• Proceedings of the Korea Information Processing Society Conference
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• 2014.11a
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• pp.951-954
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• 2014

본 논문에서는 3 차원 이미지 시장은 현재 영상 산업, 게임 산업 등 그래픽 분야에서 상당히 주목 받고 있다. 인력과 시간을 낭비하지 않는 3 차원 복원 이론 중 볼륨 카빙의 새로운 기법을 제안하여, 그 성능을 분석하고 다른 여러 이론과의 차이점과 시장 접목 가능성, 효율성을 고찰해 보고자 한다.

• Proceedings of the Optical Society of Korea Conference
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• 2000.08a
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• pp.128-129
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• 2000

3차원 형상측정에서 많이 쓰이고 있는 모아레 간섭계에는 그 setup에 따라 Projection Type과 Shadow Type이 있다. 이러한 모아레 간섭계는 광원과 측정 카메라의 각도에 의해 물체의 형상을 측정하게 된다. 그러나, 이러한 광원과 측정 카메라의 각도에 의해 생겨나는 그림자에 의한 영향 때문에 물체의 형상이 굴곡이 심한 곳은 측정하기 어렵다. 본 논문에서는 아래 그림과 같이 두 개 이상의 광원을 사용하여 그 영향을 줄이기 위한 방법을 제안하였다. 이 방법은 projection type이나 shadow type에서 동일하게 적용 가능할 것으로 예상된다. (중략)

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.9
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• pp.4152-4158
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• 2012

The Stereo X-ray inspection system is designed for effectively providing the additional information of objects than the conventional inspection system that offers only 2D cross-section of objects. We studied the geometric improvement of the stereo X-ray inspection system, the stereo matching algorithm of the single object using the edge and the volume reconstruction method for the inspected object. In this paper, we conduct a matching algorithm to find the correspondences between the images and reconstruct 3-D shapes of real objects using the stereo X-ray images. Also, we apply a new 3D reconstruction algorithm for the discrimination of two objects. For the separation of the overlapping objects, we calculate the vector of the object and divide inner and outer voxel of objects. And for the elimination of the overlapping area, we study the reconstruct 3D shapes using the threshold based Z-axis. The experimental results show that the proposed technique can enhance the accuracy of stereo matching and give more efficient visualization for overlap objects in the restricted environment.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2013.05a
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• pp.919-920
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• 2013

• Korean Journal of Optics and Photonics
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• v.27 no.5
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• pp.165-173
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• 2016

In this paper, we propose a three-dimensional (3D) scanning system based on two line lasers. This system uses two line lasers with different wavelengths as light sources. 532-nm and 630-nm line lasers can compensate for missing scan data generated by geometrical occlusion. It also can classify two laser planes by using the red and green channels. For automatic registration of scanning data, we control a stepping motor and divide the motor's rotational degree of freedom into micro-steps. To this end, we design a control printed circuit board for the laser and stepping motor, and use an image processing board. To compute a 3D point cloud, we obtain 200 and 400 images with laser lines and segment lines on the images at different degrees of rotation. The segmented lines are thinned for one-to-one matching of an image pixel with a 3D point.

• The KIPS Transactions:PartB
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• v.12B no.5 s.101
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• pp.567-576
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• 2005

This paper proposes an image-based modeling method which recovers 3D models using projected line segments in multiple images. Using the method, a user obtains accurate 3D model data via several steps of simple manual works. The embedded nonlinear minimization technique in the model parameter estimation stage is based on the distances between the user provided image line segments and the projected line segments of primitives. We define an error using a finite line segment and thus increase accuracy in the model parameter estimation. The error is defined as the sum of differences between the observed image line segments provided by the user and the predicted image line segments which are computed using the current model parameters and camera parameters. The method is robust in a sense that it recovers 3D structures even from partially occluded objects and it does not be seriously affected by small measurement errors in the reconstruction process. This paper also describesexperimental results from real images and difficulties and tricks that are found while implementing the image-based modeler.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2012.10a
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• pp.527-528
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• 2012

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.695-698
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• 2014

As most the scanning systems developed until now provide radiation scan plane images of the inspected objects, there has been a limitation in judging exactly the shape of the objects inside a logistics container exactly with only 2-D radiation image information. Two 2-dimensional radiation images which have different disparity values are acquired from a newly designed stereo image acquisition system which has one additional line sensor to the conventional system. Using a matching algorithm the 3D reconstruction process which find the correspondence between the images is progressed. In this paper, we proposed a new volume based 3D reconstruction algorithm and experimental results show the proposed new volume based reconstruction technique can provide more efficient visualization for cargo inspection. The proposed technique can be used for the development of the high speed and more efficient non-destructive auto inspection system.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.38 no.6
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• pp.70-81
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• 2001

This paper presents a 3D face modeling method using a CCD camera and a projector (LCD projector or Slide projector). The camera faces the human face and the projector casts white stripe patterns on the human face. The 3D shape of the face is extracted from spatial and temporal locations of the white stripe patterns on a series of image frames. The proposed method employs region segmentation and multi-beam techniques for efficient 3D modeling of hair region and faster 3D scanning respectively. In the proposed method, each image is segmented into face, hair, and shadow regions, which are independently processed to obtain the optimum results for each region. The multi-beam method， which uses a number of equally spaced stripe patterns, reduces the total number of image frames and consequently the overall data acquisition time. Light beam calibration is adopted for efficient light plane measurement, which is not influenced by the direction (vertical or horizontal) of the stripe patterns. Experimental results show that the proposed method provides a favorable 3D face modeling results, including the hair region.

• Proceedings of the Korea Contents Association Conference
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• 2005.11a
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• pp.622-626
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• 2005

Voxel Coloring is one of the well known methods to reconstruct three dimensional shape from calibrated two dimensional multiple-view images. This paper proposes an advanced Voxel Coloring to complement drawbacks of previous color consistency tests. We propose an adaptive threshold using double threshold and an weight component to test color consistency. From the reconstruction experiment, we have verified that our proposed method outperforms the previous one.