• International journal of advanced smart convergence
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• v.10 no.3
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• pp.157-162
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• 2021

With the recent increase in YouTube content, many YouTubers are shooting with a handheld camera. Audiences are increasingly accustomed to the movement of handheld cameras. As the camera moves faster than the camera movement of the old movies, and the camera moves splendidly to the music of the music video, the camera movement in CG animation is also needed to change. The handheld Steadicam creates a natural camera movement by compensating so that the screen does not vibrate significantly even when the vibration is large and by minimizing rotation. In order to implement such camera movement, we tried to make a handheld Steadicam using nParticle simulation of Maya software and apply it to the scene to verify whether it is possible to implement the necessary natural and various movement.

• Trans-
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• v.6
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• pp.79-95
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• 2019

The advent of the handheld camera has dramatically transformed film production and consumption in countless ways. French director and theorist, Alexandre Astruc focuses on the development of 16mm camera and foretell film will be used as a tool to realize the personal vision of the author like other art. As proof of his claim French New Wave and Cinéma vérité create the film with handheld camera on the real location to capture new reality. Their films are distinguished itself from other films made by conventional Hollywood studios. Similarly, John Cassavetes in the United States began to focus on the handheld camera. Since then the handheld camera has become one of the popular shooting methods. Especially, handheld camera are noted for their agile movement and mobility as a way to capture various realities. However, with the advances in technology, lighter cameras and higher resolution have changed in different ways. The technology is neutral, one shooting method does not serve for one philosophy or ism. At one time, handheld shooting is now used as not only a means to capture the real world but also a tool to mimic a realistic feeling.

• Journal of Korea Multimedia Society
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• v.20 no.11
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• pp.1820-1827
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• 2017

With the development of 3D technology, image expression has been widely used in the field of 3D animation these days for the purpose of illustrating a certain image, feeling or status. In this paper, we examine how it affects to audiences' feelings and senses when we applied the handheld camera technique to other kinetic characteristics. In addition, we analyze the scenes which the handheld camera technique is applied into each characteristic from movie contents, present the kinetic characteristics of the handheld camera technique, and study the scenes that can apply this technique with 3D animation and its influence.

• IEIE Transactions on Smart Processing and Computing
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• v.1 no.2
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• pp.78-87
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• 2012

In this paper, we address the tracking problem caused by camera motion and rolling shutter effects associated with CMOS sensors in consumer handheld cameras, such as mobile cameras, digital cameras, and digital camcorders. A modified particle filtering method is proposed for simultaneously tracking objects and compensating for the effects of camera motion. The proposed method uses an elastic registration algorithm (ER) that considers the global affine motion as well as the brightness and contrast between images, assuming that camera motion results in an affine transform of the image between two successive frames. By assuming that the camera motion is modeled globally by an affine transform, only the global affine model instead of the local model was considered. Only the brightness parameter was used in intensity variation. The contrast parameters used in the original ER algorithm were ignored because the change in illumination is small enough between temporally adjacent frames. The proposed particle filtering consists of the following four steps: (i) prediction step, (ii) compensating prediction state error based on camera motion estimation, (iii) update step and (iv) re-sampling step. A larger number of particles are needed when camera motion generates a prediction state error of an object at the prediction step. The proposed method robustly tracks the object of interest by compensating for the prediction state error using the affine motion model estimated from ER. Experimental results show that the proposed method outperforms the conventional particle filter, and can track moving objects robustly in consumer handheld imaging devices.

• ETRI Journal
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• v.38 no.4
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• pp.776-786
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• 2016

The fairly recent standard of equipping mobile devices with advanced imaging sensors has opened the possibility of conveniently diagnosing skin conditions, anywhere, anytime. For this application, we attempted to estimate skin conditions from a skin image taken by a mobile handheld camera. To estimate the skin conditions, we specifically identified three skin features (pigmentation, pores, and roughness) that can be measured quantitatively from a skin image. The experimental data indicate that the existing thresholding methods are inappropriate for extracting the pigmentation and pore skin features. Thus, we propose a new line-fitting based thresholding method for skin feature detection. We thoroughly evaluated our proposed skin condition estimation method using our skin image database. The experimental results show that our proposed thresholding method can better determine the threshold leading to the most visually plausible detection, when compared to existing methods. We also confirmed that skin conditions can be feasibly estimated using a common mobile handheld camera (for example, a smartphone).

• IEMEK Journal of Embedded Systems and Applications
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• v.5 no.4
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• pp.195-205
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• 2010

The popularity of Smartphones makes new fields of applications based on location based service easily feasible with a new user interface called augmented reality (AR). It presents a particularly powerful user interface to context-aware computing environments. AR on Smartphones integrates virtual information into a person's physical environment by overlaying information on an image taken through Smartphone's camera and motion sensors. Mobile augmented reality systems provide this service without constraining the individual's whereabouts to a specially equipped area. This work presents an overview of handheld augmented reality focusing on applications with introducing the basic issues of them. For this purpose, an example system, Studierstube ES (embedded system), is cited, which introduces the most significant problems and various methods of solving them through the experience of converting existing PC-based AR system into handheld AR.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.05a
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• pp.848-849
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• 2012

In this paper, we developed a reverse parking guidance system with the path prediction methods which help the safe operation of driver when reversing, with rear camera display, and the expected path on navigation and handheld devices. This system can be applied to various types of vehicles, a variety of characteristics and installation of rear-view camera and navigation support systems, or portable devices are compatible and easily detachable, can be configured easily.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.01a
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• pp.628-631
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• 2009

In this paper, we proposed a new authentication method using video that was taken during moving a hand-held camera in front of the face. The proposed method extracted individuality from the obtained image sequences using the parametric eigenspace scheme. Changes of facial appearance through authentication trials draw continuous tracks in the low dimensional igenspace. The similarity between their continuous tracks are calculated by DP-matching to verify their identities. Experimental results confirmed that different motions and persons change the shapes of continuous tracks, so the proposed method could identify the person.

• Journal of the Optical Society of Korea
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• v.15 no.1
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• pp.74-77
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• 2011

We report a novel extension of 840 nm wavelength- based spectral domain optical tomography to in vivo/real-time human middle ear diagnosis. The system was designed to access the middle ear region with a specifically dedicated handheld probe. The real-time displaying feature was mandatory for in vivo imaging human subject with the handheld probe, and the system could provide about 20 frames per second for 2048 pixels by 1000 A-scans without using any graphics process units under the Labview platform. The inner ear structure of a healthy male volunteer was imaged with the developed system with the axial and lateral resolutions of $15\;{\mu}m$ and $30\;{\mu}m$, respectively. The application of the OCT technology to early diagnose otitis media(OM) is very promising and could be another extensive branch in the OCT field because it provides the depth resolved image including tympanic membrane (TM) and structures below TM whereas the conventional otoscope technique only gives asurface image of the TM.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.12
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• pp.3035-3041
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• 2014

The steadicam effects is widely used in production of the 3D animation for natural camera movement. Conventional method for steadicam effects is using keyframe animation technique, which is annoying and time consuming process. Furthermore it is difficult and unnatural to simulate camera movement in real world. In this paper we propose a novel method for representing steadicam effects on virtual camera of 3D animation. We modeled a camera of real world into Maya production tools, considering gravity, mass and elasticity. The model is implemented with Python language, which is directly applied to Maya platform as a filter module. The proposed method reduces production time and improves production environment. It also makes more natural and realistic footage to maximize visual effects.