• The Journal of Korean Institute of Communications and Information Sciences
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• v.24 no.8B
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• pp.1412-1420
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• 1999

In order to enhance multi-channel audio signals, Dolby Pro Logic is widely used especially for the Hi-Fi audio system, since it can provide highly stereophonic effects and a nice separation of multi-channel sound. This paper describes an implementation of Dolby Pro Logic decoder with ARM-7 core. The code is modified for the fixed point operation and optimized. For the verification of the code, the operation time and the precision are estimated thoroughly. As a result, it is verified that Dolby Pro Logic decoder can be implemented with ARM-7 core operating at 54 MHz.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.15 no.1
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• pp.41-50
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• 1997

This study is aimed to suggest the method, color channel seperation, can match the common points in real-time automatically. Image coordinates which was calculated from the acquired image with CCDcamera in this study is checked with two methods; check the accuracy of image coordinate and common point matching through correct sort. In conclusion of check, The RMSE of object coordinate which is calculated by photogrammetry program with image coordinate is in the expect RMSE of close-range photogrammetry, and Match-ing of common point is also performed correctly by using sort. For these reason, this color channel separation method is adequate for the acquisition of accurate image coordinates and the matching of the common points. I think that this method will be useful for the fields of industry which need fast-correct processing with acquired information in real-time.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.41 no.4
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• pp.91-100
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• 2004

In this paper, we propose the method that analyzes the depth of object using 2 images in the disparity algorithm. It also presents the design and implementation of the proposed method for a real time processing. The proposed system uses the vertical strip structure for calculating similar pixel numbers for the processing and converts the depth of object into gray scale images in order to be displayed on various display devices. The hardware using the proposed method is operating with 30 frames/sec and verified by using the Altera APEX 20K1000EBC652-3. The proposed method is also Implemented into It by using the Hynix 0.35${\mu}{\textrm}{m}$ CB35 ASIC library and 256PQFP package.

• Journal of Korea Multimedia Society
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• v.14 no.2
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• pp.171-181
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• 2011

A vision-based method for positioning and orienting of pallets is presented in this paper, which guides autonomous forklifts to engage pallets automatically. The method uses a single camera mounted on the fork carriage instead of two cameras for stereo vision that is conventionally used for positioning objects in 3D space. An image back-projection technique for determining the orient of a pallet without any fiducial marks is suggested in tins paper, which projects two feature lines on the front plane of the pallet backward onto a virtual plane that can be rotated around a given axis in 3D space. We show the fact that the rotation angle of the virtual plane on which the back-projected feature lines are parallel can be used to describe the orient of the pallet front plane. The position of the pallet is determined by using ratio of the distance between the back-projected feature lines and their real distance on the pallet front plane. Through a test on real pallet images, we found that the proposed method was applicable to real environment practically in real-time.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.39 no.4
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• pp.429-441
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• 2002

This paper concerns extracting 3D motion information from a 3D input device in real time focused to enabling effective human-computer interaction. In particular, we develop a novel algorithm for extracting 6 degrees-of-freedom motion information from a 3D input device by employing an epipolar geometry of stereo camera, color, motion, and structure information, free from requiring the aid of camera calibration object. To extract 3D motion, we first determine the epipolar geometry of stereo camera by computing the perspective projection matrix and perspective distortion matrix. We then incorporate the proposed Motion Adaptive Weighted Unmatched Pixel Count algorithm performing color transformation, unmatched pixel counting, discrete Kalman filtering, and principal component analysis. The extracted 3D motion information can be applied to controlling virtual objects or aiding the navigation device that controls the viewpoint of a user in virtual reality setting. Since the stereo vision-based 3D input device is wireless, it provides users with a means for more natural and efficient interface, thus effectively realizing a feeling of immersion.

• The Journal of the Korea Contents Association
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• v.9 no.5
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• pp.13-23
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• 2009

One of the main purpose of multiple-view image processing technology is support realistic 3D image to device user by using multiple viewpoint display devices and compressed data restoration devices. This paper proposes a multiple view image synthesis scheme based on RAM disk which makes possible to browse 3D images generated by applying effective composing method to real time input stereo images. The proposed scheme first converts input images to binary image. We applies edge detection algorithm such as Sobel algorithm and Prewiit algorithm to find edges used to evaluate disparities from images of 4 multi-cameras. In addition, we make use of time interval between hardware trigger and software trigger to solve the synchronization problem which has stated ambiguously in related studies. We use a unique identifier on each snapshot of images for distributed environment. With respect of performance results, the proposed scheme takes 0.67 sec in each binary array. to transfer entire images which contains left and right side with disparity information for high quality 3D image browsing. We conclude that the proposed scheme is suitable for real time 3D applications.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.38 no.5
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• pp.538-547
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• 2001

