Soonchul Kwon's research while affiliated with Kwangwoon University and other places
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Publications (47)
Recently, low-latency services for large-capacity data have been studied given the development of edge servers and wireless mesh networks. The 3D data provided for augmented reality (AR) services have a larger capacity than general 2D data. In the conventional WebAR method, a variety of data such as HTML, JavaScript, and service data are downloaded...
With the recent development of a digital rehabilitation system, research on the rehabilitation of amputees is accelerating. However, research on rehabilitation systems for patients with amputation of the lower extremities is insufficient. For the rehabilitation of amputees, it is important to maintain muscle mass through the improvement of muscle m...
![Figure 3. Facial muscles [52] (left), grouped from facial landmarks...](publication/363389565/figure/fig3/AS:11431281083644276@1662694904644/Facial-muscles-52-left-grouped-from-facial-landmarks-middle-and-indexes-and-muscle_Q320.jpg)
Treatment of facial palsy is essential because neglecting this disorder can lead to serious sequelae and further damage. For an objective evaluation and consistent rehabilitation training program of facial palsy patients, a clinician’s evaluation must be simultaneously performed alongside quantitative evaluation. Recent research has evaluated facia...
Blink rate, a major physiological response in humans, directly affects ocular diseases such as keratitis and dry eye. The blink rate in normal eyes appears at a constant frequency of 6-30 times per minute and is constant for each individual. In a previous study, the blink rate decreased when viewing content with high intensity and realism. Therefor...
Gaze is an excellent indicator and has utility in that it can express interest or intention and the condition of an object. Recent deep-learning methods are mainly appearance-based methods that estimate gaze based on a simple regression from entire face and eye images. However, sometimes, this method does not give satisfactory results for gaze esti...
When a near-eye display (NED) device reproduces an image at a location close to the eye, the virtual image is implemented at a large angle. The uniformity of the image is unbalanced due to the change in diffraction efficiency by the hologram recording angle and angular selectivity. This study proposes a method for implementing an optimal uniform im...
Digital pathology analysis using deep learning has been the subject of several studies. As with other medical data, pathological data are not easily obtained. Because deep learning-based image analysis requires large amounts of data, augmentation techniques are used to increase the size of pathological datasets. This study proposes a novel method f...
Conventional studies on digital hologram printer have mainly been conducted on image generation and reconstruction such as multi-view image generation method, computer-generated hologram (CGH) and a method of displaying a wave-front for a 3D object. However, There should be a criterion to evaluate the quality of the reconstructed image because holo...
To demonstrate that the near-point-of-convergence (npc) examination is performed subjectively, the visual fixation and four-prism diopter (Δ) base-out (BO) examinations can be conducted with a kiosk-type objective examination method based on gaze tracking, and can be compared with the existing method. Objective examination equipment was used to ver...
Transparent thin-film holographic optical elements (HOE) are suitable for implementing extended screens and depth cues for small form factor devices like near-eye displays (NED). Here, optimized data for a practical NED fabrication is presented based on the analysis of the uniformity, angle selectivity, and wavelength selectivity of an HOE reconstr...
Multi-object tracking is a significant field in computer vision since it provides essential information for video surveillance and analysis. Several different deep learning-based approaches have been developed to improve the performance of multi-object tracking by applying the most accurate and efficient combinations of object detection models and...
Recently, the development of 3D graphics technology has led to various technologies being combined with reality, where a new reality is defined or studied; they are typically named by combining the name of the technology with “reality”. Representative “reality” includes Augmented Reality, Virtual Reality, Mixed Reality, and eXtended Reality (XR). I...
The efficiency of the metal detection method using deep learning with data obtained from multiple magnetic impedance (MI) sensors was investigated. The MI sensor is a passive sensor that detects metal objects and magnetic field changes. However, when detecting a metal object, the amount of change in the magnetic field caused by the metal is small a...
Modern Pepper's ghost—“floating hologram”—systems generally use transparent screens called half mirrors or foils. this system must have the same screen size as the image size in order to display a large-sized image. Further, depth of the image can only be obtained from the distance between the screen and the display panel. These limitations can be...
Vergence and accommodation responses of human vision are very important factors when a 3D image is observed, and a vergence-accommodation conflict (VAC) causes perceptual distortion, visual discomfort, and fatigue for an observer. Theoretically, a hologram is expected to provide a 3D image without such a conflict. In this article, natural focusing...
