• The Transactions of The Korean Institute of Electrical Engineers
• /
• v.64 no.3
• /
• pp.458-464
• /
• 2015

This paper proposes a portable 3-D scanning technique using a laser pointer. 3-D scanning is a process that acquires surface information from an 3-D object. There have been many studies on 3-D scanning. The methods of 3-D scanning are summarized into some methods based on multiple cameras, line lasers, and light pattern recognition. However, those methods has major disadvantages of their high cost and big size for portable appliances such as smartphones and digital cameras. In this paper, a 3-D scanning system using a low-cost and small-sized laser pointer are introduced to solve the problems. To do so, we propose a 3-D localization technique for a laser point. The proposed method consists of two main parts; one is a fast recognition of input images to obtain 2-D information of a point laser and the other is calibration based on the least-squares technique to calculate the 3-D information overall. To verified our method, we carry out experiments. It is proved that the proposed method provides 3-D surface information although the system is constructed by extremely low-cost parts such a chip laser pointer, compared to existing methods. Also, the method can be implemented in small-size; thus, it is enough to use in mobile devices such as smartphones.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.33 no.5
• /
• pp.437-442
• /
• 2015

Recently, the size of point cloud is increasing rapidly with the high advancement of 3D terrestrial laser scanners. The study aimed for improving a file-referring octree, introduced in the preceding study, which had been intended to generate an octree and to query points from a large point cloud, gathered by 3D terrestrial laser scanners. To the end, every leaf node of the octree was designed to store only one file-pointer of its first point. Also, the point cloud file was re-constructed to store points sequentially, which belongs to a same leaf node. An octree was generated from a point cloud, composed of about 300 million points, while time was measured during querying proximate points within a given distance with series of points. Consequently, the present method performed better than the preceding one from every aspect of generating, storing and restoring octree, so as querying points and memorizing usage. In fact, the query speed increased by 2 times, and the memory efficiency by 4 times. Therefore, this method has explicitly improved from the preceding one. It also can be concluded in that an octree can be generated, as points can be queried from a huge point cloud, of which larger than the main memory.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.23 no.6
• /
• pp.539-544
• /
• 2013

In this paper, we was designed three-dimensional face recognition algorithm using polynomial based RBFNNs and proposed method to calculate the recognition performance. In case of two-dimensional face recognition, the recognition performance is reduced by the external environment like facial pose and lighting. In order to compensate for these shortcomings, we perform face recognition by obtaining three-dimensional images. obtain face image using three-dimension scanner before the face recognition and obtain the front facial form using pose-compensation. And the depth value of the face is extracting using Point Signature method. The extracted data as high-dimensional data may cause problems in accompany the training and recognition. so use dimension reduction data using PCA algorithm. accompany parameter optimization using optimization algorithm for effective training. Each recognition performance confirm using PSO, DE, GA algorithm.

• Journal of Korean Society for Geospatial Information Science
• /
• v.21 no.2
• /
• pp.11-17
• /
• 2013

Nowadays 3D models are used in diverse sectors. The 3D maps provide better reality than existing plane maps as well as diverse pieces of information that cannot be expected from the limited plane maps. A process proposed in this paper enables easy and quick production by replacing the expensive laser scanners for modeling by an improved digital camera stereo matching algorithm. The algorithm used in this study was a SURF algorithm contained in the OpenCV library. The unconformity points of the algorithm were eliminated using the homography conversion and epipolar lines. In addition, the improved algorithm was compared with the commercial program, and it showed a better performance than the commercial program. It is expected that the proposed method can contribute to the digital maps and 3D virtual reality because it enables easy and quick 3D modeling provided that the stereo matching conditions are met.

• Journal of the korean academy of Pediatric Dentistry
• /
• v.30 no.1
• /
• pp.132-142
• /
• 2003

This study is performed to investigate the characteristics of the palatal morphology of the children with anterior crossbite in Hellman dental age IIIA by 3-dimensional laser scanner. Totally 40 study casts were taken; 20 were from children with crossbite and another 20 were from normal occlusion as a control. Each cast was scanned by 3 dimension laser scanner and shaped by the 3 dimension image by rapidform 2000 program(INUS, Korea). And finally it was calculated by Rhino 3D program(Rhinoceros, USA). The intercanine, intermolar cross-sectioned transverse plane and sagittal plane were measured. Due to the variations in palatal morphology, each group was standardized into 25mm, 35mm, 35mm. By sectioning standardized curves of the Palatal morphology per 1mm, the palatal depth of each point was calculated. Through these complex methods, the mean curves of the palatal morphology could be obtained and the values were statistically compared and evaluated by T-test with 95% of significance level. The results were as follows: 1. In the intercanine cross-sectioned transverse plane, the mean curve of palatal morphology of crossbite group was flatter V shape than that of control group, however, there was no statistical significance was found between two groups(P>0.05). 2. In the intermolar cross-sectioned transverse plane, the mean curve of palatal morphology of crossbite was deeper all over the area than that of control group, and the statistical significance was found in the middle area from point 8 to 21(P<0.05). 3. In the sagittal plane, the mean curve of palatal morphology of crossbite group was more deepening as approaching posteriorly than that of control group, and the statistical significance was found in all over the area(P<0.01).