Currently, 2D real-time image coding techniques had great developments and many related products were commercially developed. However, these techniques lack the capability of handling 3D actuality, occurred by the advent of virtual reality, because they handle only the temporal transmission for 2D image. Besides, many 3D virtual reality researches have been studied in computer graphics. Since the graphical researches were limited to the application of artificial models, the 3D actuality for real scene images could not be managed also. Therefore, a new 3D model extraction method based on stereo vision, that can deal with real scene virtual reality, is proposed in this paper. The proposed method adapted a compact genetic algorithm using population-based incremental learning (PBIL) to matching environments, in order to reduce memory consumption and computational time of conventional genetic algorithms. Since the PBIL used a probability vector and competitive learning, the matching algorithm became simple and the computation load was considerably reduced. Moreover, the matching quality was superior than conventional methods. Even if the characteristics of images are changed, stable outputs were obtained without the modification of the matching algorithm.

• Journal of Internet Computing and Services
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• v.7 no.5
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• pp.135-145
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• 2006

This paper presents a novel approach to real-time recognition of 3D environment and objects for intelligent robots. First. we establish the three fundamental principles that humans use for recognizing and interacting with the environment. These principles have led to the development of an integrated approach to real-time 3D recognition and modeling, as follows: 1) It starts with a rapid but approximate characterization of the geometric configuration of workspace by identifying global plane features. 2) It quickly recognizes known objects in environment and replaces them by their models in database based on 3D registration. 3) It models the geometric details on the fly adaptively to the need of the given task based on a multi-resolution octree representation. SIFT features with their 3D position data, referred to here as stereo-sis SIFT, are used extensively, together with point clouds, for fast extraction of global plane features, for fast recognition of objects, for fast registration of scenes, as well as for overcoming incomplete and noisy nature of point clouds. The experimental results show the feasibility of real-time and behavior-oriented 3D modeling of workspace for robotic manipulative tasks.

• Proceedings of the IEEK Conference
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• 2001.09a
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• pp.341-344
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• 2001

본 논문은 두 대의 카메라로 제안하는 물체의 색상, 움직임, 형태상의 특성을 이용하여 3차원 공간상의 움직임을 실시간으로 추출하는 것을 목적으로 한다. 본 논문에서 제안하는 물체는 구조상 물체 자체가 캘리브레이션 물체의 역할을 포함하여 캘리브레이션이 되지 않은 상황에서도 정확하게 물체의 3차원 정보를 추출할 수 있으므로 3차원 입력 디바이스로 이용할 수 있다. 3차원 움직임을 추출하기 위해 먼저 3차원 공간상의 물체와 좌우 영상의 상관관계를 구하고 좌우 즉 영상에서 원이 위치할 탐색영역은 MAWUPC 알고리즘을 이용하여 예측한다. 탐색영역 안에서 PCA를 사용하여 원의 정확한 위치를 찾으며 좌우 영상에서 얻은 원의 위치와 스테레오 카메라의 기하학적 구조를 종합하여 3차원 움직임을 추출한다. 추출한 3차원 움직임은 가상환경에서 가상 물체의 움직임을 제어하는데 응용할 수 있다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2011.07a
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• pp.303-304
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• 2011

영역기반 스테레오 매칭의 분야에서 최근 인간의 시각체계(Human Visual System)에 기반하여 영역내의 밝기값과 거리값에 따라 적응적으로 가중치를 부여하는 적응적 영역 가중치(Adaptive Support-Weight) 방법이 좋은 매칭 결과를 보이고 있다. 하지만 이 방법은 영역 윈도우의 크기가 커짐에 따라 기하급수적으로 계산량이 많아지는 단점을 보이고 있다. 이에 Bilateral filter 수식으로 근사화 후 Integral Histogram 기법을 적용하여 영역 윈도우의 크기에 상관없이 상수 시간 O(1) 내에 매칭을 수행하는 연구가 진행되었다. 하지만 이 방법은 근사화 과정에서의 원 ASW 수식을 왜곡하기 때문에 매칭 정확도의 손실을 가져오게 된다. 이에 본 논문에서는 Bilateral 접근 방식, Sub-Block 방식 및 적응적 시차 탐색 방식에 대하여 각 방식에서 필요한 메모리 자원과 소모되는 계산량의 비용과 동시에 매칭 결과 정확도 면에서 비교하고 가장 좋은 접근 방식을 도출하고자 한다.