Typically, commercially available Head-up display (HUD) systems use Pepper's ghost—"floating hologram"—systems. Our proposed system uses holographic optical element (HOE) to minimize the volume of conventional systems, provide high-depth and large-screen augmented images, and propose a method to measure that from a human factor perspective.
In this paper, we propose a detection method for salient objects whose eyes are focused on gaze tracking; this method does not require a device in a single image. A network was constructed using Neg-Region Attention (NRA), which predicts objects with a concentrated line of sight using deep learning techniques. The existing deep learning-based metho...
RGB-D cameras have been commercialized, and many applications using them have been proposed. In this paper, we propose a robust registration method of multiple RGB-D cameras. We use a human body tracking system provided by Azure Kinect SDK to estimate a coarse global registration between cameras. As this coarse global registration has some error, w...
As highly immersive virtual reality (VR) content, 360° video allows users to observe all viewpoints within the desired direction from the position where the video is recorded. In 360° video content, virtual objects are inserted into recorded real scenes to provide a higher sense of immersion. These techniques are called 3D composition. For a realis...
Image-based three-dimensional (3D) reconstruction is a process of extracting 3D information from an object or entire scene while using low-cost vision sensors. A structure-from-motion coupled with multi-view stereo (SFM-MVS) pipeline is a widely used technique that allows 3D reconstruction from a collection of unordered images. The SFM-MVS pipeline...
Floating holograms using holographic optical element screens differ from existing systems because they can float 2D images in the air and provide a sense of depth. Until now, the verification of such displays has been conducted only on the system implementation, and only the diffraction efficiency and angle of view of the hologram have been verifie...
The use of human gesturing to interact with devices such as computers or smartphones has presented several problems. This form of interaction relies on gesture interaction technology such as Leap Motion from Leap Motion, Inc, which enables humans to use hand gestures to interact with a computer. The technology has excellent hand detection performan...
Recently, the media of the signal transmission of pro-audio equipment has been changed from audio cable to LAN cable. As the transmission of audio signal by LAN cable solves the problem of the loss and noise caused by long distance transmission, various transmission technologies are emerging. Particularly, some technologies change the configuration...
Saccadic eye movementis an important ability in our daily life and is especially important in driving and sports. Traditionally, the Developmental Eye Movement (DEM) test and the King–Devick (K-D) test have been used to measure saccadic eye movement, but these only involve measurements with “adjusted time”. Therefore, a different approach is requir...
Vehicle detection is an important research area that provides background information for the diversity of unmanned-aerial-vehicle (UAV) applications. In this paper, we propose a vehicle-detection method using a convolutional-neural-network (CNN)-based object detector. We design our method, DRFBNet300, with a Deeper Receptive Field Block (DRFB) modu...
With the advancement of media and computing technologies, video compositing techniques have improved to a great extent. These techniques have been used not only in the entertainment industry but also in advertisement and new media. Match-moving is a cinematic technology in virtual-real image synthesis that allows the insertion of computer graphics...
In this paper, we propose a method for calculating the dynamic background region in a video and removing false positives in order to overcome the problems of false positives that occur due to the dynamic background and frame drop at slow speeds. Therefore, we need an efficient algorithm with a robust performance value including processing speed. Th...
The eye blink rate, a major human physiological response, directly affects ocular diseases, such as keratitis and dry eye syndrome. It has been shown that the eye blink rate in normal eyes has a certain frequency for individuals, from 6–30 times/min. It was suggested in a previous study that the eye blink rate can be decreased during the viewing of...
Recently, holographic display and computer-generated holograms calculated from real existing objects have been more actively investigated to support holographic video applications. In this paper, we proposed a method of generating 360-degree color holograms of real 3D objects in an efficient manner. 360-degree 3D images are generated using the actu...
Recent development in virtual and augmented reality increases the demand for content in many different fields. One of the fast ways to create content for VR is 3D modeling of real objects. In this paper we propose a system to reconstruct three-dimensional models of real objects from the set of two-dimensional images under the assumption that the su...
In order to reconstruct a 3D model in video sequences, to select key frames that are easy to estimate a geometric model is essential. This paper proposes a method to easily extract informative frames from a handheld video. The method combines selection criteria based on appropriate-baseline determination between frames, frame jumping for fast searc...
Thanks to mass production and provision of smartphones and the HMD (head mounted display), VR (virtual reality) is now being applied to various areas. The VR HMD is the interface equipment which allows users to have realistic experiences through human sensory organs such as vision and auditory sense. Since the majority of VR equipment is operated b...
