• Journal of Internet Computing and Services
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• v.22 no.3
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• pp.37-43
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• 2021

In this paper, we study how objects from front and back cameras can be recognized in real time in a mobile environment to segment regions of object pixels and synthesize them through image processing. To this work, we applied DeepLabV3 machine learning model to dual cameras provided by Apple's iOS. We also propose methods using Core Image and Core Graphics libraries from Apple for image synthesis and postprocessing. Furthermore, we improved CPU usage than previous works and compared the throughput rates and results of Depth and DeepLabV3. Finally, We also developed a camera application using these two methods.

• Proceedings of the IEEK Conference
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• 2000.06d
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• pp.218-221
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• 2000

In this paper, we propose a new algorithm to detect human faces for controling a camera used in video conference. We model the distribution of skin color and set up the standard skin color in YIQ color space. An input video frame image is segmented into skin and non-skin segments by comparing the standard skin color and each pixels in the input video frame. Then, shape filler is applied to select face segments from skin segments. Our algorithm detects human faces in real time to control a camera to capture a human face with a proper size and position.

• 한국정보디스플레이학회:학술대회논문집
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• 2006.08a
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• pp.583-587
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• 2006

A series of images were displayed on an OLED display placed within a digital still camera body to characterize the aging of the OLED display in a realistic environment and with an image set that matches actual consumer usage as closely as possible. The aging characteristics of the OLED display were measured and shown to meet the requirements of a digital still camera application by a wide margin.

• Proceedings of the IEEK Conference
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• 2008.06a
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• pp.1173-1174
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• 2008

In this paper, we propose a front-mounted single camera based depth estimation and robot localization method. The advantage of front-mounted camera is reduction of redundancy when the robot move. The robot computes depth information of captured image, moving around. And the robot location is corrected by depth information.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.131.2-131
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• 2001

This paper's purpose i to obtain tracking information of an object using a camera. This system embodies to know tracking information of an object using Kalman filtering. As we use java program, it is possible to make system regardless of operating system, set up the system. We used an comfortable USB port camera everywhere without the capture board. We can use the internet by using the applet and JMF everywhere. We regard the camera as fixed.

• Proceedings of the IEEK Conference
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• 2003.11a
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• pp.195-198
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• 2003

Camera calibration is the method of finding the relationship between world coordinates and image coordinates with respect to camera coordinate. It is represented by PPM(Perspective Projection Mateix) compactly. And the PPM is effected by positions, intervals and distribution of control points. This paper presents to the relationship between PPMs and control points by experiment.

• International Journal of Control, Automation, and Systems
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• v.1 no.4
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• pp.511-514
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• 2003

The Infrared Camera usually detects only Infrared waves emitted from the light in order to illustrate the temperature distribution. An Infrared diagnosis system can be applied to various fields. But the defect discrimination can be automatic or mechanized in the special shoes total inspection system. This study introduces a method for special shoes nondestructive total inspection. Performance of the proposed method is shown through thermo-Image.

• Proceedings of the IEEK Conference
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• 2003.07e
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• pp.1944-1947
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• 2003

In this paper, we propose a dynamic-based compression system by creating mosaic background and transmitting the change information. A dynamic mosaic of the background is progressively integrated in a single image using the camera motion information. For the camera motion estimation, we calculate affine motion parameters for each frame sequentially with respect to its previous frame. The camera motion is robustly estimated on the background by discriminating between background and foreground regions. The modified block-based motion estimation is used to separate the back-ground region.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.37 no.4
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• pp.399-405
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• 2009

The focal plane image stabilization for a satellite camera is one of the an effective method which can increase the satellite camera's image quality by removing the motion disturbance of a focal plane. The objectives of this article are to introduce the concept of the focal plane image stabilization and determine the best driving conditions of the actuator for the response and thrust. Under various driving condition the experiments have been performed to investigate the response and thrust characteristics of the piezoelectric driven stick-slip actuator of the focal plane image stabilizing device. From experiments, the best driving frequency and duty ratio for the magnesium slider are 70 kHz and 27%, respectively.

• 제어로봇시스템학회:학술대회논문집
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• 2004.08a
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• pp.875-878
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• 2004

Researching in text detection and segmentation has been done for a long period in the OCR area. However, there is some other area that the text detection and segmentation from images can be very useful. In this report, we first propose the design of a mobile translator system which helps non-native speakers to understand the foreign language using ubiquitous mobile network and camera mobile phones. The main focus of the paper will be the algorithm in detecting and segmenting texts embedded in the natural scenes from taken images. The image, which is captured by a camera mobile phone, is transmitted to a translator server. It is initially passed through some preprocessing processes to smooth the image as well as suppress noises. A threshold is applied to binarize the image. Afterward, an edge detection algorithm and connected component analysis are performed on the filtered image to find edges and segment the components in the image. Finally, the pre-defined layout relation constraints are utilized in order to decide which components likely to be texts in the image. A preliminary experiment was done and the system yielded a recognition rate of 94.44% on a set of 36 various natural scene images that contain texts.