisted surgery system for spinal... more Abstract: The goal of this work is to develop and test a robot-assisted surgery system for spinal fusion. The system is composed of a robot, a surgical planning system, and a navigation system. It plays the role of assisting surgeons for inserting a pedicle screw in the spinal ...

18th International Conference on Pattern Recognition (ICPR'06), 2006

7th International Conference on Automatic Face and Gesture Recognition (FGR06), 2006

International Journal of Clothing Science and Technology, 2010

Purpose – The purpose of this paper is to illustrate the generation of basic garment pattern usin... more Purpose – The purpose of this paper is to illustrate the generation of basic garment pattern using three-dimensional body measurement data. Design/methodology/approach – A pre-defined garment model is deformed using free-form deformation method and the model is flattened to generate flat patterns. Findings – The paper finds that individual basic garment patterns are automatically generated and verified to be well fit on human subjects. Research limitations/implications – The current approach is to focus on the generation of basic bodice patterns; however, other patterns can also be generated by this method by preparing more garment models. Practical implications – This method can reduce the time required to design basic patterns as well as enhance their fitness. Originality/value – The automatic generation of individually fitted garment pattern is one of the most important steps in future garment production process.