Successful commercialization of holographic printers based on holographic stereograms requires a tool for their numerical replaying and quality assessment before the time-consuming and expensive process of holographic recording. A holographic stereogram encodes 2D images of a 3D scene that are incoherently captured from multiple perspectives and re...
Citations
... The Metaverse is a method of replacing the internet, and future market growth is predicted to be exponential. [3] ...
![[object Object]](https://i1.rgstatic.net/ii/profile.image/11431281096931187-1668387335259_Q64/Leehwan-Hwang.jpg)
![[object Object]](https://i1.rgstatic.net/ii/profile.image/273828353933312-1442297175328_Q64/Seunghyun-Lee-33.jpg)
... Another potential research direction is to bring the properties of bird-bath optics used in the original Beaming Displays [38] into the HOE design space. In such a case, we could explore embedding properties of a diffuser with a lens in HOE designs [36,75,76]. ...
Reference: HoloBeam: Paper-Thin Near-Eye Displays
![[object Object]](https://i1.rgstatic.net/ii/profile.image/11431281118888556-1675925292723_Q64/Philippe-Gentet.jpg)
... Of course, apart from the mentioned approaches, there are plenty of others, which are normally used for medical image segmentation, including edge detectors, outlining image boarders, the methods for consecutive regions forming, such as region growing, or splitting methods, watershed or wavelet transformation, and others [51][52][53]. Of course, in recent times, one of the most popular segmentation methods deals with various applications of machine and deep learning, enabling semantic segmenta-tion instead of the segmentation without interpretation as it is typical in many conventional approaches [54][55][56][57][58][59][60][61][62][63][64][65][66][67][68]. ...
... The nonlinear absorption coefficient (β of~10 −1 cm/GW) of those 98% deuterated DKDP crystals was obtained using the Z-scan technique with the fourth harmonic generated wavelength (266 nm) of picosecond Nd:YAG laser pulses. Hwang et al. [9] have studied the likely polarization changes and analysed the optimum polarization matching status using values from their hologram results. Further, they used them as a study to progress the efficiency of a hologram resulting from a ...
... Accurately estimating gaze direction plays a major role in applications, such as the analysis of visual attention, research on consumer behavior, augmented reality (AR), and virtual reality (VR). Because inference results are more improved by using deep-learning models than other approaches, they can be applied to advanced technologies, such as autonomous driving [1] and smart glasses [2], and can overcome challenges in the medical field [3]. Using these deep-learning models is quite helpful, but it is difficult to train them due to lighting conditions and insufficient and poor-quality datasets. ...
... In the detection head, object localisations are consolidated from separate forward passes of each PANet layer output. Inspired by [29], the reID head performs sequential upscaling and fusion of PANet outputs with deformable convolutions (DCN) [30] as described by (1). Like [25], the size of the network can be scaled by multiplying the number of layers and their feature channels according to fixed constants, achieving models of varying sizes, ranging from YOLOX-S to YOLOX-X. ...
... The accuracy of the tracking solution provided by the API was analysed in depth by [30], where the authors observed a standard deviation of up to 0.73 cm but also observed a high dependency on the environment's visual features and lighting conditions. Although a consistent test environment was not used, it was possible to observe measurements of objects with a known size as exemplified in Figure 3 (right) by measuring a 20 cm ruler with an accuracy of 1 cm, with the device positioned 40 cm away from the object. ...
... Previous studies have found that social support and satisfaction with leisure activities influence depression in older adults [14]. The recent COVID-19 pandemic situation has brought about many limitations to the lives of older adults [15]. In such a changed environment, older adults who have a basic awareness of or education in technology can limit social interactions in their daily lives using the Internet or smartphones [15]. ...
... Fusion of mmWave radar and vision data has already helped create accurate and effective object de-tection systems for autonomous driving applications [6]. The comparison in performance of Convolutional and Recurrent Neural Networks (CNNs and RNNs) for metal detection using magnetic impedance sensors has been extensively evaluated in [7]. Their system is compact, however they need to scan the complete scene, and restrict themselves to large metal sheets that are visible in the Line-of-Sight (LOS) of their sensor. ...
... An HMD that included a head tracker was selected for the ground truth experiment, which showed high accuracy in terms of camera trajectory because the head tracker performed the function of tracking the display device. It has been used in several studies due to its high accuracy within the sensor range [25][26][27]. ...
