Bio: Seungkyu Lee is an academic researcher from Kyung Hee University. The author has contributed to research in topics: Liquid-crystal display & Pixel. The author has an hindex of 24, co-authored 219 publications receiving 2662 citations. Previous affiliations of Seungkyu Lee include Samsung & Pennsylvania State University.
Papers published on a yearly basis
•11 Apr 2011
TL;DR: A liquid crystal display device and a method of manufacturing the same can be found in this article, where a plurality of pixel cells on a substrate and a common voltage line are used.
Abstract: A liquid crystal display device and a method of manufacturing the same. The liquid crystal display device includes a plurality of pixel cells on a substrate and a common voltage line. The common voltage line provides a common voltage to the pixel cells, and includes first to third s interconnection patterns which are sequentially stacked over the substrate. Each of the pixel cells includes a storage capacitor which includes a lower electrode, and an upper electrode over the lower electrode. The second interconnection pattern includes the same material as a material of the upper electrode, and is formed in the same process as a process of the upper electrode.
•07 Nov 2012
TL;DR: This work is a technical introduction to TOF sensors, from architectural and design issues, to selected image processing and computer vision methods.
Abstract: Time-of-flight (TOF) cameras provide a depth value at each pixel, from which the 3D structure of the scene can be estimated. This new type of active sensor makes it possible to go beyond traditional 2D image processing, directly to depth-based and 3D scene processing. Many computer vision and graphics applications can benefit from TOF data, including 3D reconstruction, activity and gesture recognition, motion capture and face detection. It is already possible to use multiple TOF cameras, in order to increase the scene coverage, and to combine the depth data with images from several colour cameras. Mixed TOF and colour systems can be used for computational photography, including full 3D scene modelling, as well as for illumination and depth-of-field manipulations. This work is a technical introduction to TOF sensors, from architectural and design issues, to selected image processing and computer vision methods.
•25 May 2011
TL;DR: In this paper, a liquid crystal display with an integrated touch screen panel is described, where conductive patterns or conducting patterns provided to the LCD are used as driving electrodes of the touch screen.
Abstract: A liquid crystal display with an integrated touch screen panel is disclosed. According to some aspects, conductive patterns or conducting patterns provided to the LCD are used as driving electrodes of the touch screen panel. A driving electrode of the touch screen panel may be formed on one surface of a polarizing plate or window attached to the LCD so as to be positioned close to a contact point, thereby improving touch sensitivity.
••17 Jun 2007
TL;DR: A novel, spatiotemporal shape variation-based frieze pattern (SVB friezes pattern) representation for gait, which captures motion information over time, and demonstrates superior performance of this computational framework over previous algorithms using shape cues alone on both CMU MoBo and UoS HumanID gait databases.
Abstract: Gait is an attractive biometric for vision-based human identification. Previous work on existing public data sets has shown that shape cues yield improved recognition rates compared to pure motion cues. However, shape cues are fragile to gross appearance variations of an individual, for example, walking while carrying a ball or a backpack. We introduce a novel, spatiotemporal shape variation-based frieze pattern (SVB frieze pattern) representation for gait, which captures motion information over time. The SVB frieze pattern represents normalized frame difference over gait cycles. Rows/columns of the vertical/horizontal SVB frieze pattern contain motion variation information augmented by key frame information with body shape. A temporal symmetry map of gait patterns is also constructed and combined with vertical/horizontal SVB frieze patterns for measuring the dissimilarity between gait sequences. Experimental results show that our algorithm improves gait recognition performance on sequences with and without gross differences in silhouette shape. We demonstrate superior performance of this computational framework over previous algorithms using shape cues alone on both CMU MoBo and UoS HumanID gait databases.
••23 Jun 2008
TL;DR: The results indicate that even after several decades of effort, symmetry detection in real-world images remains a challenging, unsolved problem in computer vision.
Abstract: Symmetry is one of the important cues for human and machine perception of the world. For over three decades, automatic symmetry detection from images/patterns has been a standing topic in computer vision. We present a timely, systematic, and quantitative performance evaluation of three state of the art discrete symmetry detection algorithms. This evaluation scheme includes a set of carefully chosen synthetic and real images presenting justified, unambiguous single or multiple dominant symmetries, and a pair of well-defined success rates for validation. We make our 176 test images with associated hand-labeled ground truth publicly available with this paper. In addition, we explore the potential contribution of symmetry detection for object recognition by testing the symmetry detection algorithm on three publicly available object recognition image sets (PASCAL VOC'07, MSRC and Caltech-256). Our results indicate that even after several decades of effort, symmetry detection in real-world images remains a challenging, unsolved problem in computer vision. Meanwhile, we illustrate its future potential in object recognition.
01 Jan 2004
TL;DR: Comprehensive and up-to-date, this book includes essential topics that either reflect practical significance or are of theoretical importance and describes numerous important application areas such as image based rendering and digital libraries.
Abstract: From the Publisher: The accessible presentation of this book gives both a general view of the entire computer vision enterprise and also offers sufficient detail to be able to build useful applications. Users learn techniques that have proven to be useful by first-hand experience and a wide range of mathematical methods. A CD-ROM with every copy of the text contains source code for programming practice, color images, and illustrative movies. Comprehensive and up-to-date, this book includes essential topics that either reflect practical significance or are of theoretical importance. Topics are discussed in substantial and increasing depth. Application surveys describe numerous important application areas such as image based rendering and digital libraries. Many important algorithms broken down and illustrated in pseudo code. Appropriate for use by engineers as a comprehensive reference to the computer vision enterprise.
01 Jan 2006
01 Aug 2008
TL;DR: In this article, the oxide semiconductor film has at least a crystallized region in a channel region, which is defined as a region of interest (ROI) for a semiconductor device.
Abstract: An object is to provide a semiconductor device of which a manufacturing process is not complicated and by which cost can be suppressed, by forming a thin film transistor using an oxide semiconductor film typified by zinc oxide, and a manufacturing method thereof. For the semiconductor device, a gate electrode is formed over a substrate; a gate insulating film is formed covering the gate electrode; an oxide semiconductor film is formed over the gate insulating film; and a first conductive film and a second conductive film are formed over the oxide semiconductor film. The oxide semiconductor film has at least a crystallized region in a channel region.
TL;DR: An overview of the current state of the art of pedestrian detection from both methodological and experimental perspectives is provided and a clear advantage of HOG/linSVM at higher image resolutions and lower processing speeds is indicated.
Abstract: Pedestrian detection is a rapidly evolving area in computer vision with key applications in intelligent vehicles, surveillance, and advanced robotics. The objective of this paper is to provide an overview of the current state of the art from both methodological and experimental perspectives. The first part of the paper consists of a survey. We cover the main components of a pedestrian detection system and the underlying models. The second (and larger) part of the paper contains a corresponding experimental study. We consider a diverse set of state-of-the-art systems: wavelet-based AdaBoost cascade, HOG/linSVM, NN/LRF, and combined shape-texture detection. Experiments are performed on an extensive data set captured onboard a vehicle driving through urban environment. The data set includes many thousands of training samples as well as a 27-minute test sequence involving more than 20,000 images with annotated pedestrian locations. We consider a generic evaluation setting and one specific to pedestrian detection onboard a vehicle. Results indicate a clear advantage of HOG/linSVM at higher image resolutions and lower processing speeds, and a superiority of the wavelet-based AdaBoost cascade approach at lower image resolutions and (near) real-time processing speeds. The data set (8.5 GB) is made public for benchmarking purposes.