• Journal of Korean Society for Geospatial Information Science
• /
• v.15 no.4
• /
• pp.81-88
• /
• 2007

The geometry of satellite image captured by linear CCD sensor is different from that of frame camera image. The fact that the exterior orientation parameters for satellite image with linear CCD sensor varies from scan line by scan line, causes the difference of image geometry between frame and linear CCD sensor. Therefore, we need the epipolar geometry for linear CCD image which differs from that of frame camera image. In this paper, we proposed a method of resampling linear CCD satellite image in epipolar geometry under the assumption that image is not formed in perspective projection but in parallel projection, and the sensor model is a 2D affine sensor model based on parallel projection. For the experiment, IKONOS stereo images, which are high resolution linear CCD images, were used and tested. As results, the spatial accuracy of 2D affine sensor model is investigated and the accuracy of epipolar resampled image with RFM was presented.

• Proceedings of the KIEE Conference
• /
• 2004.11c
• /
• pp.27-29
• /
• 2004

This paper presents a sensor model design based on Monte Carlo Localization method. First, we define the measurement error of each sample using a map matching method by 2-D laser scanners and a pre-constructed grid-map of the environment. Second, samples are assigned probabilities due to matching errors from the gaussian probability density function considered of the sample's convergence. Simulation using real environment data shows good localization results by the designed sensor model.

• 한국HCI학회:학술대회논문집
• /
• 2008.02a
• /
• pp.397-402
• /
• 2008

본 논문에서는 햅틱 인터랙션 기반의 3차원 가상 얼굴 메이크업 시뮬레이션에서 메이크업 대상에 대한 정교한 페인팅을 적용하기 위한 자동화된 마스크 생성 방법을 개발한다. 본 연구에서는 메이크업 시뮬레이션 이전의 전처리 과정에서 마스크를 생성한다. 우선, 3차원 스캐너 장치로부터 사용자의 얼굴 텍스쳐 이미지와 3차원 기하 표면 모델을 획득한다. 획득된 얼굴 텍스쳐 이미지로부터 AdaBoost 알고리즘, Canny 경계선 검출 방법과 색 모델 변환 방법 등의 영상처리 알고리즘들을 적용하여 마스크 대상이 되는 주요 특정 영역(눈, 입술)들을 결정하고 얼굴 이미지로부터 2차원 마스크 영역을 결정한다. 이렇게 생성된 마스크 영역 이미지는 3차원 표면 기하 모델에 투영되어 최종적인 3차원 특징 영역의 마스크를 레이블링하는데 사용된다. 이러한 전처리 과정을 통하여 결정된 마스크는 햅틱 장치와 스테레오 디스플레이기반의 가상 인터페이스를 통해서 자연스러운 메이크업 시뮬레이션을 수행하는데 사용된다. 본 연구에서 개발한 방법은 사용자에게 전처리 과정에서의 어떠한 개입 없이 자동적으로 메이크업 대상이 되는 마스크 영역을 결정하여 정교하고 손쉬운 메이크업 페인팅 인터페이스를 제공한다.

• Proceedings of the Korean Information Science Society Conference
• /
• 2007.10c
• /
• pp.495-500
• /
• 2007

2차원 기반의 얼굴 분석 및 처리 알고리즘은 포즈 및 조명에 강인하지 못한 문제점들이 존재한다. 이러한 이유로 3차원 기반의 얼굴 분석 및 처리 분야에 많은 연구를 진행하려 하였지만, 컴퓨팅 파워의 한계와 고속 스캐너의 부재 등으로 많은 연구가 진행되지 못하였다. 하지만 오늘날 하루가 다르게 빨라지고 있는 컴퓨터의 성능으로 인해 추출했던 연구들이 다시 진행되고 있다. 이에 본 논문에서는 영상 등록(image Registration) 알고리즘의 한 종류인 Inverse Compositional Image Alignment 알고리즘을 3차원 모퍼블 모델에 적용 및 구현을 하였으며, 기존의 다른 영상 등록 알고리즘과 비교를 하였다.

• Journal of the Korean Society for Precision Engineering
• /
• v.17 no.5
• /
• pp.76-83
• /
• 2000

Shape reconstruction is considered as a new technology to be useful and important in many areas such as RPD (Rapid Product Development) and reverse engineering, compared with the conventional design and manufacturing. In shape reconstruction, it becomes possible to reconstruct objects not by their measured shape data but those data extracted from the original shape. The goal of this research is to realize 3D shape construction by showing a possible way to analyze the input image data and reconstruct that original shape. The main 2 steps of the reconstructing process are getting cross-section data from image processing and linking loops between one slice and the next one. And the reconstructed object in this way is compared with the other object using a laser scanner and modelled by an commercial software.